Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Deficiency of infrastructure and dynamic nature of MANET attracts to launch attack, one of them is flooding. Reactive routing for example AODV is more popular than proactive routing as it uses flooding to find out route. In this technique, attackers launch DoS attack like flooding, black hole and gray hole which are the recognized attacks in MANET. In this project we have proposed a new method based on AODV behavioral metrics detect and prevent MANET flooding attacks. In this method we have used the PDER, CO and PMIR as metrics to prediction of flooding attacks. The proposed method is implemented on NS-2 test bed.
"Detection and Prevention of Flooding Attack in MANET using Support Vector Machine (SVM)", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 3, page no.81 - 85, March-2018, Available :http://www.ijrti.org/papers/IJRTI1803013.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator