Ad hoc network endogenous security communication method and system based on environment characteristics, electronic equipment and computer readable storage medium

Abstract

The invention provides an environment feature-based ad hoc network endogenous security communication method and system, electronic equipment and a computer readable storage medium, and belongs to the technical field of wireless communication. According to the method, environment electromagnetic characteristics are used for driving key generation and adjustment, the limitation of traditional static encryption is broken through, and through cooperation of physical layer encryption and data modulation and fusion of network layer protection, the data confidentiality, the attack resistance and the network robustness are remarkably improved; the method is especially suitable for safety requirements of an ad hoc network radio station in dynamic scenes of military communication, emergency rescue and the like.

Description

Technical Field

[0001] This invention belongs to the field of wireless communication technology, and particularly relates to an intrinsically secure communication method, system, electronic device, and computer-readable storage medium for self-organizing networks based on environmental characteristics. Background Technology

[0002] Ad hoc network communication is a wireless communication technology that requires no fixed infrastructure and is widely used in scenarios such as military communications and emergency rescue. Its nodes forward data through dynamic routing, offering advantages such as flexible topology and convenient deployment. However, due to the lack of centralized management, ad hoc networks are vulnerable to threats such as routing attacks, eavesdropping, and denial-of-service attacks, posing challenges to data security and network availability.

[0003] In existing technologies, security protection mainly relies on network layer secure routing protocols (such as the Authentication Routing Protocol ARAN) and application layer encryption algorithms (such as AES). For example, ARAN protects routing messages through digital signatures, but it is not adaptable enough to physical layer eavesdropping and dynamic environmental changes; while application layer encryption can ensure data confidentiality, it cannot cope with node resource constraints and the real-time requirements of multi-hop communication. In recent years, physical layer security technologies have made some progress by using Channel State Information (CSI) to generate keys, but these are mostly focused on point-to-point communication and have not fully addressed the dynamic and complex issues in multi-hop scenarios of ad hoc networks. Therefore, there is an urgent need for an intrinsically secure communication method that adapts to the dynamic environment of ad hoc networks and covers multiple layers to improve anti-attack capabilities and data protection effectiveness. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention proposes an intrinsically secure communication method, system, electronic device, and computer-readable storage medium for self-organizing networks based on environmental characteristics.

[0005] The first aspect of this invention discloses an intrinsically secure communication method for ad hoc networks based on environmental characteristics, the method comprising: Step S1: Collect electromagnetic signals within a preset range from the network communication nodes, extract electromagnetic spectrum features from the electromagnetic signals, and then quantize the electromagnetic spectrum features based on the quantization function that maximizes entropy to generate an initial dynamic key related to the spatiotemporal characteristics of the environment. Among them, the electromagnetic spectrum characteristics include the channel fading coefficient H, the noise power spectral density N0, and the signal power spectral density P(f); Step S2: Real-time detection of the rate of change of the channel fading coefficient H. When the rate of change of the channel fading coefficient H is greater than a preset threshold, the initial dynamic key is adjusted using an interpolation algorithm to obtain the corrected dynamic key. Step S3: Encrypt the data D to be transmitted using the modified dynamic key, and achieve secure data transmission through orthogonal frequency division multiplexing modulation. During data transmission, an authentication routing protocol is used to protect the data transmission.

[0006] Optionally, in step S1, the electromagnetic spectrum features are quantized based on a quantization function that maximizes entropy to generate an initial dynamic key related to the spatiotemporal characteristics of the environment, specifically including: The signal-to-noise ratio (SNR) is calculated based on the extracted channel fading coefficient H, noise power spectral density N0, and signal power spectral density P(f). Then, an initial dynamic key related to the spatiotemporal characteristics of the environment is generated using a quantization function based on entropy maximization. The formula for the quantization function based on entropy maximization is as follows: ; Where Q(f) represents the function value of the quantization function based on entropy maximization; floor represents flooring down; The initial dynamic key is obtained by converting the function value of the quantization function based on entropy maximization into binary.

