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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM20571

DETECTION AND COMPARITION ANALYSIS OF RANSOMWARE

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM20571

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

M

Ms.E.Padma

PSM

Pillutla Sree Mahi

RT

Revuru Tejaswini

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Abstract

The architecture employed in the construction and design of the network’s hardware. The network’s settings can be modified dynamically. A permanent link prevents network design from changing dynamically in any other way. The application of machine learning algorithms for DDOS attack avoidance. The attack, which uses several coordinated systems to simultaneously target a certain server. The infrastructure layer devices in the SDN control layer are those that connect to the application and infrastructure layers and are managed by this software. Here, a decision tree approach is used in machine learning to identify malicious communications. The decision tree algorithm will produce accurate results.

KEYWORDS

Attacks DDoS Decision Tree Ransomware.

Cite This Article

Ms.E.Padma, Pillutla Sree Mahi, Revuru Tejaswini, "DETECTION AND COMPARITION ANALYSIS OF RANSOMWARE," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM20571

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Publication Date

9/4/2023

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Double-Blind Peer Review

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The authors declare no conflict of interest related to this research work.

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