| Title | Cybers Security Analysis and Measurement Tools Using Machine Learning Approach |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Ghazal, Taher M., Hasan, Mohammad Kamrul, Zitar, Raed Abu, Al-Dmour, Nidal A., Al-Sit, Waleed T., Islam, Shayla |
| Conference Name | 2022 1st International Conference on AI in Cybersecurity (ICAIC) |
| Keywords | and cyber security, artificial intelligence, Artificial Intelligence (AI), composability, compositionality, Computational Intelligence, cryptography, Government, Hardware, Internet, learning (artificial intelligence), machine learning, machine learning (ML), machine learning algorithms, pubcrawl, security |
| 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. |
| DOI | 10.1109/ICAIC53980.2022.9897045 |
| Citation Key | ghazal_cybers_2022 |
Cybers Security Analysis and Measurement Tools Using Machine Learning Approach