[0007] Optionally, in step S2, the next channel fading coefficient is predicted by Lagrange interpolation based on the three newly extracted channel fading coefficients, so as to adjust the initial dynamic key and obtain the corrected dynamic key.

[0008] Optionally, in step S3, a chaotic sequence is generated using the Logistic mapping function, and then XORed bit by bit with the data to be transmitted D to obtain the ciphertext, thereby achieving encryption.

[0009] Optionally, in step S3, the subcarrier spacing of the orthogonal frequency division multiplexing modulation is dynamically adjusted according to the channel fading coefficient.

[0010] Optionally, in step S3, when using an authentication routing protocol to protect data transmission, a digital signature is generated using the modified dynamic key.

[0011] A second aspect of this invention discloses an intrinsically secure communication system for ad hoc networks based on environmental characteristics, characterized in that it comprises: The spectrum sensing module is configured to collect electromagnetic signals within a preset range from the network communication nodes and extract electromagnetic spectrum features from the electromagnetic signals; wherein, the electromagnetic spectrum features include the channel fading coefficient H, the noise power spectral density N0, and the signal power spectral density P(f). The dynamic key generation module is configured to quantize electromagnetic spectrum features based on an entropy-maximizing quantization function to generate an initial dynamic key related to the spatiotemporal characteristics of the environment. The intrusion detection and key adjustment module is configured to detect the rate of change of the channel fading coefficient H in real time, and when the rate of change of the channel fading coefficient H is greater than a preset threshold, use an interpolation algorithm to adjust the initial dynamic key to obtain a corrected dynamic key. The physical layer encryption module is configured to encrypt the data D to be transmitted using a modified dynamic key and to achieve secure data transmission through orthogonal frequency division multiplexing modulation. The network layer security module is configured to protect data transmission using an authenticated routing protocol to build an intrinsic security architecture across the physical layer and the network layer.

[0012] Optionally, the dynamic key generation module is configured as follows: The signal-to-noise ratio (SNR) is calculated based on the extracted channel fading coefficient H, noise power spectral density N0, and signal power spectral density P(f). Then, an initial dynamic key related to the spatiotemporal characteristics of the environment is generated using a quantization function based on entropy maximization. The formula for the quantization function based on entropy maximization is as follows: ; Where Q(f) represents the function value of the quantization function based on entropy maximization; floor represents flooring down; The initial dynamic key is obtained by converting the function value of the quantization function based on entropy maximization into binary.

[0013] A third aspect of this invention discloses an electronic device. The electronic device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of the environmental feature-based intrinsically secure communication method for ad hoc networks described in the first aspect of this invention.

[0014] A fourth aspect of this invention discloses a computer-readable storage medium. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the environmental feature-based intrinsically secure communication method for ad hoc networks described in the first aspect of this invention.

[0015] The beneficial effects of this invention are as follows: by using environmental electromagnetic characteristics to drive key generation and adjustment, it breaks through the limitations of traditional static encryption. Through the synergy of physical layer encryption and data modulation and the integration of network layer protection, it significantly improves data confidentiality, anti-attack capability and network robustness. It is particularly suitable for the security needs of self-organizing network radios in dynamic scenarios such as military communication and emergency rescue. Attached Figure Description

[0016] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1This is a flowchart illustrating the overall process of the self-organizing network intrinsically secure communication method based on environmental characteristics, according to an embodiment of the present invention. Figure 2 This is a schematic diagram illustrating the dynamic key generation and adjustment in an embodiment of the present invention; Figure 3 This is a schematic diagram of a cross-layer security architecture according to an embodiment of the present invention; Figure 4 This is a structural diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] This application aims to address the problem that traditional security mechanisms in ad hoc network communication are insufficiently adaptable to dynamic topology and physical layer attacks, and to provide an intrinsically secure communication method for ad hoc networks based on environmental characteristics.

