Identifying Malwares by Signature Distribution Algorithm in MANET with Assorted Strategy.
Kuruva Laxmanna, K.Lakshmi, Dr S.Prem Kumar, ,
Affiliations (M.Tech), CSEAssistant Professor, Department of Computer Science and EngineeringProfessor & HOD, Department of computer science and engineering, G.Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India.
-Malware are more frequently in mobile network, modeling an effective defence system in MANET to help the
infected nodes to recover from the infection. MANET is a self-configuring, Infrastructure less network which connect the mobile nodes without wires. It has the access point with links between the nodes along the distribution system. In this work, the
defence system is established to protect the mobile nodes form malware and stops the further propagation if it already exists.
Furthermore, the problem of how to optimally distribute the content based signatures of malware is investigated, which help
to detect the corresponding malware and disable further propagation, to minimize the number of infected nodes. By some
theoretical analysis and simulations with both synthetic and realistic mobility traces, the distribution algorithm which achieved
the optimal solution, and performs efficiently in MANET.
Kuruva Laxmanna,K.Lakshmi,Dr S.Prem Kumar."Identifying Malwares by Signature Distribution Algorithm in MANET with Assorted Strategy.". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 09,pp.636-639, SEPTEMBER - 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I922.pdf,
Keywords : Signature, distribution, Proximity malware, Heterogeneous mobile devices.
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