System for secure IoT device authentication and data transmission

Abstract

A system for secure authentication and data transmission of IoT devices, consisting of: an authentication module configured to establish device identity through a multi-stage verification process that includes unique device identifiers and a cryptographic challenge-response protocol; a secure key management unit that generates, stores and manages asymmetric cryptographic keys for IoT devices, wherein the key management unit includes a hardware-based secure element to protect private keys and supports key rotation based on predefined security policies; a communication module that can establish encrypted communication channels using the generated cryptographic keys, wherein the communication module supports the verification of data integrity by embedding digital signatures in transmitted data packets; a monitoring and anomaly detection unit configured to continuously analyze incoming and outgoing data streams for patterns indicating unauthorized access or transmission, and to notify a central control system upon detection of anomalies; and a central control system consisting of a processing unit configured to manage device authentication requests, distribute encryption keys, and log all system transactions in a secure, immutable ledger to enable auditability and tamper detection.

Description

Field of the invention

[0001] The present invention relates to Internet of Things (IoT) security, and more particularly to systems and methods that ensure secure authentication and data exchange in IoT configurations. It helps protect IoT devices from access, authentication, and data breaches by using an adaptive security method adapted to the unique constraints of the IoT. Background of the invention

[0002] IoT devices are becoming increasingly popular in all sorts of areas, from healthcare and transportation to home automation. This proliferation is a major concern due to the security concerns it poses, particularly related to device authentication and data transmission. However, these devices are generally not robust in terms of security, as most lack sufficient computing power or resources to implement a proper security protocol. IoT devices often operate in heterogeneous and sometimes isolated environments. Securing communication channels is necessary to prevent information disclosure and unauthorized use of these IoT-related applications.Given the resource-intensive nature and inability to provide real-time protection tailored to IoT environments, traditional security mechanisms may not be sufficient. Overcoming these vulnerabilities requires a system that securely authenticates IoT devices to exchange information and enables secure interactions between different nodes in an IoT network.

[0003] Industries around the world have been rapidly disrupted by one of the most important megatrends, the Internet of Things (IoT), which has recently evolved faster than humans can. Connected devices perform tasks autonomously or semi-autonomously, as was the case until today in 2020, but recent developments show that it is now becoming competitive, with extensive deployments so far in unique areas such as process automation categories like agriculture and battery-based plants, e.g., LCIs (Integer Cycles). Hospitals remotely check patient health, smart buildings automatically achieve optimal room temperatures, and industrial facilities are optimized for material flow.New Security Challenges IoT devices can now easily communicate with each other, but this interconnectivity comes at a price, as they have limited processing power and are deployed en masse in almost every aspect of the physical infrastructure. Despite all these weaknesses, several security solutions have emerged to make IoT networks more secure, both in terms of secure device authentication and secure data transmission. Unfortunately, these solutions have their own shortcomings and challenges that render them ineffective in the context of resource-constrained IoT devices.

[0004] Public Key Infrastructure (PKI) for Authentication: A common solution for securing IoT networks is public key infrastructure. PKI uses a freely distributed public key and a private key securely stored on the device. When an IoT device attempts to connect to the network, the network authenticates that this is the correct public key provided by the IoT device's private keys. This is one reason why PKI is so widely adopted, as it provides a viable way to authenticate devices and secure communications. However, PKI faces significant hurdles when it comes to IoT systems. The cryptographic operations that are an essential component of PKI not only overwhelm the primarily limited processing power and power of most IoT devices but also consume a significant portion of these limited resources.PKI always uses a central authority that provides keys for communication and message signing, creating a single point of failure. If the certificate authority is compromised, it can compromise the security of the entire IoT network ecosystem and allow unauthorized users to access data / information that shouldn't be available without proper authentication.

[0005] Symmetric key encryption is another method commonly used for IoT security. To ensure the integrity and confidentiality of your data, it's important to encrypt all sensitive fields with a single key (never share this key), so that even if hackers breach these tables, they'll only receive garbage. This method involves using the same cryptographic keys for both encryption and decryption. Here, PHP kms sits in blocks. One of the advantages of this symmetric key encryption in an IoT environment is that it requires less processing power, both compared to PKI and during implementation. However, symmetric key encryption can have significant limitations, primarily related to key management and distribution.Nevertheless, distributing and securely storing a single shared key or unique keys for each IoT device on the network is risky. However, symmetric key encryption doesn't provide simple, secure device authentication because its primary focus is data encryption. This requires adding additional protocols to symmetric encryption to allow the device to securely authenticate, and this can ultimately complicate your security architecture.