[0020] The first aspect of this invention discloses an intrinsically secure communication method for ad hoc networks based on environmental characteristics. Please refer to [link to relevant documentation]. Figure 1 The method includes: Step S1: Collect electromagnetic signals within a preset range from the network communication nodes, extract electromagnetic spectrum features from the electromagnetic signals, and then quantize the electromagnetic spectrum features based on the quantization function that maximizes entropy to generate an initial dynamic key related to the spatiotemporal characteristics of the environment; wherein, the electromagnetic spectrum features include the channel fading coefficient H, the noise power spectral density N0, and the signal power spectral density P(f). In this step, the quantization function based on entropy maximization is not specifically limited, as long as it can quantize the extracted electromagnetic spectrum features to generate the initial dynamic key.

[0021] Optionally, in step S1, the electromagnetic spectrum features are quantized based on a quantization function that maximizes entropy to generate an initial dynamic key related to the spatiotemporal characteristics of the environment, specifically including: The signal-to-noise ratio (SNR) is calculated based on the extracted channel fading coefficient H, noise power spectral density N0, and signal power spectral density P(f). Then, an initial dynamic key related to the spatiotemporal characteristics of the environment is generated using a quantization function based on entropy maximization. The formula for the quantization function based on entropy maximization is as follows: ; Where Q(f) represents the function value of the quantization function based on entropy maximization; floor represents flooring down; The initial dynamic key is obtained by converting the value of the entropy-maximizing quantization function into binary. The goal of this formula is to map the continuous variable SNR (typically ranging from 1 to 1000, corresponding to 0 to 30 dB) to 8-bit unsigned integers from 0 to 255 so that it can be directly concatenated into a 256-bit initial key.

[0022] Without amplification, the maximum value of ln(SNR) is only 6.9, which is much smaller than 255, resulting in a large number of code points being left unused and severe entropy loss.

[0023] When k=28, the quantization index distribution corresponding to the SNR in the range of 1–1000 is closest to uniform, and the measured entropy is ≈7.99 bits / byte (8-bit upper limit). Therefore, 28 was chosen as the "empirical optimal" coefficient, which both ensures that the upper limit of ln(SNR) of 6.9 is amplified to about 193, and avoids excessive sparsity in the low SNR region.

[0024] Step S2: Real-time detection of the rate of change of the channel fading coefficient H. When the rate of change of the channel fading coefficient H is greater than a preset threshold, the initial dynamic key is adjusted using an interpolation algorithm to obtain the corrected dynamic key. Optionally, in step S2, the next channel fading coefficient is predicted by calculating using Lagrange interpolation based on the three most recently extracted channel fading coefficients, in order to adjust the initial dynamic key and obtain the corrected dynamic key. A schematic diagram of dynamic key generation and adjustment is shown below. Figure 2 As shown.

[0025] Step S3: Encrypt the data D to be transmitted using the modified dynamic key, and achieve secure data transmission through orthogonal frequency division multiplexing modulation; wherein, during the data transmission process, an authentication routing protocol is used to protect the data transmission.

[0026] Optionally, in step S3, a chaotic sequence is generated using the Logistic mapping function, and then XORed bit by bit with the data to be transmitted D to obtain the ciphertext, thereby achieving encryption.

[0027] Optionally, in step S3, the subcarrier spacing of the orthogonal frequency division multiplexing modulation is dynamically adjusted according to the channel fading coefficient.

[0028] Optionally, in step S3, when using an authentication routing protocol to protect data transmission, a digital signature is generated using the modified dynamic key.

[0029] Please see Figure 3 This is a schematic diagram of a cross-layer security architecture, including: (1) Collect electromagnetic spectrum features around the self-organizing communication node at the physical layer, extract and quantify the features to generate a dynamic key related to the spatiotemporal characteristics of the environment; (2) Real-time detection of changes in electromagnetic spectrum characteristics; when the changes exceed a preset threshold, an interpolation algorithm is used to adjust the dynamic key. (3) At the physical layer, the data is encrypted using the adjusted dynamic key and secure transmission is achieved through orthogonal frequency division multiplexing (OFDM) modulation; (4) Combine secure routing protocols and intrusion detection mechanisms at the network layer to build a cross-layer intrinsic security architecture from the physical layer to the network layer.

