Paper Info
Title
A Framework For Various Attack Identification In Manet Using Multi-Granular Rough Set
Abstract
The topology changes randomly and dynamically in a mobile adhoc network (MANET). The composite characteristics of MANETs makes it exposed to interior and exterior attacks. Avoidance support techniques like authentication and encryption are appropriate to prevent attacks in MANETs. Thus, an authoritative intrusion detection model is required to prevent from attacks. These attacks can be at either the layers present in the network or can be of a general attack. Many models have been developed for the detection of intrusion and detection. These models aim at any one of the layer present in the network. Therefore, effort has been made to consider either the layers for the detection of intrusion and detection. This article uses a multigranular rough set (MGRS) for the detection of intrusion and detection in MANET. The advantage of MGRS is that it can aim at either the layers present in the network simultaneously by using multiple equivalence relations on the universe. The proposed model is compared with many traditional models and attained higher accuracy.
Year
DOI
Venue
2019
10.4018/IJISP.2019100103
INTERNATIONAL JOURNAL OF INFORMATION SECURITY AND PRIVACY
Keywords
Field
DocType
Degree of Dependency, Indiscemibility Relation, Intrusion Detection, Knowledge, Lower and Upper Approximation, Lower Approximation Reduct, Multi-Granulation, Rough Set
Mobile ad hoc network,Computer security,Computer science,Computer network,Rough set
Journal
Volume
Issue
ISSN
13
4
1930-1650
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
N. Syed Siraj Ahmed100.34
D. P. Acharjya2608.98