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

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIA) 바로가기
  • 간행물
    International Journal of Security and Its Applications SCOPUS 바로가기
  • 통권
    Vol.9 No.4 (2015.04)바로가기
  • 페이지
    pp.185-202
  • 저자
    Ms. L. S. Sindhuja, Dr. G. Padmavathi
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A245521

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원문정보

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

키워드

intrusion detection sensing capacity node detection techniques Enhanced Efficient Distributed Detection detection rate decreased overheads.

저자

  • 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 ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Security and Its Applications
  • 간기
    격월간
  • pISSN
    1738-9976
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.9 No.4

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