Node Replication Attack Detection in Distributed Wireless Sensor Networks

Author:

Sujihelen L.1ORCID,Boddu Rajasekhar2ORCID,Murugaveni S.3ORCID,Arnika Ms.4ORCID,Haldorai Anandakumar5ORCID,Reddy Pundru Chandra Shaker6ORCID,Feng Suili7,Qin Jiayin7

Affiliation:

1. Sathyabama Institute of Science and Technology, Chennai, India

2. Department of Software Engineering, College of Computing and Informatics, Haramaya University, Dire Dawa, Ethiopia

3. Department of ECE, SRM Institute of Science and Technology, India

4. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology NCR Campus, Modinagar, Ghaziabad, Uttar Pradesh, India

5. Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

6. Department of Computer Science and Engineering, CMR College of Engineering and Technology, Telangana, Hyderabad, India

7. Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia

Abstract

Wireless sensor network (WSN) is an emerging technology used in emergency scenarios. There are a number of possible threats to WSNs because they use unsupervised IP addresses. Securing networks with unattended sensors is a real challenge nowadays. Sensor nodes lack power and storage, making them incompatible with normal security checks. It will be vital to make advancements in sensor network architecture and protocol design. There will be more vulnerability to attack if there is a lack of security. Especially, one key attack is node replication which induces the sensor node to acts as an original node, collecting data from the network and sending it to the attacker. In dynamic WSN, detecting an assault is difficult to find replica nodes. Therefore, this paper proposes a Strategic Security System (SSS) to discover replica nodes in static and dynamic distributed WSNs. It is mainly focused on enhancing detection accuracy, time delay, and communication overhead. The present system includes Single Stage Memory Random Walk with Network Division (SSRWND) and a Random-walk-based approach to detect clone attacks (RAWL). The proposed system has less memory and better detection accuracy.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference26 articles.

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