Chip Identification Device for IoT Network Security
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Solution Overview
Problem
The existing cybersecurity technologies are inadequate for managing and securing the vast number of nodes in IoT/IoE systems, as they rely on central control and software-based management, making them vulnerable to attacks where a single compromised identification code can lead to the hijacking of critical systems like auto-driving cars or air traffic control, and existing methods fail to prevent remote-control attacks.
Innovation Solution
A method involving a network unit with a stem server and peripheral devices, where each device has a chip identification device that generates a unique output signal based on physical randomness, stored in advance on the stem server, allowing for local management and validation of peripheral devices without relying on software-based identification codes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If software-based identification codes are used for chip authentication, then ease of operation and device complexity are reduced, but security reliability deteriorates due to vulnerability to remote attacks and code manipulation
Solution Approach 1:
The patent replaces software-based identification systems with a physical hardware-based identification system. The chip identification device uses physical characteristics of the chip itself (such as manufacturing variations, electrical properties, or physical structures) to generate identification codes, thereby substituting the vulnerable software layer with a physically embedded authentication mechanism that cannot be remotely manipulated or hacked.
Solution Approach 2:
The chip identification device performs self-authentication using its own physical characteristics. The chip generates identification codes based on its inherent physical properties without requiring external software validation, enabling the hardware to serve its own authentication needs and reducing dependency on vulnerable software-based verification systems.
2Productivity
If central control management is implemented for trillions of IoT nodes, then coordination and control are improved, but scalability and loss of information deteriorate due to insufficient computer resources to manage such vast networks
Solution Approach 1:
The patent divides the centralized network management function into distributed autonomous units. Each chip is equipped with its own identification device that operates independently, segmenting the management burden from a central controller to individual nodes. This allows trillions of devices to manage themselves without overwhelming central resources, preventing information loss in the management hierarchy.
Solution Approach 2:
Each chip identification device autonomously manages its own authentication and identification without requiring central coordination. The devices self-verify using their physical characteristics, enabling the network to scale to trillions of nodes without proportionally increasing central management complexity or information processing requirements.
3Reliability
If physical randomness is used for chip identification, then security reliability is improved by preventing code manipulation, but manufacturing precision and device complexity increase due to hardware-based random number generation
Solution Approach 1:
The patent changes the basis of identification from software-generated codes to physical parameters inherent to the chip itself. By using manufacturing variations, electrical characteristics, or physical structures that naturally occur during chip production, the system obtains unique identification properties without requiring additional precision manufacturing steps or complex hardware random number generators.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances security by preventing the manipulation of chip identification codes, reducing the risk of remote attacks and ensuring the integrity of critical systems by using physical randomness for authentication, thereby improving the resilience of IoT/IoE networks against unauthorized access.
Implementation Method 1
each of the plurality of registration codes is generated in response to a respective one of the at least one passcode using physical randomness of a respective one of the plurality of peripheral devices in correspondence to the passcode
Implementation Method 2
Each of the plurality of identification cells electrically outputs at least a first value and a second value in response to a predetermined electrical input, and includes at least two terminals. If an electric current flowing between the at least two terminals with regard to a read voltage of the predetermined electrical input has a higher value than a value of a first threshold current, then the first value is regarded as being output.
Data Source
AI summary
Technology prevents the peripheral devices from being taken over, to suppress the remote-attack on the network of electronic devices by applying the physical chip identification devices to the network. To realize this, a plurality of electronic appliances composing the network is divided into peripheral devices and stem servers that manage the registration information of the peripheral devices. The stem servers may be under the central control, whereas the peripheral devices hold the physical chip identification devices. By managing the peripheral devices in the level of a device like this, the security of the entire network is effectively improved.