The contemporary Local Area Network (LAN) is the digital circulatory system of the modern enterprise, a vital yet perilously vulnerable ecosystem. Traditional security paradigms, built upon centralized authority models – firewalls, intrusion detection systems, and privileged administrators – increasingly resemble medieval castles in an age of artillery. They present a brittle single point of failure: compromise the center, and the entire kingdom falls. This paper proposes a radical architectural shift, envisioning the LAN not as a fortress to be defended, but as a consensus-driven organism to be verified. We introduce a novel framework for LAN security leveraging the foundational principles of blockchain technology: decentralization, immutability, and cryptographic auditability. Our methodology involves the implementation of a private, permissioned blockchain overlay atop the existing physical network infrastructure. In this model, every network device – from endpoints and servers to switches and routers – acts as a node participating in a continuous, low-latency consensus mechanism. Core network functions – device authentication, address allocation via DHCP – and access control policy enforcement – are transformed into smart contracts. These self-executing contracts autonomously validate requests against a distributed ledger, ensuring that only authorized, cryptographically-verified entities can join or interact within the network. This eradicates the threat of spoofing, rogue device infiltration, and malicious lateral movement by making every action transparent, contestable, and irrevocably logged. By dismantling the centralized chokepoints of conventional security, we architect a LAN that is not merely protected, but inherently trustworthy by design.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Govea J, Gaibor-Naranjo W, Villegas-Ch W. Securing critical infrastructure with blockchain technology: An approach to cyber-resilience. Computers. 2024 May 15;13(5):122.
2. Saleh AM. Blockchain for secure and decentralized artificial intelligence in cybersecurity: A comprehensive review. Blockchain Res Appl. 2024 Sep 1;5(3):100193.
3. Hanumantharaju R, Shreenath KN, Sowmya BJ, Supreeth S, Shruthi G, Rohith S, et al. Blockchain-based machine learning approach for secure and efficient vehicular data monitoring and analysis. Discov Comput. 2025 Nov 7;28(1):259.
4. Almarri S, Aljughaiman A. Blockchain technology for IoT security and trust: A comprehensive SLR. Sustainability. 2024 Nov 21;16(23):10177.
5. Liyakat KK, Halli UM. Nanotechnology in IoT security. J Nanosci Nanoeng Appl. 2022;12(3):11–16.
6. Akansha K. Email security. J Image Process Intell Remote Sens. 2022 Oct;2(6):295–320.
7. Pol RS, Deshmukh AB, Jadhav MM, Liyakat KK, Mulani AO. I-button based physical access authorization and security system. J Algebraic Stat. 2022 May 1;13(3).
8. Kutubuddin K. Blockchain-enabled IoT environment to embedded system: A self-secure firmware model. J Telecommun Stud. 2023;8(1).
9. Chinthamu N, Prasad M, Chinchawade AJ, Liyakat KK, Deepti K, Karukuri M, et al. Self-secure firmware model for blockchain-enabled IoT environment to embedded system. Eur Chem Bull. 2023;12(S3).
10. Gund VD. PIR sensor-based Arduino home security system. J Instrum Innov Sci. 2023;8(3):33–37.
11. Liyakat KK. Implementation of e-mail security with three layers of authentication. J Oper Syst Dev Trends. 2022;9(2):29–35.
12. Torii N, Yamamoto D, Matsumoto T. Evaluation of latch-based physical random number generator implementation on 40 nm ASICs. In: Proceedings of the Trustworthy Embedded Devices Workshop. 1st ed. New York (NY): ACM; 2016. p. 23–30.

The contemporary Local Area Network (LAN) is the digital circulatory system of the modern enterprise, a vital yet perilously vulnerable ecosystem. Traditional security paradigms, built upon centralized authority models – firewalls, intrusion detection systems, and privileged administrators – increasingly resemble medieval castles in an age of artillery. They present a brittle single point of failure: compromise the center, and the entire kingdom falls. This paper proposes a radical architectural shift, envisioning the LAN not as a fortress to be defended, but as a consensus-driven organism to be verified. We introduce a novel framework for LAN security leveraging the foundational principles of blockchain technology: decentralization, immutability, and cryptographic auditability. Our methodology involves the implementation of a private, permissioned blockchain overlay atop the existing physical network infrastructure. In this model, every network device – from endpoints and servers to switches and routers – acts as a node participating in a continuous, low-latency consensus mechanism. Core network functions – device authentication, address allocation via DHCP – and access control policy enforcement – are transformed into smart contracts. These self-executing contracts autonomously validate requests against a distributed ledger, ensuring that only authorized, cryptographically-verified entities can join or interact within the network. This eradicates the threat of spoofing, rogue device infiltration, and malicious lateral movement by making every action transparent, contestable, and irrevocably logged. By dismantling the centralized chokepoints of conventional security, we architect a LAN that is not merely protected, but inherently trustworthy by design.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Govea J, Gaibor-Naranjo W, Villegas-Ch W. Securing critical infrastructure with blockchain technology: An approach to cyber-resilience. Computers. 2024 May 15;13(5):122.
2. Saleh AM. Blockchain for secure and decentralized artificial intelligence in cybersecurity: A comprehensive review. Blockchain Res Appl. 2024 Sep 1;5(3):100193.
3. Hanumantharaju R, Shreenath KN, Sowmya BJ, Supreeth S, Shruthi G, Rohith S, et al. Blockchain-based machine learning approach for secure and efficient vehicular data monitoring and analysis. Discov Comput. 2025 Nov 7;28(1):259.
4. Almarri S, Aljughaiman A. Blockchain technology for IoT security and trust: A comprehensive SLR. Sustainability. 2024 Nov 21;16(23):10177.
5. Liyakat KK, Halli UM. Nanotechnology in IoT security. J Nanosci Nanoeng Appl. 2022;12(3):11–16.
6. Akansha K. Email security. J Image Process Intell Remote Sens. 2022 Oct;2(6):295–320.
7. Pol RS, Deshmukh AB, Jadhav MM, Liyakat KK, Mulani AO. I-button based physical access authorization and security system. J Algebraic Stat. 2022 May 1;13(3).
8. Kutubuddin K. Blockchain-enabled IoT environment to embedded system: A self-secure firmware model. J Telecommun Stud. 2023;8(1).
9. Chinthamu N, Prasad M, Chinchawade AJ, Liyakat KK, Deepti K, Karukuri M, et al. Self-secure firmware model for blockchain-enabled IoT environment to embedded system. Eur Chem Bull. 2023;12(S3).
10. Gund VD. PIR sensor-based Arduino home security system. J Instrum Innov Sci. 2023;8(3):33–37.
11. Liyakat KK. Implementation of e-mail security with three layers of authentication. J Oper Syst Dev Trends. 2022;9(2):29–35.
12. Torii N, Yamamoto D, Matsumoto T. Evaluation of latch-based physical random number generator implementation on 40 nm ASICs. In: Proceedings of the Trustworthy Embedded Devices Workshop. 1st ed. New York (NY): ACM; 2016. p. 23–30.