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Volumn 381, Issue , 2016, Pages 629-636

Detection of sinkhole attack in wireless sensor network

Author keywords

Intrusion detection system; LQI; RSSI; Security; Sinkhole attacks; Wireless sensor networks

Indexed keywords

COMPUTER CRIME; DISTRIBUTED COMPUTER SYSTEMS; INTRUSION DETECTION; MERCURY (METAL); NETWORK SECURITY; SENSOR NODES;

EID: 84983212557     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-81-322-2526-3_65     Document Type: Conference Paper
Times cited : (17)

References (9)
  • 3
    • 84887830361 scopus 로고    scopus 로고
    • An efficient fuzzy localization approach in wireless sensor network
    • 10.1109/FUZZ-IEEE.2013.6622548Publication
    • Parwekar, P., Reddy, R.: An efficient fuzzy localization approach in wireless sensor network. Fuzzy Digital Object Identifier, pp. 1–6 (2013). 10.1109/FUZZ-IEEE.2013.6622548Publication
    • (2013) Fuzzy Digital Object Identifier , pp. 1-6
    • Parwekar, P.1    Reddy, R.2
  • 7
    • 0036472401 scopus 로고    scopus 로고
    • Indoor geo-location science and technology
    • Pahlavan, K., Li, X.: Indoor geo-location science and technology. IEEE Commun. Mag. 40(2), 112–118 (2002)
    • (2002) IEEE Commun. Mag , vol.40 , Issue.2 , pp. 112-118
    • Pahlavan, K.1    Li, X.2
  • 8
    • 84983154160 scopus 로고    scopus 로고
    • Detecting sinkhole attack in wireless sensor networks
    • Umashri, K., Nalini, N.: Detecting sinkhole attack in wireless sensor networks. Int. J. Scient. Eng. Res. 5, 6, (2014)
    • (2014) Int. J. Scient. Eng. Res , vol.5 , pp. 6
    • Umashri, K.1    Nalini, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.