INTRUSION DETECTION SYSTEM FOR ADHOC NETWORKS

§ HITS College of Engg

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INTRUSION DETECTION SYSTEM FOR ADHOC NETWORKS

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Background

Abstract

The rapid proliferation of wireless networks and mobile computing applications has changed thelandscape of network security. The recent denial of service attacks on major Internet sites have shown us, no open computer network is immunefrom intrusions. The wireless ad-hoc network is particularly vulnerable due to its featuresof open medium, dynamic changing topology, cooperative algorithms, lack of centralizedmonitoring and management point, and lack of a clear line of defense. The traditionalway of protecting networks with firewalls and encryption software is no longer sufficientand effective. Many intrusion detection techniques have been developed on fixed wirednetworks but have been turned to be inapplicable in this new environment. We need tosearch for new architecture and mechanisms to protect wireless networks and mobilecomputing application. In this paper, we examine the vulnerabilities of wireless networksand say that we must include intrusion detection in the security architecture for mobilecomputing environment. We have showed such architecture and evaluated keymechanisms in this architecture such as applying mobile agents to intrusion detection,anomaly detection and misuse detection for mobile ad-hoc networks.

References

9 Cites in Article
  1. Z Lidong,J Zygmunt (1999). Securing ad hoc networks.
  2. A Sundaram An Introduction to Intrusion Detection.
  3. S Marti,T Giuli,K Lai,M Baker (2000). M itigating Routing Misbehavior in Mobile Ad Hoc Networks‖.
  4. William Arbaugh,Narendar Shankar,Y Wan (2001). YOUR 802.11 WIRELESS NETWORK HAS NO CLOTHES.
  5. Wenken Lee,Dong Xiang Informatic-Theoritic Measures for Anomaly Detection.
  6. Z Yongguang,L Wenke (2000). Intrusion Detection in Wireless Ad-Hoc Networks‖.
  7. Andrew Smith An Examination of an Intrusion Detection Architecture for Wireless Ad-HocNetworks.
  8. T Krugel,Toth Applying Mobile Agent Technology to Intrusion Detection 10).
  9. Avinash Kumar,Surendra Kumar (2025). Metaheuristic-Enhanced Feature Selection for High-Accuracy Intrusion Detection in Cloud Computing.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

B.V.Suresh Kumar, Dr. M.Narender. 1970. "INTRUSION DETECTION SYSTEM FOR ADHOC NETWORKS". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 8).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Version of record

v1.2

Issue date
September 20, 2010

Language
English
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INTRUSION DETECTION SYSTEM FOR ADHOC NETWORKS

B.V.Suresh Kumar
B.V.Suresh Kumar <p>HITS College of Engg</p>
Dr. M.Narender
Dr. M.Narender