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010 a| 2023006591;

020 a| 9781119898870q| (cloth);

020 z| 9781119898887q| (adobe pdf);

020 z| 9781119898894q| (epub);

035 a| (WaSeSS)ssj0002845722;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| TK5105.59b| .T365 2023;

082 00 a| 005.8/82| 23/eng/20230302;

100 1 a| Tari, Zahir,d| 1961-=| ^A529743;

245 10 a| Data exfiltration threats and prevention techniquesh| [electronic resource] :b| machine learning and memory-based data security /c| 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.;

250 a| First edition.;

260 a| Hoboken, NJ, USA :b| Wiley-IEEE Press,c| 2023.;

263 a| 2306;

300 a| pages cm;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Computer securityx| Computer programs.=| ^A257308;

650 0 a| Computer networksx| Security measuresx| Computer programs.=| ^A388828;

650 0 a| Malware (Computer software)x| Identificationx| Computer programs.=| ^A1065353;

650 0 a| Malware (Computer software)x| Preventionx| Computer programs.=| ^A1065353;

650 0 a| Information filtering systems.=| ^A1400377;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Sohrabi, Nasrin,d| 1982-?| UNAUTHORIZED;

700 1 a| Samadi, Yasaman,d| 1993-?| UNAUTHORIZED;

700 1 a| Suaboot, Jakapan,d| 1984-?| UNAUTHORIZED;

856 40 z| Full text available from eBooks on EBSCOhostu| https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3615815&scope=site&custid=s5822723&authtype=ip,shib;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

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596 a| 1 3 4;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6750766-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 7/16/2026x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6750766-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 7/16/2026x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6750766-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 7/16/2026x| EBOOKz| JERESOURCE;

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.

Author/creator	Tari, Zahir, 1961-
Other author	Sohrabi, Nasrin, 1982-
Other author	Samadi, Yasaman, 1993-
Other author	Suaboot, Jakapan, 1984-
Format	Electronic
Edition	First edition.
Publication Info	Hoboken, NJ, USA : Wiley-IEEE Press, 2023.
Description	pages cm
Supplemental Content	Full text available from eBooks on EBSCOhost
Subjects	Computer security--Computer programs. Computer networks--Security measures. --Computer programs. Malware (Computer software)--Identification. --Computer programs. Malware (Computer software)--Prevention. --Computer programs. Information filtering systems.

Abstract	"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"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2023006591
ISBN	9781119898870 (cloth)
ISBN	(adobe pdf)
ISBN	(epub)

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