✦ LIBER ✦

Distributed intrusion detection for mobile ad hoc networks

✍ Scribed by PING, Y; XINGHAO, J; YUE, W; NING, L

Book ID: 122222205
Publisher: Elsevier Science
Year: 2008
Weight: 363 KB
Volume: 19
Category: Article
ISSN: 1004-4132
DOI: 10.1016/S1004-4132(08)60163-2

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Distributed Court System for intrusion d

Distributed Court System for intrusion detection in mobile ad hoc networks

✍ Da Zhang; Chai Kiat Yeo 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 985 KB

Ensemble methods for anomaly detection a

Ensemble methods for anomaly detection and distributed intrusion detection in Mobile Ad-Hoc Networks

✍ João B.D. Cabrera; Carlos Gutiérrez; Raman K. Mehra 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 666 KB

A swarm-based efficient distributed intr

A swarm-based efficient distributed intrusion detection system for mobile ad hoc networks (MANET)

✍ Indirani, G.; Selvakumar, K. 📂 Article 📅 2013 🏛 Taylor and Francis Group 🌐 English ⚖ 198 KB

[IEEE 2005 Symposium on Applications and

[IEEE 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops) - Trento, Italy (31-04 Jan. 2005)] 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops) - Distributed Intrusion Detection for Mobile Ad Hoc Networks

✍ Ping Yi, ; Yichuan Jiang, ; Yiping Zhong, ; Shiyong Zhang, 📂 Article 📅 2005 🏛 IEEE 🌐 English ⚖ 112 KB

Distributed node selection for threshold

Distributed node selection for threshold key management with intrusion detection in mobile ad hoc networks

✍ F. Richard Yu; Helen Tang 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 510 KB

Collaborative techniques for intrusion d

Collaborative techniques for intrusion detection in mobile ad-hoc networks

✍ Ningrinla Marchang; Raja Datta 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 258 KB

In this paper, we present two intrusion detection techniques for mobile ad-hoc networks, which use collaborative efforts of nodes in a neighborhood to detect a malicious node in that neighborhood. The first technique is designed for detection of malicious nodes in a neighborhood of nodes in which ea