2,353 research outputs found

    Detection techniques of selective forwarding attacks in wireless sensor networks: a survey

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    The wireless sensor network has become a hot research area due its wide range of application in military and civilian domain, but as it uses wireless media for communication these are easily prone to security attacks. There are number of attacks on wireless sensor networks like black hole attack, sink hole attack, Sybil attack, selective forwarding attacks etc. in this paper we will concentrate on selective forwarding attacks In selective forwarding attacks, malicious nodes behave like normal nodes and selectively drop packets. The selection of dropping nodes may be random. Identifying such attacks is very difficult and sometimes impossible. In this paper we have listed up some detection techniques, which have been proposed by different researcher in recent years, there we also have tabular representation of qualitative analysis of detection techniquesComment: 6 Page

    Intelligent intrusion detection in low power IoTs

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    Opnet, Arne, and the Classroom

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    This paper examines OPNET Technology, Inc\u27s management programs, and Regis University\u27s Academic Research Network (ARNe) needs to find out which OPNET programs can meet the needs of ARNe. The method used was to examine ARNe\u27s needs, and research Microsoft\u27s SMF/MOF management framework, research OPNET\u27s program and module offerings, research OPNET\u27s University Program, and research how OPNET\u27s programs are used at some other universities. The research was used to create a match up between Microsoft\u27s Service Management Functions and OPNET\u27s programs and modules. And it was used to create a list of textbooks, labs, and lab manuals that would work with OPNET\u27s IT Guru and Modeler in a classroom to help teach networking theory. The examination was combined with the research to create an evaluation criteria matrix from which project recommendations could be drawn. The conclusion was that the following OPNET Technology programs and modules could be of benefit to Regis University\u27s ARNe - ACE, Automation module, Commander, DAC module, Flow Analysis module, IT Sentinel, IT Guru, NetDoctor, Report Server, and VNE Server
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