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    ARTICLE

    Black Hole and Sink Hole Attack Detection in Wireless Body Area Networks

    Rajesh Kumar Dhanaraj1, Lalitha Krishnasamy2, Oana Geman3,*, Diana Roxana Izdrui4

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1949-1965, 2021, DOI:10.32604/cmc.2021.015363

    Abstract In Wireless Body Area Networks (WBANs) with respect to health care, sensors are positioned inside the body of an individual to transfer sensed data to a central station periodically. The great challenges posed to healthcare WBANs are the black hole and sink hole attacks. Data from deployed sensor nodes are attracted by sink hole or black hole nodes while grabbing the shortest path. Identifying this issue is quite a challenging task as a small variation in medicine intake may result in a severe illness. This work proposes a hybrid detection framework for attacks by applying a Proportional Coinciding Score (PCS)… More >

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