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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | A REVIEW ON ARTIFICIAL INTELLIGENCE IN THE DEFENCE MECHANISIM AGAINST DDoS ATTACKS |
| Authors Name: | M MANJUSHA , NITHIN M , HANVITAA G , TANUJA H BENAKATTI |
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IJRTI_181030
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| Published Paper Id: | IJRTI1911005 |
| Published In: | Volume 4 Issue 11, November-2019 |
| DOI: | |
| Abstract: | Artificial intelligence [AI] is the capacity of a computer software program or a machine to learn and think. It is also a field of computer science which tries to make computer programs or machines "quick-witted intelligence" develops intelligence machines that thinks and works like humans. Basically the view of AI as a computer program is a set of algorithms to process symbols and it has led to many useful applications such as visual perception, speech recognition, decision-making, and translation between languages, problem-solving, learning, planning and many more. Although the discipline of Artificial Intelligence (AI) was born in the summer of 1956 at Dartmouth College in Hanover, New Hampshire. AI has become a vital field whose influence on our daily lives will hardly be overestimated. Since the Eighties, AI has swollen into a broader study of the interaction between the body, brain, and setting, and the way intelligence emerges from such interaction. This review paper focuses on the most common defense methods against DDoS attacks that adopt AI and applied mathematics approaches. Additionally, the review classifies and illustrates the attack types, the testing properties, the evaluation methods and the testing datasets that are utilized in the methodology of the proposed defense methods. Finally, this review provides a guideline and possible points of encampments for developing improved solution models of defense methods against DDoS attacks. |
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| Cite Article: | "A REVIEW ON ARTIFICIAL INTELLIGENCE IN THE DEFENCE MECHANISIM AGAINST DDoS ATTACKS", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 11, page no.23 - 28, November-2019, Available :http://www.ijrti.org/papers/IJRTI1911005.pdf |
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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 |
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Published Paper ID: IJRTI1911005
Registration ID:181030
Published In: Volume 4 Issue 11, November-2019
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Page No: 23 - 28 Country: dakshina kannada, karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1911005 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1911005 |
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