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  4. Cybers Security Analysis and Measurement Tools Using Machine Learning Approach
 
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Cybers Security Analysis and Measurement Tools Using Machine Learning Approach

Date Issued
2022
Author(s)
Zitar, Raed 
Physics, Mathematics, Computer science 
Ghazal, Taher M.
Hasan, Mohammad Kamrul
Al-Dmour, Nidal A.
Al-Sit, Waleed T.
Shayla Islam
DOI
10.1109/ICAIC53980.2022.9897045
URI
https://depot.sorbonne.ae/handle/20.500.12458/1351
Abstract
Artificial intelligence (AI) and machine learning (ML) have been used in transforming our environment and the way people think, behave, and make decisions during the last few decades [1]. In the last two decades everyone connected to the Internet either an enterprise or individuals has become concerned about the security of his/their computational resources. Cybersecurity is responsible for protecting hardware and software resources from cyber attacks e.g. viruses, malware, intrusion, eavesdropping. Cyber attacks either come from black hackers or cyber warfare units. Artificial intelligence (AI) and machine learning (ML) have played an important role in developing efficient cyber security tools. This paper presents Latest Cyber Security Tools Based on Machine Learning which are: Windows defender ATP, DarckTrace, Cisco Network Analytic, IBM QRader, StringSifter, Sophos intercept X, SIME, NPL, and Symantec Targeted Attack Analytic.
Subjects
  • Artificial Intelligen...

  • Machine Learning (ML)...

  • cyber security

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Last Week
1
Acquisition Date
Jan 28, 2023
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