Detecting Sybil attacks in image senor network using cognitive intelligence

ABSTRACT

Wireless Sensor Network has become state-of-art technology of the 21st century, the application ranges from academic to military operations. These tiny sensors can be deployed in open environment, where security to neither data nor hardware can be guaranteed. Unfortunately, due to the resource constraints traditional security schemes cannot be applied directly, therefore designing protocols that can operate securely using smart inherent features is the only viable option. In this paper, Sybil, a denial of service attack on Image Sensor Network is analyzed and the characteristic of the cognitive protocol against this attack is evaluated based on the network's reliability and quality of service.

REFERENCES

• 1: James Kennedy , Russell C. Eberhart, Swarm intelligence, Morgan Kaufmann Publishers Inc., San Francisco, CA, 2001
• 2: Anthony D. Wood , John A. Stankovic, Denial of Service in Sensor Networks, Computer, v.35 n.10, p.54-62, October 2002 [doi>10.1109/MC.2002.1039518]
• 3: Muraleedharan R and Osadciw L.A., "Cross Layer Denial of Service Attack in Wireless Sensor Network Using Swarm Intelligence", CISS 06, Princeton University, NJ, Mar 2006.
• 4: Yan Y and Osadciw L.A., "Contourlet based Image recovery and De-noising through Wireless Fading Channels", CISS 05, John Hopkins University, Baltimore, Mar 2005.

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.2 Network Protocols
          Subjects: Routing protocols

General Terms:
Algorithms, Design, Performance, Reliability, Security

Keywords:
Sybil attack, cognitive intelligence, face recognition, wireless sensor network