IoT-SecNet: A Trust-based Framework for Enhancing Security in IoT Communications and Network Layer Protocols

Authors:
R.P. Pranav, R.P. Prawin, P. Paramasivan, T. Shynu, R. Subhashni  

Addresses:
Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Research and Development, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Department of Computer Science and Applications, St. Peter’s Institute of Higher Education and Research, Chennai, Tamil Nadu, India. pranavramesh2004@gmail.com, prawinrp2002@gmail.com, paramasivanchem@gmail.com, shynu469@gmail.com, subhashniraj2018@gmail.com 

Abstract:

The Internet of Things (IoT) integrates cloud computing, big data, and data mining to become a vital 21st-century technology. IoT uses hardware, software, and communication protocols to connect and share data amongst devices. However, IoT’s increasing usage raises security concerns, especially due to its ubiquitous communication infrastructure. IoT ecosystems depend on communication protocols to connect hardware and application software and enable real-world device deployment. Due to their openness, these protocols are vulnerable to DoS, DDoS, and buffer overflow attacks despite their importance. Thus, a complete framework to protect these protocols at the communication and network layers is needed. This study proposes an IoT-SecNet (Secure Network), a Trust-based Framework to improve security across IoT communication protocols. This framework verifies sensor data and sends request packets for processing, ensuring security and effective traffic management across IoT layers. Through experimental assessments, we show a 90% accuracy rate in identifying assaults and compare it to existing security solutions. Our architecture protects against threats by maintaining high communication layer protocol throughput and low delay.

Keywords: Internet of Things (IoT); Trust-Calculation Framework; Communication Protocols; Cyber Threats; Sensor Data Evaluation; Traffic Management; Network Security; Denial of Service (DoS); Distributed Denial of Service (DDoS).

Received on: 29/01/2024, Revised on: 18/03/2024, Accepted on: 05/05/2024, Published on: 03/06/2024

DOI: 10.69888/FTSCS.2024.000201

FMDB Transactions on Sustainable Computing Systems, 2024 Vol. 2 No. 2, Pages: 96-106

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