QAIDS: Quantitative and Agent based Intrusion Detection System

Karami, Mojtaba; Rafsanjani, Marjan Kuchaki; Navid, Amir Hosein Fathi; Yavari, Yaeghoob

doi:10.5539/cis.v4n2p64

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…In this method there are no central entities and it is the function of each and every node to detect the malicious nodes and take respective action. A new intrusion detection architecture based on agents and clusters which is suitable for multi-hop networks was proposed [15]. In this method an IDS agent is attached to each mobile node.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Intrusion Detection System for Malicious Node Detection in Mobile Ad hoc Networks using Data Transmission Quality of Nodes

Mamatha¹,

Damodaram²

2014

IJCNIS

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Mobile Ad hoc NETworks (MANETs) are the new generation of networks that offer unrestricted mobility without any underlying infrastructure. It relies on the cooperation of all the participating nodes. Due to their open nature and lack of infrastructure, security for MANETS has become an intricate problem than the security in other networks. The conventional security mechanisms of protecting a wired network are not sufficient for these networks. Hence a second level of defense to detect and respond to the security problem called an Intrusion detection system is required. Generally the malicious nodes demonstrate a different behavioral pattern of all the other normal nodes. So an Intrusion Detection System based on anomaly based intrusion detection that works by checking the behavior of the nodes was proposed. Here, in this paper to determine the behavior of the nodes as malicious or legitimate a Data Transmission Quality (DTQ) function is used. The DTQ function is defined in such a way that it will be close to a constant or keep changing smoothly for genuine nodes and will keep on diminishing for malicious nodes.. The final decision of confirming nodes as malicious is determined by a group consensus method. The evaluation results show that the proposed method increases the detection rate as well as decreases the false positive rate.

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Section: Related Workmentioning

confidence: 99%

Enhanced Intrusion Detection System for Malicious Node Detection in Mobile Ad hoc Networks using Data Transmission Quality of Nodes

Mamatha¹,

Damodaram²

2014

IJCNIS

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Accurate Detection of Multi-layer Packet Dropping Attacks Using Distributed Mobile Agents in MANET

Boopathi

2021

J. Phys.: Conf. Ser.

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Detecting multi-layer packet drop attacks may result in extraordinary computational overhead in Mobile Ad Hoc Networks (MANET). Most of the existing works consider only data packet drop ignoring the routing packets drops. In this paper, a technique for accurate detection of malicious multi-layer packet drop attacks using mobile agents (MPDDMA) is proposed. In this technique, mobile agents are deployed in each node to detect selective dropping of routing and data packets by the malicious nodes. The source node identities the nodes whose route request and route reply count significantly differs from others by a margin. Similarly, the source node identifies the nodes whose packet received count significantly differs from others by another margin. The source then applies Fuzzy logic decision model with these margin values and MAC layer packet drop value as input variables and returns the output as probability of maliciousness (PrM). Experimental results show that MPDDMA technique achieves better detection accuracy and reduced packet drops.

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A Protocol for Intrusion Detection Based on Learning Automata in Forwarding Packets for Distributed Wireless Sensor Networks

Fathinavid

Aghababa

2012

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

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QAIDS: Quantitative and Agent based Intrusion Detection System

Cited by 4 publications

References 14 publications

Enhanced Intrusion Detection System for Malicious Node Detection in Mobile Ad hoc Networks using Data Transmission Quality of Nodes

Enhanced Intrusion Detection System for Malicious Node Detection in Mobile Ad hoc Networks using Data Transmission Quality of Nodes

Accurate Detection of Multi-layer Packet Dropping Attacks Using Distributed Mobile Agents in MANET

A Protocol for Intrusion Detection Based on Learning Automata in Forwarding Packets for Distributed Wireless Sensor Networks

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