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Intrusion detection systems in wireless sensor networks
This document discusses intrusion detection systems in wireless sensor networks. It begins with an introduction to wireless sensor networks and why intrusion detection is needed given security threats due to the wireless nature of these networks. It then discusses different types of security attacks like passive and active attacks. The document describes different intrusion detection system approaches including signature-based, anomaly-based, and specification-based systems. It concludes that intrusion detection aims to detect attacks on sensor nodes and helps secure wireless sensor networks as their usage increases.
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Intrusion detection systems in wireless sensor networks
- 1. Intrusion detection systemsin wireless sensor networks Presented by B. Lavanya CSE
- 2. Contents Introduction Whyis intrusion detection is needed? security threats Intrusion detection systems Conclusion References
- 3. Introduction Wireless sensornetworks (WSN) is composed of thousands of small sized, low cost, low power sensor nodes which communicate with one another wirelessly Sensor nodes do not have much computational power, limiting the kinds of networking protocols and security mechanisms they can apply.
- 4. Why intrusion detectionis needed? Because of the wireless nature of WSNs, security is a major issue. Attacker can easily listen to all the traffic and inject their own, especially if the WSN is deployed in a hostile environment.
- 5. Security threats •There arefour aspects of a wireless sensor network that security must protect: Confidentiality, data integrity, service availability, and energy • Wireless sensor networks are vulnerable to security attacks due to the broadcast nature of the transmission medium. • Types of attacks: Passive attacks and Active attacks
- 6. Cont… Passive attacks •Monitor and Eavesdropping • Traffic Analysis Active attacks • Spoofed, altered, or replayed routing information • Selective forwarding
- 7. Cont… • Sinkhole attacks •Sybil attacks • Wormholes • HELLO flood attacks • Acknowledgement spoofing
- 8. Intrusion detection systems The task of Intrusion Detection Systems (IDS) is to monitor computer networks and systems, detecting possible intrusions in the network Alerting users after intrusions had been detected, reconfiguring the network if this is possible.
- 9. Cont… Depending on thedetection techniques used, IDS can be classified into three major categories : Signature or misuse based IDS: • Signature based IDS uses pre-known attack scenarios (or signatures) and compare them with incoming packet traffic. • Once a new attack is launched, the pattern is carefully analyzed and a signature is defined for it.
- 10. Cont… Anomaly basedIDS • This approach is used to learn the usual behavior pattern of the network • The attack is suspected once the network behaves out of its regular way
- 11. Cont… specification basedIDS • It is a combination both signature and anomaly based IDS • A genuine user is expected to behave in a certain way, or it can be specific that a user should behave in this manner
- 12. conclusion As theWSN becomes necessary and used frequently for many applications, the need for securing them is also increasing due to the nature of their deployment and their resource restrictions An intrusion detection systems aims to detect attacks on sensor nodes or intrusions into the networks.
- 13. References J. NEWSOME,E. SHI, D. SONG, AND A. PERRIG, “THE SYBIL ATTACK IN SENSOR NETWORKS: ANALYSIS & DEFENSES”, PROC. OF THE THIRD INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS, ACM, PP. 259 268, 2004. Y.-C. HU, A. PERRIG, AND D.B.JOHNSON, “WORMHOLE DETECTION IN WIRELESS AD HOC NETWORKS,” DEPARTMENT OF COMPUTER SCIENCE, RICE UNIVERSITY, TECH. REP. TR01-384, JUNE 2002. A. HIJAZI AND N. NASSER, “USING MOBILE AGENTS FOR INTRUSION DETECTION IN WIRELESS AD HOC NETWORKS”, IN WIRELESS AND OPTICAL COMMUNICATIONS NETWORKS (WOCN), 2005.
- 14. Cont… J. GUAN,D. X. LIU, AN INDUCTION LEARNING APPROACH FOR BUILDING INTRUSION DETECTION MODELS USING GENETIC ALGORITHMS, PROCEEDINGS OF FIFTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION WCICA, 5, 4339-4342, 2004 S. MARTI, T. GIULI, K. LAI, AND M. BAKER, MITIGATING ROUTING MISBEHAVIOR IN MOBILE AD HOC NETWORKS, 6TH ACM/IEEE INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING AUGUST 2000.
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