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Articles by M.L. Valarmathi
Total Records ( 2 ) for M.L. Valarmathi
  A. Meena Kowshalya and M.L. Valarmathi
  The world has faced three ICT (Information and Communication Technology) revolutions and the third ICT wave led to Internet of Things, the notion of anything, everything, anytime and everywhere. Out of the many visions of IoT, one revolutionary concept is to make IoT sociable i.e., incorporating social networking within internet of things. This revolution has led to the notion of Social Internet of Things (SIoT). Establishing a SIoT network or community is not so simple and requires integration of heterogeneous technology and communication solutions. This study focuses on establishing a secure and reliable communication over nodes in SIoT by computing trust dynamically among neighboring nodes. Trust management is an important area that has attracted numerous researches over the past few years. The proposed DTrustInfer computes trust based on first hand observation, second hand observation, centrality and dependability factor of a node. Properties of trust such as honesty, cooperativeness, community interest and energy of a node are considered for computing trust. Also, this study ensures secure communication among SIoT nodes through simple Secret Codes. Experimental results show that the proposed DTrustInfer out performs the existing trust models significantly.
  S. Karthik , S. Kannan , V.P. Arunachalam , T. Ravichandran and M.L. Valarmathi
  Denial of Service (DoS) attacks constitutes one of the major threats and among the hardest security problems in today's Internet. Of particular concern are Distributed Denial of Service (DDoS) attacks whose impact can be proportionally severe. With little or no advance warning, a DDoS attack can easily exhaust the computing and communication resources of its victim within a short period of time. Because of the seriousness of the problem many defense mechanisms have been proposed to combat these attacks. This study aims to provide an understanding of the existing attack methods, tools and defense mechanisms, so that a better understanding of DDoS attacks can be achieved. The goal of the study is to simulate an environment by extending NS2, setting attacking topology and traffic which can be used to evaluate and compare the methods of DDoS attacks and tools. Based on the simulation and evaluation results, more efficient and effective algorithms, techniques and procedures to combat these attacks may be developed.
 
 
 
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