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April 2024

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title

FRONESIS: DIGITAL FORENSICS-BASED EARLY DETECTION OF ONGOING CYBER-ATTACKS

Author(s):

Mrs.Yogashree.P

Keywords:

Abstract

With the advancement of the Internet, digital threats are evolving at a rapid pace, and the digital security scenario isn't always optimistic. AI (ML) and Deep Learning (DL) processes for local area interruption discovery assessment and gives a quick informative depiction of each ML/DL strategy. Papers addressing each technique had been compiled, read, and summarized based only on their global or personal ties. Since data are so fundamental in ML/DL strategies, they depict some of the normally utilized local area datasets used in ML/DL, talk the requesting circumstances of the utilization of ML/DL for digital assurance and proposition rules for concentrates on headings. Within the investigations of Intrusion Detection techniques, the KDD data set is often regarded as a standard.

Other Details

Paper ID: IJSARTV
Published in: Volume : 9, Issue : 4
Publication Date: 4/5/2023

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