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Book ChapterDOI

Enhancing the Security in Wireless Sensor Network Using Hidden Markov Model

Santosh Anand, +1 more
- pp 409-423
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The article was published on 2022-01-01. It has received 3 citations till now. The article focuses on the topics: Wireless sensor network & Hidden Markov model.

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Proceedings ArticleDOI

Enhancement of security in WSN using ETDES and BBDT technique

TL;DR: Triple-DES is enhanced with the help of AES algorithm (ETDES) and implementation of blockchain (BBDT) in a wireless network for secure data communication in between sensor nodes to reach to the destination.
References
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Journal ArticleDOI

Detecting and Isolating Black-Hole Attacks in MANET Using Timer Based Baited Technique

TL;DR: AODV is enhanced by integrating a new lightweight technique that uses timers and baiting in order to detect and isolate single and cooperative black-hole attacks.
Journal ArticleDOI

A Secure Group-Based Blackhole Node Detection Scheme for Hierarchical Wireless Sensor Networks

TL;DR: A new efficient group-based technique for the detection and prevention of multiple blackhole attacker nodes in WSNs is proposed, which achieves about 90 % detection rate and 3.75 % false positive rate, which are significantly better than the existing related schemes.
Proceedings ArticleDOI

Security issues in Wireless Sensor Network — A review

TL;DR: In this paper, the authors studied the security issues and security threats in WSNs and gave brief description of some of the protocols used to achieve security in the network and compared the proposed methodologies analytically and demonstrates the findings in a table.
Proceedings ArticleDOI

Security issues in Wireless Sensor Networks: Current research and challenges

TL;DR: In the WSNs the security issues manage by these categories: cryptography techniques, a key management schemes, secure routing protocols, secure data aggregation and intrusion detection.
Journal ArticleDOI

Preventing Black Hole Attack in Wireless Sensor Network Using HMM

TL;DR: A Hidden Markov Model solution to identify malicious nodes in wireless sensor networks through prevention of black hole attack is provided based on a new routing algorithm which analyses shortest path in order to avoid malicious node path.
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