Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Ramachandran, Dhanagopala | Venkatesh, J.b; * | Jothilakshmi, R.c | Gugapriya, G.d
Affiliations: [a] Centre for System Design, Deptartment Of ECE, Chennai Institute of Technology, Chennai, Tamil Nadu, India | [b] Department of Computer Science and Engineering, Chennai Institute of Technology, Kundrathur, Chennai, Tamil Nadu, India | [c] Department of Information Technology, R.M.D. Engineering College, Chennai, Tamil Nadu, India | [d] School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India
Correspondence: [*] Corresponding author. Dr.J. Venkatesh, Professor, Department of Computer Science and Engineering, Chennai Institute of Technology, Kundrathur, 600069, Chennai, Tamil Nadu, India. E-mail: venkatesh05@gmail.com.
Abstract: Since there is no central controller, preserving the security and energy efficiency of wireless sensor networks (WSN) is challenging. They also have a flexible configuration. A network of this type is vulnerable to several attacks. The main goal of this paper is to focus on a well-known attack known as the sinkhole attack. Sensors are installed and positioned equally in a WSN to communicate sensed data to a centralized station regularly. So, the sinkhole attack is a big danger to the WSN network layer, and it is still a difficult issue on sensor networks, where even the malicious node collects packets from other regular sensor nodes and dumps them. To maintain the integrity and authentication of data during its travel in wireless sensor networks overcoming sinkhole attacks we propose a novel approach. In our approach besides overcoming sinkhole attack using a threshold-based method, authentication, and data integrity is maintained using a watermarking-based technique.
Keywords: Ad-hoc On-demand Distance Vector (AODV), Binary Logistic Regression (BLR), Intrusion Detection System (IDS), Low Energy Adaptive Clustering Hierarchy (LEACH), Machine Learning, Wireless Sensor Network (WSN), Network Simulator (NS), Statistical Analysis (SA), Support Vector Machine (SVM)
DOI: 10.3233/JIFS-224463
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 4, pp. 7005-7023, 2023
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl