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              <text>Computer-based Intelligence and Security</text>
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              <text>There is a massive increase in the incidence of cyberattacks day by day in the modern enterprise environment. Although humans are behind this task due to the rapid growth in the incidence human intervention is unable to control this. Therefore, something more than human intervention is required to have a check over it. With cyberattacks evolving at a rapid pace and with the increase in the use of devices in todays world, Artificial Intelligence (AI) and Machine Learning (ML) can help to have a check over cybercrime incidences, automate the process of detection of threat, and handle these in a better way as compared to the conventional methods used for controlling cybercrime and cyberattack. AI and ML has shown good results in data information security as these technologies are capable of analyzing a large and wide variety of data and can track threats related to cyberattacks that may cause phishing attacks. As these technologies are capable of learning and improving from past experiences, they can even predict and tell the new variety of attacks that may occur in the coming days. This chapter describes the use of AI in controlling cyberattacks and cybercrime and the expert views on this matter.  2024 selection and editorial matter, S. Vijayalakshmi, P. Durgadevi, Lija Jacob, Balamurugan Balusamy, and Parma Nand; individual chapters, the contributors.</text>
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              <text>Tanwar S.; Vijayalakshmi S.; Durgadevi P.; Girija R.</text>
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              <text>Artificial Intelligence for Cyber Defense and Smart Policing, pp. 160-171.</text>
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              <text>CRC Press</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1201/9781003251781-11" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781003251781-11&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190187373&amp;amp;doi=10.1201%2F9781003251781-11&amp;amp;partnerID=40&amp;amp;md5=a61f7927d0e1bdda44becc98544bf3e6" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190187373&amp;amp;doi=10.1201%2f9781003251781-11&amp;amp;partnerID=40&amp;amp;md5=a61f7927d0e1bdda44becc98544bf3e6&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-100381553-2; 978-103217093-0</text>
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              <text>Tanwar S., Manipal University, Jaipur, India; Vijayalakshmi S., Department of Data Science, Christ University, Pune, Lavasa, India; Durgadevi P., GITAM University (Deemed to be University), Bengaluru, India; Girija R., Manav Rachna University, Faridabad, India</text>
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