[0030] The present invention will now be described with reference to a specific embodiment.

[0031] (1) Collect electromagnetic spectrum characteristics and generate dynamic keys; In a self-organizing network radio, a spectrum sensing module is configured to collect the spectrum signals of the surrounding electromagnetic environment using a broadband antenna. The collected signals include the channel fading coefficient H, noise power spectral density N0, and signal power spectral density. A 1-second signal is collected at a sampling frequency of 10MHz. After obtaining the spectrum data, features are extracted using a Fast Fourier Transform (FFT). The extracted features are then quantized using a quantization function based on entropy maximization. A 256-bit initial key K0 is generated. For example, if the SNR of a certain frequency band is 20dB, a partial key fragment is obtained after quantization. The communicating parties ensure key consistency through error correction codes (such as BCH codes).

[0032] Given: The channel gain corresponding to the channel fading coefficient H (i.e., the square of the channel fading coefficient magnitude) |H| 2 =0.01 (corresponds to -20 dB fading).

[0033] Signal power spectral density P(f) = 10 -9 W / Hz (uniform distribution).

[0034] Noise power spectral density N0=10 -12 W / Hz.

[0035] Signal bandwidth B = 10MHz = 10 7 Hz.

[0036] Calculation steps: Total power of transmitted signal ; Received signal power ; Noise power ; SNR (Linear Value): SNRlinear =10 -4 / 10 -5 =10; SNR (dB): SNRdB = 10log 10 (10) = 10dB; Q(f)=floor(ln(10)×28)≈floor(2.302×28)=64; The value is converted into binary as a key fragment to ensure that the key changes dynamically with the channel environment.

[0037] (2) Detect environmental changes and adjust the key; The rate of change of the channel fading coefficient H is monitored in real time, with a threshold ΔE set at 5 dB. When the difference in the eigenvalues ​​of the channel fading coefficients between adjacent time points, |H{t} - H{t-1}|, exceeds 5 dB, a key adjustment mechanism is triggered. Using the Lagrange interpolation algorithm, an interpolation function L(x) is calculated based on the eigenvalues ​​of the three most recent channel fading coefficients (H{t-2}, H{t-1}, H{t}), generating the adjusted key K1. For example, if H{t} = -15 dB, H{t-1} = -7 dB, and H{t-2} = -5 dB, the interpolation result updates the key to K1. The adjusted key length remains 256 bits to ensure encryption strength.

[0038] (3) Physical layer encryption and OFDM modulation; At the sending end, the adjusted key K1 is used to encrypt the data D to be transmitted. Encryption employs a chaotic mapping method, defining a Logistic mapping function. The initial value x{0} is determined by the first 32 bits of K1, generating a chaotic sequence S, where x{n} is the chaotic state value of the nth iteration. This sequence is then XORed bit-by-bit with the data D to obtain the ciphertext C = D ⊕ S. For example, if D is "0101" and S is "1100", then C is "1001". Subsequently, the ciphertext C is input into the OFDM modulation module, which sets 64 subcarriers. The subcarrier spacing Δf is dynamically adjusted according to the channel fading H (e.g., Δf decreases to 15kHz when H increases). An IFFT transform is then used to generate the modulated signal, which is then transmitted.

[0039] (4) Network layer security routing and intrusion detection; At the network layer, the Authentication Routing Protocol (ARAN) is used to protect data transmission. The sending node generates a digital signature using K1 and attaches it to the routing request message. Intermediate nodes verify the signature before forwarding the message. The receiving end decrypts the ciphertext C and recovers the data D. Simultaneously, a distributed intrusion detection module is deployed to detect the rate of change of H, dH / dt. If dH / dt is abnormal (e.g., exceeding 0.5 dB / ms), it is identified as a potential attack, triggering a key reset and isolating suspicious nodes. For example, if a node continuously sends abnormal routing requests, it is removed from the routing table.

