A SYSTEM FOR ENHANCED SECURITY OF SMART HOME GATEWAYS BY COMBINING Q-LEARNING ALGORITHM WITH BLOCKCHAIN TECHNOLOGY

Abstract

The present invention relates to a system designed to enhance security of smart home gateways by combining Q-Learning Algorithm with Blockchain Technology. The system comprises the combination of Q-learning algorithm with Blockchain technology, and Cipolla’s extended Euclidean distance algorithm for efficient key management. The Internet of Things (IoT) has enabled conventional homes to become smart homes (SH). A unified gateway connects all Internet-enabled devices, which must be protected with strong security measures due to the crucial relevance of safety. To overcome these issues, this invnetion recommends employing Blockchain Technology (BC) to protect the privacy and security of smart homes. A solid Q-learning technique with Blockchain support is proposed for securing SH gateways and protecting data. The testing results show that the proposed framework is extremely secure against vulnerabilities, with improved throughput and a better Packet Delivery Ratio (PDR). The results indicate that the proposed approach outperforms previous algorithms in both Packet Delivery Ratio (PDR) and throughput, demonstrating its superior efficiency and reliability.

Specification

Description:Field of the Invention
The present invention relates to the technical field of cybersecurity and smart home technology, and more particular to a system designed to enhance security of smart home gateways by combining Q-Learning Algorithm with Blockchain Technology.
Background of the Invention
The problem addressed by the invention is the security of smart home gateways. Smart homes rely on IoT devices connected through a central gateway, making them vulnerable to cyberattacks. This research proposes a Blockchain-enabled security mechanism to prevent data forgery and enhance the security of IoT-based smart homes. Unlike previous solutions that use highly centralized frameworks, this approach employs a decentralized method using Blockchain technology, offering better security and scalability.
1. Minoli, Daniel. "Positioning of block-chain mechanisms in IOT-powered smart home systems: A gateway-based approach." Internet of Things 10, 100147 (2020). This study discusses the use of blockchain to enhance the security of IoT systems, emphasizing gateway-based approaches.
2. Dhoot, Anshita, et al. "Enhanced light-weight and secure session key establishment protocol for smart home inhabitants." Journal of Discrete Mathematical Sciences and Cryptography 24, no. 5, 1327-1335 (2021). This paper proposes a secure session key establishment protocol for smart homes, focusing on lightweight cryptographic methods.
3. W. E., et al. "Homo-morphic consortium blockchain for smart home system sensitive data privacy preserving." IEEE Access 7, 62058-62070 (2019). The authors introduce a homomorphic encryption-based blockchain system to preserve the privacy of sensitive data in smart homes.
4. Malik, Vinita, and Sukhdip Singh. "Security risk management in Io T environment." Journal of Discrete Mathematical Sciences and Cryptography 22, no. 4, 697-709 (2019). This research highlights various security risks in IoT environments and proposes management strategies to mitigate these risks.
5. Qashlan, Amjad, et al. "Privacy preserving mechanism in smart home using blockchain." IEEE Access , 103651-103669 (2021). This study presents a blockchain-based mechanism to ensure privacy in smart homes, addressing the challenges of data integrity and security.
The proposed solution uses a combination of Q-learning algorithm with Blockchain technology, which is distinct from other methods that typically rely on highly centralized frameworks. This unique combination offers improved security and efficiency.
The invention addresses the security of smart home gateways. Smart homes rely on IoT devices connected through a central gateway, making them vulnerable to cyberattacks. This system proposes a Blockchain-enabled security mechanism to prevent data forgery and enhance the security of IoT-based smart homes. Unlike previous solutions that use highly centralized frameworks, this approach employs a decentralized method using Blockchain technology, offering better security and scalability.
Drawings
Figure 1: Proposed framework for secure smart home gateway
Figure 2: Graphical analysis of proposed QLABS based on (a) Throughput (b) PDR
Detailed Description of the Invention
The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.
In any embodiment described herein, the open-ended terms "comprising," "comprises," and the like (which are synonymous with "including," "having" and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like. As used herein, the singular forms "a", "an", and "the" designate both the singular and the plural, unless expressly stated to designate the singular only.
The present invention addresses the security of smart home gateways. Smart homes rely on IoT devices connected through a central gateway, making them vulnerable to cyberattacks. The system comprises the combination of Q-learning algorithm with Blockchain technology, and Cipolla's extended Euclidean distance algorithm for efficient key management. The Internet of Things (IoT) has enabled conventional homes to become smart homes (SH). The method of the present system comprises the following steps:
Step 1: User Registration: Registering user details into the smart home gateway with encrypted data using Cipolla's extended Euclidean distance algorithm.
Step 2: Key Setup and Generation: Utilizing the Cipolla's algorithm for efficient key management and ensuring secure data transmission.
Step 3: Data Encryption and Decryption: Encrypting user data and securely storing it in the gateway.
Step 4: Gateway Data Management: Managing data transmission and records integrity using Blockchain technology.
Step 5: Performance Evaluation: Validating the proposed protocol against existing techniques based on metrics such as throughput, memory usage, PDR, and execution time.
Wherein the proposed QLABS protocol was implemented and tested using a JAVA platform.
The present secure smart home gateway provides:
1. A throughput value ranging between 346bps-332bps for 100-500 sensor nodes.
2. A Packet Delivery Ratio (PDR) value ranging between 83.20%-89.98%.
3. Improved security against vulnerabilities and efficient data management compared to existing techniques.
The present invention offers several technical breakthroughs:
1. Enhanced security against data forgery and cyberattacks using Blockchain technology.
2. Improved throughput and Packet Delivery Ratio (PDR) compared to existing methods.
3. Secure user data management using Cipolla's extended Euclidean distance algorithm combined with Blockchain.
4. Efficient key management performance with reduced complexity.
5. Higher availability and security for smart home users.

, Claims:1. A system designed to enhance security of smart home gateways by combining Q-Learning Algorithm with Blockchain Technology, comprises the combination of Q-learning algorithm with Blockchain technology, and Cipolla's extended Euclidean distance algorithm for efficient key management.
2. The system designed to enhance security of smart home gateways by combining Q-Learning Algorithm with Blockchain Technology as claimed in the claim 1, wherein the method of the following system comprises the following steps:
• Step 1: User Registration: Registering user details into the smart home gateway with encrypted data using Cipolla's extended Euclidean distance algorithm;
• Step 2: Key Setup and Generation: Utilizing the Cipolla's algorithm for efficient key management and ensuring secure data transmission;
• Step 3: Data Encryption and Decryption: Encrypting user data and securely storing it in the gateway;
• Step 4: Gateway Data Management: Managing data transmission and records integrity using Blockchain technology; and
• Step 5: Performance Evaluation: Validating the proposed protocol against existing techniques based on metrics such as throughput, memory usage, PDR, and execution time.
3. The system designed to enhance security of smart home gateways by combining Q-Learning Algorithm with Blockchain Technology as claimed in the claim 1, wherein the proposed QLABS protocol was implemented and tested using a JAVA platform.
4. The system designed to enhance security of smart home gateways by combining Q-Learning Algorithm with Blockchain Technology as claimed in the claim 1, wherein the secure smart home gateway provides:
• a throughput value ranging between 346bps-332bps for 100-500 sensor nodes;
• a Packet Delivery Ratio (PDR) value ranging between 83.20%-89.98%; and
• improve security against vulnerabilities and efficient data management compared to existing techniques.

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