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Data exfiltration threats and prevention techniques : machine learning and memory-based data security / Zahir Tari, RMIT University, Melbourne, Australia, Nasrin Sohrabi, RMIT University, Melbourne, Australia, Yasaman Samadi, RMIT University, Melbourne, Australia, Jakapan Suaboot, Prince of Songkla University, Phuket, Thailand

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc, 2023Description: 1 Online-Ressource (xxiii, 260 pages) : illustrationsISBN:
  • 9781119898894
  • 1119898897
  • 9781119898887
  • 1119898889
  • 9781119898900
Subject(s): Additional physical formats: 9781119898870. | Erscheint auch als: Advances in data exfiltration malware, detection and prevention technologies. Druck-Ausgabe First edition. Hoboken, NJ, USA : Wiley-IEEE Press, 2023DDC classification:
  • 005.8/8 23/eng/20230302
LOC classification:
  • TK5105.59
Online resources: Summary: "Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks, raising awareness of the increasing number of attacks each year. Provided with a detailed description of the recent advances in data exfiltration detection methods and technologies, the authors discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Aimed at professionals and students alike, this book highlights a range of machine learning methods that can be used to detect potential data theft, identifying research gaps and the potential to make change in the future as technology continues to grow. Comprised of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods"--PPN: PPN: 1882629272Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
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