[0006] Token-based authentication mechanisms (e.g., O Auth) are used by some IoT systems to secure access to devices and data. In a token-based model, an IoT device must first authenticate with a central server to obtain its own exclusive access token. The token is used to authenticate the device during subsequent interactions. This approach allows you to more easily manage device authentication and control access to your APIs using tokens. However, token systems also have disadvantages. Token-based encryption: In addition, the process relies entirely on centralized servers that issue and validate tokens. This also has interesting performance implications (as it creates a single point of failure).Furthermore, the token itself is vulnerable to interception and replay attacks, where a rogue agent could intercept an authentic token and gain unauthorized access. Implementing their secure storage in resource-constrained IoT devices is also challenging, as many of these devices lack hardware security modules to securely protect the tokens.

[0007] However, there are lightweight protocols such as DTLS and CoAP that were developed specifically for the IoT. These protocols are designed to consume as few computational resources as possible and to secure data transmission through encryption. DTLS, for example, offers comparable security measures to Transport Layer Security (TLS) but is well-suited for use over the User Datagram Protocol, making it ideal for high-throughput, low-latency IoT scenarios. Another lightweight protocol that has emerged is the Constrained Application Protocol (CoAP), which can be considered a cousin of HTTP and uses simple request / response messages for IoT devices communicating with servers. However, these protocols are not perfect and have their drawbacks.DTLS, for example, still requires significant CPU time during an initial handshake, as well as key exchange transactions, which may be too resource-intensive even for operational IoT devices. The lightweight CoAP lacks some of TLS's advanced security features, including native mutual authentication. Finally, DTLS and CoAP are concerned only with securing data in transit and do not address the part of IoT security that concerns device authentication at all.

[0008] Similarly, biometric authentication is a new process where the IoT device uses some physical and behavioral characteristics such as fingerprints or facial recognition to authenticate a user or other devices. Since biometrics are something that is tied to you, it is inherently more secure than a password or PIN. On the other hand, biometric authentication systems are expensive to implement and require special hardware such as fingerprint sensors or cameras, which is not practical for most IoT devices due to cost and space constraints. A related problem is that, unlike passwords and hardware-based 2FA methods (e.g.,Biometric authentication (sent via an SMS text message to a user's mobile phone, which adds another layer of security) cannot be easily changed or reset in the event of a compromise—making it a lurking long-term risk if encryption policies for storage are poor or nonexistent. Furthermore, biometric authentication also raises privacy concerns, as sensitive personal data must be stored in a secure vault that can be misused if not kept secure.

[0009] Blockchain technology is another proposed decentralized solution for IoT security. With a blockchain-based system, each IoT device can register and authenticate itself via a distributed ledger without the need for a central authority. This could potentially be ensured by ensuring no single point of failure and maintaining an immutable record of all operations in the system. However, the applications of blockchains in the IoT context are limited for several reasons. Cryptocurrencies are at the core, and by design, blockchain technology ensures that every device must participate in confirming network consensus (which requires performing complex cryptographic operations that consume computational power), followed by transmission as packets over the bandwidth.On the other hand, these requirements impose quite high costs on IoT devices with limited resources, making blockchain solutions neither truly scalable nor feasible. Furthermore, the immutable nature of blockchain records raises data privacy concerns: Once an entity is recorded on a blockchain, it remains there indefinitely; you cannot modify or remove information, which would pose problems with existing data protection regulations (e.g., GDPR).

[0010] AI and ML are also being combined with IoT security to make anomaly detection more efficient and warn of threats based on device behavior patterns. These AI-based systems can contribute to increased security by detecting ongoing anomalies and enabling autonomous response to potential threats. However, AI and ML-based security solutions also have their drawbacks. Computer vision models for localization trained on large, powerful servers cannot be used within an IoT device. Furthermore, regarding CM tools, these models require frequent updates to remain effective, and their updates typically involve large data streams, which can place a potential strain on the network or storage.Integrating AI on IoT devices also requires edge computing capability, which can be expensive and complex for large distributed networks with a variety of Internet of Things (IoT) resources. Summary of the invention

[0011] This disclosure proposes a system for secure authentication and data transfer from IoT devices, designed as a device-specific solution and operating within the unique constraints of power / memory / CPU limitations traditionally associated with many higher-level security standards. The solution comprises four main components, all interconnected: an authentication unit, a cryptographic data transport module, real-time monitoring with included anomaly detection tools, and a secure communication interface. All of these components together provide a secure and seamless connection between IoT devices and central servers or networks, ensuring that data integrity, security, and confidentiality are maintained during the communication phase.

