A Novel Hybrid Intrusion Detection Using Flow-Based Anomaly Detection and Cross-Layer Features in Wireless Sensor Network
Author:
Publisher
Allerton Press
Subject
Signal Processing,Control and Systems Engineering,Software
Link
http://link.springer.com/content/pdf/10.3103/S0146411620010046.pdf
Reference13 articles.
1. Fabrizio Angiulli, Luciano Argento, and Angelo Furfaro, Exploiting content spatial distribution to improve detection of intrusions, ACM Trans. Internet Technol., 2018, vol. 18, no. 2, pp. 1802–1825.
2. Muhammad Fahad Umer and Sher, M.Bi.Y., A two-stage flow-based intrusion detection model for next-generation networks, PloS One, 2018, vol. 13, no. 1, pp. 1–20.
3. Babber, K. and Randhawa, R., A cross-layer optimization framework for energy efficiency in wireless sensor networks, Wireless Sensor Network, 2017, vol. 9, no. 6, pp. 189–203.
4. Ganesh Reddy Karri and P. Santhi Thilagam, Reputation-based cross-layer intrusion detection system for wormhole attacks in wireless mesh networks, Secur. Commun. Networks, 2014, vol. 7, pp. 2442–2462.
5. Joseph, J.F.C., et al., Cross-layer detection of sinking behavior in wireless ad hoc networks using SVM and FDA, IEEE Trans. Defendable Secure Comput., 2011, vol. 8, no. 2, pp. 233–245.
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