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논문검색

Clone Detection Using Enhanced EDD (EEDD) with Danger Theory in Mobile Wireless Sensor Network

초록

영어

In the recent years, Wireless Sensor Networks (WSN) are widely used to reap the benefits of sensing capacity of mobile nodes and its wireless mode of communication. Sensor network architectures can be used for various applications that include intrusion detection, military patrols, border monitoring, etc. The security of nodes in a sensor network is a challenging issue as they are easy targets for attacks. The node replication attack is one among those attacks. The adversary can capture security credentials from a node by compromising the node. The adversary can replicate the node using the same ID. To rectify this problem in a sensor network, various replica node detection techniques have been proposed. These techniques do not work well when multiple replicas are introduced in the network against genuine nodes. Subsequently, the detection capability of the network is degraded. To overcome these problems, this paper proposes Enhanced Efficient Distributed Detection (EEDD) algorithm. It combines the best features of EDD and danger theory of artificial immune system. This hybrid approach EEDD detects the clones. This method prevents multiple replicas in the WSN. The advantages of the proposed method include (i) increased detection rate, (ii) decreased overheads, (iii) high Packet Delivery Ratio (PDR) and (iv) low energy consumption. The proposed method is tested in a simulated environment.

목차

Abstract
 1. Introduction
 2. Review of Literature
 3. System Model
  3.1. Network Model
  3.2 Threat Model
 4. Proposed Methodology
  4.1. Enhanced EDD with Danger Theory
  4.3 Calculation of σ21 and μ1
  4.4 Online Method
  4.5 Collection Phase
  4.6 Analysis Phase
  4.7 Decision Phase
 5. Experimentation and Results
  5.1 Evaluation Metrics
 6. Conclusion
 References

저자정보

  • Ms. L. S. Sindhuja Research Scholar, Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women University, Coimbatore
  • Dr. G. Padmavathi Professor and Head, Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women University, Coimbatore

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