An Ameliorated Methodology for MANET Security using Artificial Intelligence and Dynamic Cache Segmentation
Mamatha C M,  Jagadish P,  Anjank Koundinya
The paper contains a new concept where Cluster of sensor nodes are secured by Artificial Intelligence (AI), and performance is increased by using dynamic cache segmentation. It explains how AI actually safeguards Cluster of sensor nodes. Though AI is used for many purposes such as Gaming, Robotics etc., it is not yet used for Cluster of sensor nodes. In detail, the paper presents the functioning of AI as a protective layer. It mainly focuses on Data Security and Performance Increase.
WSN provides a variety of computing resources, from servers and storage to enterprise applications such as email, security, backup/DR, voice, all delivered over the Internet. It is the intelligence exhibited by machines or software. It is an academic field of study which studies how to create computers and computer software that are capable of intelligent behavior. Recently, dynamic content, whose construction is changed dynamically according to an user's request, has been wide-spreading across the sensor nodes. This paper proposes a technique to fast response to the dynamic content of various sensor nodes by the help of cache segmentation between server and the user, and describes the design and implementation of our proposed network cache system and provides security to cluster nodes by using AI as a barrier where every data files goes inside cluster. It gets scanned by AI for viruses and makes data virus-free.
Keywords- MARIN, DCS, Cluster, Artificial Intelligence , CSA (Cluster Security Alliance).
Cite this Article
Mamatha C M,  Jagadish P,  Anjank Koundinya,   "An Ameliorated Methodology for MANET Security using Artificial Intelligence and Dynamic Cache Segmentation"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 2, pp.270-273, June 2021, Available at :http://www.ijedr.org/papers/IJEDR2102043.pdf