[0012] The authentication module aims to provide one of the most secure, lightweight, multi-factor authentication mechanisms available, allowing IoT devices to identify this specific request from a legitimate source before claiming access to their public-facing network. Cryptographic data transmission: All communication between devices and servers is encrypted using cryptographically secure mechanisms that work well in resource-constrained environments. Meanwhile, the real-time monitoring and anomaly detection section scans for suspicious activity and immediately alerts to suspicious movements or devices by isolating them. Secure communication interface: Manages the data flow between IoT devices and the network and is equipped with secure and lightweight protocols specifically tailored for IoT apps.

[0013] The main objective of the invention is to provide a robust system for secure authentication and data transmission, specifically tailored to IoT devices and addressing their limitations, such as low power consumption combined with limited resources. This system is designed to securely and quickly authenticate IoT devices and block external access to the network using lightweight multi-factor authentication support. Another objective of the invention is to include a system for preventing hacker attacks and data leakage by encrypting all data transmissions between the IoT devices themselves and central servers, preventing transmitted data from being intercepted or tampered with.The system achieves this by using adaptive cryptographic techniques, adapting the strength of encryption to the capabilities of a device while securing as much data as possible in transit and at rest without introducing excessive latency.

[0014] Furthermore, this invention was developed to increase the security of IoT networks by adding real-time monitoring and anomaly detection functionality. Using behavioral analysis, abnormal activity of a device that could indicate potential threats can be identified, and preventative measures can be taken. Furthermore, secure communication between IoT devices and servers is to be enabled using a communication interface optimized for the IoT environment that supports the appropriate protocols. An over-the-air update mechanism is also enabled by the secure communication interface, and firmware updates are securely delivered only to authenticated devices.In summary, this innovation is a first realization of providing complete IoT network security, including configuration and operation, which takes care of the end user's manual device authentication and also includes real-time monitoring of data transmission and secure communication with the drawbacks of Internet of Things technology. SHORT DESCRIPTION OF THE FIGURE

[0015] These and other features, aspects, and advantages of the present invention will become more readily understood when the following detailed description is read in conjunction with the accompanying drawings, in which like characters represent like parts throughout. Fig. Figure 1 shows a block diagram of a system for secure IoT device authentication and data transmission.

[0016] In Fig.A block diagram of a system for secure authentication and data transmission of IoT devices is shown. The system 100 includes: an authentication module 102 configured to determine device identity through a multi-step verification process using unique device identifiers and a cryptographic challenge-response protocol; a secure key management unit 104 that generates, stores, and manages asymmetric cryptographic keys for IoT devices, wherein the key management unit includes a hardware-based secure element for protecting private keys and supports key rotation based on predefined security policies;a communications module 106 capable of establishing encrypted communications channels using the generated cryptographic keys, the communications module supporting data integrity verification by embedding digital signatures in transmitted data packets; a monitoring and anomaly detection unit 108 configured to continuously analyze incoming and outgoing data streams for patterns indicative of unauthorized access or transmission and, upon detection of anomalies, alert a central control system; and a central control system 110 comprising a processing unit configured to manage device authentication requests, distribute encryption keys, and log all system transactions in a secure, immutable ledger to enable auditability and tamper evidence.

[0017] In one embodiment, the authentication module 102 is further configured to incorporate biometric data from a connected sensor for user-level authentication, where the sensor generates a biometric signature in real time that is validated against a stored template within a secure enclave prior to access authorization.

[0018] In one embodiment, the secure key management unit 104 is further configured to implement an encrypted key distribution protocol that splits key components and transmits them over multiple independent channels, thereby preventing the interception of the entire key at a single point.

[0019] In one embodiment, the communication module 106 includes a two-layer encryption mechanism that dynamically switches between symmetric and asymmetric encryption based on the sensitivity of the transmitted data, so that highly sensitive data utilizes an additional layer of encryption over an established secure channel.

[0020] In one embodiment, the monitoring and anomaly detection unit 108 is configured with a behavior-based analytics model that evaluates device-specific patterns over time and correlates multiple data points, such as access frequency, access time, and data transfer volume, to identify deviations that exceed predetermined security thresholds.

