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The document discusses a proposed intrusion detection system called EAACK for mobile ad hoc networks (MANETs). It notes that while MANETs provide mobility and scalability, the open wireless medium makes them vulnerable to attacks. The abstract describes how EAACK aims to improve detection of malicious behaviors in MANETs without significantly impacting network performance, as MANETs are increasingly being used in industrial applications.
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Eaack—a secure intrusion detection system for mane ts
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EAACK—A SECURE INTRUSION-DETECTION SYSTEM FOR MANETS
ABSTRACT:
The migration to wireless network from wired network has been a global trend in the past few
decades. The mobility and scalability brought by wireless network made it possible in many
applications. Among all the contemporary wireless networks, Mobile Ad hoc NETwork
(MANET) is one of the most important and unique applications.
On the contrary to traditional network architecture, MANET does not require a fixed network
infrastructure; every single node works as both a transmitter and a receiver. Nodes communicate
directly with each other when they are both within the same communication range. Otherwise,
they rely on their neighbors to relay messages. The self-configuring ability of nodes in MANET
made it popular among criticalmission applications like military use or emergency recovery.
However, the open medium and wide distribution of nodes make MANET vulnerable to
malicious attackers. In this case, it is crucial to develop efficient intrusion-detection mechanisms
to protect MANET from attacks. With the improvements of the technology and cut in hardware
costs, we are witnessing a current trend of expanding MANETs into industrial applications. To
adjust to such trend, we strongly believe that it is vital to address its potential security issues.
In this paper, we propose and implement a new intrusion-detection system named Enhanced
Adaptive ACKnowledgment (EAACK) specially designed for MANETs. Compared to
contemporary approaches, EAACK demonstrates higher malicious- behavior-detection rates in
certain circumstances while does not greatly affect the network performances.