[0040] (5) System operation and effect verification; In this embodiment, two self-organizing network radios communicate within a 100m range, with environmental changes simulating a battlefield movement scenario. Test results show that the average key entropy reaches 0.98, approaching ideal randomness; and the data transmission error rate is less than 10%. -5 The success rate of anti-eavesdropping increased to over 95%, and network throughput remained stable, verifying the effectiveness of this method.

[0041] A second aspect of this invention discloses an intrinsically secure communication system for ad hoc networks based on environmental characteristics, characterized in that it comprises: The spectrum sensing module is configured to collect electromagnetic signals within a preset range from the network communication nodes and extract electromagnetic spectrum features from the electromagnetic signals; wherein, the electromagnetic spectrum features include the channel fading coefficient H, the noise power spectral density N0, and the signal power spectral density P(f). The dynamic key generation module is configured to quantize electromagnetic spectrum features based on an entropy-maximizing quantization function to generate an initial dynamic key related to the spatiotemporal characteristics of the environment. The intrusion detection and key adjustment module is configured to detect the rate of change of the channel fading coefficient H in real time, and when the rate of change of the channel fading coefficient H is greater than a preset threshold, use an interpolation algorithm to adjust the initial dynamic key to obtain a corrected dynamic key. The physical layer encryption module is configured to encrypt the data D to be transmitted using a modified dynamic key and to achieve secure data transmission through orthogonal frequency division multiplexing modulation. The network layer security module is configured to protect data transmission using an authenticated routing protocol to build an intrinsic security architecture across the physical layer and the network layer.

[0042] Optionally, the dynamic key generation module is configured as follows: The signal-to-noise ratio (SNR) is calculated based on the extracted channel fading coefficient H, noise power spectral density N0, and signal power spectral density P(f). Then, an initial dynamic key related to the spatiotemporal characteristics of the environment is generated using a quantization function based on entropy maximization. The formula for the quantization function based on entropy maximization is as follows: ; Where Q(f) represents the function value of the quantization function based on entropy maximization; floor represents flooring down; The initial dynamic key is obtained by converting the function value of the quantization function based on entropy maximization into binary.

[0043] A third aspect of this invention discloses an electronic device. The electronic device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of the environmental feature-based intrinsically secure communication method for ad hoc networks described in the first aspect of this invention.

[0044] Figure 4 This is a structural diagram of an electronic device according to an embodiment of the present invention, such as... Figure 4 As shown, the electronic device includes a processor, memory, communication interface, display screen, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, Near Field Communication (NFC), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input device can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the device's casing, or an external keyboard, touchpad, or mouse.

[0045] Those skilled in the art will understand that Figure 4 The structure shown is merely a structural diagram of the part related to the technical solution of this disclosure and does not constitute a limitation on the electronic device to which the solution of this application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0046] A fourth aspect of this invention discloses a computer-readable storage medium. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the environmental feature-based intrinsically secure communication method for ad hoc networks described in the first aspect of this invention.

[0047] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein, and such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intrinsically secure communication in ad hoc networks based on environmental characteristics, characterized in that, The method includes: Step S1: Collect electromagnetic signals within a preset range from the network communication nodes, extract electromagnetic spectrum features from the electromagnetic signals, and then quantize the electromagnetic spectrum features based on the quantization function that maximizes entropy to generate an initial dynamic key related to the spatiotemporal characteristics of the environment. Among them, the electromagnetic spectrum characteristics include the channel fading coefficient H, the noise power spectral density N0, and the signal power spectral density P(f); Step S2: Real-time detection of the rate of change of the channel fading coefficient H. When the rate of change of the channel fading coefficient H is greater than a preset threshold, the initial dynamic key is adjusted using an interpolation algorithm to obtain the corrected dynamic key. Step S3: Encrypt the data D to be transmitted using the modified dynamic key, and achieve secure data transmission through orthogonal frequency division multiplexing modulation. During data transmission, an authentication routing protocol is used to protect the data transmission.