[0021] In one embodiment, the central control system 110 also includes a distributed ledger framework in which transaction records are encrypted and linked across multiple nodes in a blockchain network to ensure data integrity and prevent unauthorized modification of the system's authentication and transmission protocols.

[0022] In one embodiment, the communication module 106 is additionally configured with a context-aware adaptive security protocol such that the module adapts its encryption mechanism and key lengths based on environmental conditions and threat intelligence in real time, thereby improving the resilience of the data transmission to emerging threats.

[0023] The system is powered by an authentication module that uses a multi-step verification process to authenticate device identity. This mechanism uses unique device identifiers and a challenge-response protocol that ensures perfect authentication of each IoT device before it is allowed to enter the network. The challenge-response protocol works by generating a random cryptographic challenge that the device must correctly answer using its private key, preventing unwanted devices from accessing the network. The module also enables the integration of biometric data with the sensors connected to it, enabling user-level authentication.Real-time biometric signatures are compared against stored templates in a dedicated secure enclave, enhancing device security through trusted hardware-based authentication.

[0024] A common secure key management unit generates, stores, and manages cryptographic keys critical to the secure operation of the system. Support for asymmetric key encryption is a hardware-based security element that controls attempts to access private keys. As an additional layer of security for encrypted keys, the system includes fragmentation and transmission of key components across multiple independent channels using a separately developed secure key distribution protocol. This process significantly reduces the risk of interception, as no single channel has access to the entire key. The system handles key rotation according to predefined security policies. Keys are updated regularly to anticipate potential vulnerabilities.

[0025] Based on the sensitivity of the transmitted data, this module uses a two-layer encryption technique that operates with cryptographic keys from a secure key management unit. For highly sensitive data, the module also uses redundant encryption with a secure mix of symmetric and asymmetric encryption layers. To ensure data integrity, digital signatures are inserted into each packet, allowing the recipient to verify that it has not been altered during transmission. The system adapts to respond quickly to emerging threats, making the data transmission process more robust.

[0026] This part of the system monitors data streams and looks for anomalies that could indicate a security breach so that it can be detected as quickly as possible. The model used here is behavior-based analysis and evaluates patterns on the devices (number of connections, connection time, bytes processed). These data points can then be correlated over time to highlight deviations from normal behavior that may indicate a security breach. If an anomaly is detected, the system immediately informs a central controller, which can implement countermeasures to prevent any harmful risk.

[0027] A centralized control system is at the heart of both processes: authentication and data transfer. The solution includes a core unit that manages authentication requests, distributes encryption keys, and securely logs all transactions. The logs are stored in an immutable, tamper-proof ledger that can only be appended to ensure auditability. For additional data immutability, the centralized control system is powered by a distributed ledger architecture in which transaction entries are secure and interconnected across various nodes in the blockchain network. This decentralized method means that any attempt to alter the authentication and transfer protocols can be easily detected, providing strong protection against unauthorized data modification.

[0028] Secure authentication and data flow from IoT devices for home use are ensured through a variety of cryptographic tools, adaptive encryption strategies, and state-of-the-art anomaly detection, forming a sound architecture that enables the connected location layers. Through the collaboration of all these tools, the system has a multi-layered security approach that protects against unauthorized remote access or data leaks and secures IoT devices and transmitted data.

[0029] It is designed to operate between IoT devices and central servers, providing a simplified authentication service and secure data transmission. This system is an authentication module that controls the first line of security. This module uses a two-factor authentication technique that uses device-specific identification and crypto keys encrypted for each specific device. When an IoT device is first activated, it sends a unique identifier to the central server, and this identifier is recorded in an encrypted database. This identifier, along with the device's unique hardware signature, serves as the basis for all subsequent authentication requests. During each connection attempt, the device must disclose its true hardware signature and encryption key.These values ​​are checked by the server against the pre-stored identifications and are only valid if they are correct.

[0030] This activates the system's Cryptographic Data Transmission Unit, which ensures that all data exchanged back and forth with the server is encrypted during this power-on phase. The module uses lightweight encryption protocols suitable for low-power IoT environments, such as Elliptic Curve Cryptography (ECC). ECC is operationally significantly more efficient than RSA-based security because it requires less computing power, which is very beneficial for IoT devices with low-power processors. The system also offers adaptive encryption levels, which adjust the strength of the cryptography depending on device performance and data sensitivity, thus allowing a trade-off between security level and resource consumption.

