AN OPTIMIZED ANT COLONY BASED INTRUSION DETECTION SYSTEM IN WIRELESS SENSOR NETWORKS
Journal: International Journal of Management (IJM) (Vol.11, No. 9)Publication Date: 2020-09-30
Authors : Mansoor Ahamad R . L. Pavithira;
Page : 1443-1452
Keywords : SVM; ACO; WSN; Intrusion Detection; classification; Multiple Key Generation.;
Abstract
Intrusion Detection System works with previous conduct that are as of now put away in information base and it doesn't have the capacity to recognize another unusual conduct. Beforehand accessible classifiers have terrible showing towards characterization precision, where bogus positive rate are high. Ant colony optimization based classifier proposed to order the uncertain and unambiguous practices in WSN and the public-key based methodology, each message is sent alongside the advanced mark of the message created utilizing the sender's private key. Each transitional forwarder and the last collector can validate the message utilizing the sender's public key. The ongoing advancement on the public-key plans can be more advantageous as far as memory utilization, message multifaceted nature, and security flexibility, since public-key based methodologies have a basic and clean key administration. It uses the normal qualities of an ant in looking for the nourishment for distinguishing the uncertain and unambiguous practices of client in WSN. The previous classifier performs arrangement dependent on known and obscure assaults recorded in the slots
Other Latest Articles
- A STUDY ON HOMOGENIZATION OF THE CONCEPT, SUSTAINABLE DEVELOPMENT IN MANAGEMENT EDUCATION IN INDIA
- A STUDY ON DEMOGRAPHIC VARIABLES AND ORGANIZATIONAL COMMITMENT OF EMPLOYEES
- THE USE OF INTEGRATED PILOTING STRATEGY TO ACHIEVE A BALANCE OF ECONOMIC EFFICIENCY AND SECURITY EFFECTIVENESS IN THE STRAIT OF MALACCA
- A STUDY ON EFFECT OF RERA ON REALTY SECTOR WITH REFERENCE TO SELECT REAL ESTATE STOCKS
- ACHIEVING SUSTAINABLE DEVELOPMENT THROUGH ENTREPRENEURSHIP & ECONOMIC EMPOWERMENT OF WOMEN IN THE TECHNOLOGICAL ERA
Last modified: 2021-01-30 21:11:10