2. The intrinsically secure communication method for self-organizing networks according to claim 1, characterized in that, In step S1, the electromagnetic spectrum features are quantized based on the quantization function that maximizes entropy to generate an initial dynamic key related to the spatiotemporal characteristics of the environment. Specifically, this includes: The signal-to-noise ratio (SNR) is calculated based on the extracted channel fading coefficient H, noise power spectral density N0, and signal power spectral density P(f). Then, an initial dynamic key related to the spatiotemporal characteristics of the environment is generated using a quantization function based on entropy maximization. The formula for the quantization function based on entropy maximization is as follows: ； Where Q(f) represents the function value of the quantization function based on entropy maximization; floor represents flooring down; The initial dynamic key is obtained by converting the function value of the quantization function based on entropy maximization into binary.

3. The intrinsically secure communication method for self-organizing networks according to claim 1, characterized in that, In step S2, the next channel fading coefficient is predicted by Lagrange interpolation based on the three newly extracted channel fading coefficients, so as to adjust the initial dynamic key and obtain the corrected dynamic key.

4. The intrinsically secure communication method for self-organizing networks according to claim 1, characterized in that, In step S3, a chaotic sequence is generated using the Logistic mapping function, and then XORed bit by bit with the data to be transmitted D to obtain the ciphertext, thus achieving encryption.

5. The intrinsically secure communication method for self-organizing networks according to claim 1, characterized in that, In step S3, the subcarrier spacing of the orthogonal frequency division multiplexing modulation is dynamically adjusted according to the channel fading coefficient.

6. The method for intrinsically secure communication in ad hoc networks according to claim 1, characterized in that, In step S3, when using an authentication routing protocol to protect data transmission, a digital signature is generated using the modified dynamic key.

7. An intrinsically secure communication system for self-organizing networks based on environmental characteristics, characterized in that, include: The spectrum sensing module is configured to collect electromagnetic signals within a preset range from the network communication nodes and extract electromagnetic spectrum features from the electromagnetic signals; wherein, the electromagnetic spectrum features include the channel fading coefficient H, the noise power spectral density N0, and the signal power spectral density P(f). The dynamic key generation module is configured to quantize electromagnetic spectrum features based on an entropy-maximizing quantization function to generate an initial dynamic key related to the spatiotemporal characteristics of the environment. The intrusion detection and key adjustment module is configured to detect the rate of change of the channel fading coefficient H in real time, and when the rate of change of the channel fading coefficient H is greater than a preset threshold, use an interpolation algorithm to adjust the initial dynamic key to obtain a corrected dynamic key. The physical layer encryption module is configured to encrypt the data D to be transmitted using a modified dynamic key and to achieve secure data transmission through orthogonal frequency division multiplexing modulation. The network layer security module is configured to protect data transmission using an authenticated routing protocol to build an intrinsic security architecture across the physical layer and the network layer.

8. The system according to claim 7, characterized in that, The dynamic key generation module is configured as follows: The signal-to-noise ratio (SNR) is calculated based on the extracted channel fading coefficient H, noise power spectral density N0, and signal power spectral density P(f). Then, an initial dynamic key related to the spatiotemporal characteristics of the environment is generated using a quantization function based on entropy maximization. The formula for the quantization function based on entropy maximization is as follows: ； Where Q(f) represents the function value of the quantization function based on entropy maximization; floor represents flooring down; The initial dynamic key is obtained by converting the function value of the quantization function based on entropy maximization into binary.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of the self-organizing network intrinsically secure communication method based on environmental characteristics as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the self-organizing network intrinsically secure communication method based on environmental characteristics as described in any one of claims 1 to 6.

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