Comparative study of Attacks on AODV-based Mobile Ad Hoc Networks
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
In recent years, the use of mobile ad hoc networks (MANETs) has been widespread in many applications, The lack of infrastructures in MANETs makes the detection and control of security hazards all the more difficult. The security issue is becoming a major concern and bottle neck in the application of MANET. In this paper, an attempt has been made to thoroughly study the blackhole attack which is one of the possible attacks in ad hoc networks in routing protocol AODV with possible solution to blackhole attack detection.
Authors and Affiliations
Ipsa De , Debdutta Barman Roy
Keywords
Related Articles
- EP ID EP124264
- DOI -
- Views 88
- Downloads 0
An Algorithm for Frequent Pattern Mining Based On Apriori
Frequent pattern mining is a heavily researched area in the field of data mining with wide range of applications. Mining frequent patterns from large scale databases has emerged as an important problem in data mining and...
Query Based Duplicate Data Detection on WWW
The problem of finding relevant documents has become much more prominent due to the presence of duplicate data on the WWW. This redundancy in results increases the users’ seek time to find the desired information within...
Music Controller based on Hand Gestures using Webcam
Interaction of human beings with computers can be done without any physical interface and this can be done using gestures. The paper addresses a solution to access the music player in the computer via the webcam. This pa...
VoIP over WMN: Effect of packet aggregation
VoIP services are getting more and more popular day by day. In order to meet the users demand for such services irrespective of users location requires wide area wireless coverage .To this extent, wireless mesh networks...
Classification of Indian Stock Market Data Using Machine Learning Algorithms
Classification of Indian stock market data has always been a ertain appeal for researchers. In this paper, first time ombination of three supervised machine learning algorithms, lassification and regression tree (CART...