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    MANET에서의 의심노드 탐지 정확도 향상을 위한 기법 연구 = A Study for Detection Accuracy Improvement of Malicious Nodes on MANET

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    https://www.riss.kr/link?id=A104367134

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    MANET has an advantage that can build a network quickly and easily in difficult environment to build network. In particular, routing protocol that uses in existing mobile environment cannot be applied literally because it consists of only mobile node. Thus,routing protocol considering this characteristic is necessary. Malicious nodes do extensive damage to the whole network because each mobile node has to act as a router. In this paper,we propose technique that can detect accurately the suspected node which causes severely damage to the performance of the network. The proposed technique divides the whole network to zone of constant size and is performed simultaneously detection technique based zone and detection technique by collaboration between nodes. Detection based zone translates the information when member node finishes packet reception or transmission to master node managing zone and detects using this. The collaborative detection technique uses the information of zone table managing in master node which manages each zone. The proposed technique can reduce errors by performing detection which is a reflection of whole traffic of network.
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    MANET has an advantage that can build a network quickly and easily in difficult environment to build network. In particular, routing protocol that uses in existing mobile environment cannot be applied literally because it consists of only mobile node....

    MANET has an advantage that can build a network quickly and easily in difficult environment to build network. In particular, routing protocol that uses in existing mobile environment cannot be applied literally because it consists of only mobile node. Thus,routing protocol considering this characteristic is necessary. Malicious nodes do extensive damage to the whole network because each mobile node has to act as a router. In this paper,we propose technique that can detect accurately the suspected node which causes severely damage to the performance of the network. The proposed technique divides the whole network to zone of constant size and is performed simultaneously detection technique based zone and detection technique by collaboration between nodes. Detection based zone translates the information when member node finishes packet reception or transmission to master node managing zone and detects using this. The collaborative detection technique uses the information of zone table managing in master node which manages each zone. The proposed technique can reduce errors by performing detection which is a reflection of whole traffic of network.

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    참고문헌 (Reference)

    1 왕종수, "극단적인 네트워크 환경을 위한 효율적인 라우팅 알고리즘" (사)디지털산업정보학회 8 (8): 47-53, 2012

    2 J. Newsome, "The sybil attack in sensor networks: analysis & defenses" ACM Press 259-268, 2004

    3 C. Karlof, "Secure Routing in Wireless Sensor Networks : Attack and Countermeasures" 1 (1): 293-315, 2003

    4 A. Urpi, "Modelling cooperation in mobile ad hoc networks : a formal description of selfishness" 2003

    5 I. M. Atakli, "Mali-cious Node Detection in Wireless Sensor Networks Using Weighted Trust Evaluation" 836-843, 2008

    6 양환석, "MANET에서 효율적 역추적을 위한 경로관리에 관한 연구" (사)디지털산업정보학회 7 (7): 31-37, 2011

    7 I. Khalil, "Liteworp: A lightweight countermeasure for the wormhole attack in multihop wireless networks" 612-621, 2005

    8 G. F. Marias, "Cooperation enforcement schemes for MANETs : a survey" 6 (6): 319-332, 2006

    9 L. Ju, "An Improved Intrusion Detection Scheme Based on Weighted Trust Evaluation for Wireless Sensor Networks" 1-6, 2010

    1 왕종수, "극단적인 네트워크 환경을 위한 효율적인 라우팅 알고리즘" (사)디지털산업정보학회 8 (8): 47-53, 2012

    2 J. Newsome, "The sybil attack in sensor networks: analysis & defenses" ACM Press 259-268, 2004

    3 C. Karlof, "Secure Routing in Wireless Sensor Networks : Attack and Countermeasures" 1 (1): 293-315, 2003

    4 A. Urpi, "Modelling cooperation in mobile ad hoc networks : a formal description of selfishness" 2003

    5 I. M. Atakli, "Mali-cious Node Detection in Wireless Sensor Networks Using Weighted Trust Evaluation" 836-843, 2008

    6 양환석, "MANET에서 효율적 역추적을 위한 경로관리에 관한 연구" (사)디지털산업정보학회 7 (7): 31-37, 2011

    7 I. Khalil, "Liteworp: A lightweight countermeasure for the wormhole attack in multihop wireless networks" 612-621, 2005

    8 G. F. Marias, "Cooperation enforcement schemes for MANETs : a survey" 6 (6): 319-332, 2006

    9 L. Ju, "An Improved Intrusion Detection Scheme Based on Weighted Trust Evaluation for Wireless Sensor Networks" 1-6, 2010

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2027 평가 재인증평가 신청대상 (재인증)
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2018-01-01 등재 등재학술지 선정 (계속평가) KCI등재
    2016-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
    2015-12-01 등재 등재후보 탈락 (기타)
    2014-01-01 등재 등재후보학술지 유지 (계속평가) KCI등재후보
    2013-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2012-01-01 등재 등재후보 1차 FAIL (기타) KCI등재후보
    2011-01-01 등재 등재후보학술지 유지 (등재후보2차) KCI등재후보
    2010-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2008-06-30 학회명변경 한글명 : 디지털산업정보학회 -> (사)디지털산업정보학회
    영문명 : 미등록 -> The Korea Society of Digital Industry and Information Management
    KCI등재후보
    2008-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.46 0.46 0.37
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.29 0.26 0.301 0.24
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