Visible to the public An adaptive approach for Detecting Blackhole using TCP Analysis in MANETs

TitleAn adaptive approach for Detecting Blackhole using TCP Analysis in MANETs
Publication TypeConference Paper
Year of Publication2020
AuthorsSharma, V., Renu, Shree, T.
Conference Name2nd International Conference on Data, Engineering and Applications (IDEA)
Date Published Feb. 2020
PublisherIEEE
ISBN Number978-1-7281-5718-4
Keywordsad hoc network, Ad hoc networks, adaptive approach, Adhoc network, AODV, Blackhole attack, central controlling authority, compositionality, different circumstance, dynamic absence, Information security, infra less environment, MANET, MANETs, Metrics, mobile ad hoc networks, mobile ad-hoc network, mobile radio, multipath, ns2, popular attack, pubcrawl, recent few years, reliable transport layer protocol TCP, resilience, Resiliency, Routing protocols, security, self-configuring, society amd researchers, TCP, TCP analysis, telecommunication network reliability, telecommunication security, transport protocols, unstructured networks
Abstract

From recent few years, need of information security is realized by society amd researchers specially in multi-path, unstructured networks as Mobile Ad-hoc Network. Devices connected in such network are self-configuring and small in size and can communicate in infra less environment. Architecture is very much dynamic and absence of central controlling authority puts challenges to the network by making more vulnerable for various threats and attacks in order to exploit the function of the network. The paper proposes, TCP analysis against very popular attack i.e. blackhole attack. Under different circumstance, reliable transport layer protocol TCP is analyzed for the effects of the attack on adhoc network. Performance has been measured using metrics of average throughput, normalized routing load and end to end delay and conclusions have been drawn based on that.

URLhttps://ieeexplore.ieee.org/document/9170743
DOI10.1109/IDEA49133.2020.9170743
Citation Keysharma_adaptive_2020