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The Fundamentals and Potential for Cyber Security of Machine Learning in the Modern World
| Content Provider | Scilit |
|---|---|
| Author | Monteiro, Ana Carolina Borges França, Reinaldo Padilha Arthur, Rangel Iano, Yuzo |
| Copyright Year | 2021 |
| Description | The large volume of data and information available on computers and the network has completely changed the direction of artificial intelligence (AI), thus influencing the ability of malicious software to invade systems and the consequent protection responses. It is in this context that Machine Learning emerges as one of the most promising ways of applying AI for the development of information security systems (Rojko 2017; Ustundag & Cevikcan 2017). Book Name: Advanced Smart Computing Technologies in Cybersecurity and Forensics |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003140023-8&type=chapterpdf |
| Ending Page | 137 |
| Page Count | 19 |
| Starting Page | 119 |
| DOI | 10.1201/9781003140023-8 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-11-01 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Advanced Smart Computing Technologies in Cybersecurity and Forensics Machine Intelligence Promising Invade Ustundag Cevikcan Malicious Software |
| Content Type | Text |
| Resource Type | Chapter |