[0031] In addition, the system also includes a real-time monitoring and anomaly detection unit, which is responsible for the continuous detection of all active IoT devices. This layer uses machine learning mechanisms trained to determine the behavioral baselines for each device and compares the received real-time data with recorded historical patterns to identify potential security issues. For example, if an IoT device transmits data at irregular intervals or attempts to access network segments it is not authorized to enter, the anomalous activity is noted by the system. Once the device is flagged, it is completely disconnected from the network to prevent any possibility of contagion. These incidents are, in turn, reported to the central server, which helps administrators track the incidents and take action as needed.

[0032] Third, the secure communication interface establishes a structure through which data can be exchanged between IoT devices, which are authenticated at their end, and the central server, using secure electronic connection methods such as TLS or DTLS. These protocols were developed for IoT environments and also make data transmission secure in a lightweight protocol. This is possible thanks to secure over-the-air (OTA) updates, which allow you to securely send firmware updates to IoT devices. However, OTA is secured by an authentication module, so only verified devices can request updates and then deploy them over encrypted channels. In addition to protecting against unauthorized access, this feature also helps keep the device secure if the firmware does not pose a potential threat.

[0033] The bottom line is that the invention addresses all security requirements that have not been addressed in the IoT to date, such as multi-factor authentication (MFA), adaptive encryption, real-time anomaly detection, and IT integration. This should provide a secure foundation on which IoT devices can then function safely in diverse environments, taking into account the protection of both the devices and the data they generate and share.

[0034] This invention relates to cybersecurity systems and methods, particularly to aspects that secure device authentication and encrypted data transmission between the nodes of an IoT network. By integrating cryptographic key management, secure communication protocols, and anomaly detection, unauthorized access to IoT devices or data transmissions is blocked. This invention applies to IoT applications in a variety of industries, such as smart home systems, industrial automation, and connected healthcare, where data exchange between devices must be secured and the network should be protected from potential security attacks. REFERENCES 100 A system for secure authentication and data transmission of IoT devices. 102 Authentication module 104 Secure Key Management Unit 106 Communication module 108 Monitoring and Anomaly Detection Unit 110 Central Control System

Claims

[1] A system for secure authentication and data transmission of IoT devices, consisting of: an authentication module configured to determine device identity through a multi-step verification process that includes unique device identifiers and a cryptographic challenge-response protocol; a secure key management unit that generates, stores, and manages asymmetric cryptographic keys for IoT devices, wherein the key management unit includes a hardware-based secure element for protecting private keys and supports key rotation based on predefined security policies; a communication module capable of establishing encrypted communication channels using the generated cryptographic keys, wherein the communication module supports data integrity verification by embedding digital signatures in transmitted data packets; a monitoring and anomaly detection unit configured to continuously analyze incoming and outgoing data streams for patterns indicating unauthorized access or transmission and to notify a central control system upon detection of anomalies; and a central control system consisting of a processing unit configured to manage device authentication requests, distribute encryption keys, and log all system transactions in a secure, immutable ledger to enable auditability and tamper evidence. [2] The system of claim 1, wherein the authentication module is further configured to incorporate biometric data from a connected sensor for user-level authentication, the sensor generating a real-time biometric signature that is validated against a stored template within a secure enclave prior to access authorization. [3] The system of claim 1, wherein the secure key management unit is further configured to implement an encrypted key distribution protocol that splits key components and transmits them over multiple independent channels, thereby preventing interception of the entire key at a single point. [4] The system of claim 1, wherein the communication module comprises a two-layer encryption mechanism that dynamically switches between symmetric and asymmetric encryption based on the sensitivity of the transmitted data, such that highly sensitive data utilizes an additional layer of encryption over an established secure channel. [5] The system of claim 1, wherein the monitoring and anomaly detection unit is configured with a behavior-based analysis model that evaluates device-specific patterns over time and correlates multiple data points such as access frequency, access time, and data transfer volume to identify deviations that exceed predetermined security thresholds. [6] The system of claim 1, wherein the central control system further comprises a distributed ledger framework wherein transaction records are encrypted and linked across multiple nodes in a blockchain network to ensure data integrity and prevent unauthorized modification of the system's authentication and transmission protocols. [7] The system of claim 1, wherein the communication module is further configured with a context-aware adaptive security protocol such that the module adapts its encryption mechanism and key lengths based on environmental conditions and threat information in real time.

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