{"product_id":"data-exfiltration-threats-and-prevention-techniques-machine-learning-and-memory-based-data-security-hardcover","title":"Data Exfiltration Threats and Prevention Techniques: Machine Learning and Memory-Based Data Security - Hardcover","description":"\u003cp\u003eby \u003cb\u003eZahir Tari\u003c\/b\u003e (Author), \u003cb\u003eNasrin Sohrabi\u003c\/b\u003e (Author), \u003cb\u003eYasaman Samadi\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eComprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eData Exfiltration Threats and Prevention Techniques\u003c\/i\u003e provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. \u003c\/p\u003e\u003cp\u003eProviding detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. \u003c\/p\u003e\u003cp\u003eComposed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eData Exfiltration Threats and Prevention Techniques\u003c\/i\u003e, readers can expect to find detailed information on: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches\u003c\/li\u003e \u003cli\u003eSupervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques\u003c\/li\u003e \u003cli\u003eBehavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences\u003c\/li\u003e \u003cli\u003eMemory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eAimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eComprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eData Exfiltration Threats and Prevention Techniques\u003c\/i\u003e provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. \u003c\/p\u003e\u003cp\u003eProviding detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. \u003c\/p\u003e\u003cp\u003eComposed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eData Exfiltration Threats and Prevention Techniques\u003c\/i\u003e, readers can expect to find detailed information on: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches\u003c\/li\u003e \u003cli\u003eSupervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques\u003c\/li\u003e \u003cli\u003eBehavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences\u003c\/li\u003e \u003cli\u003eMemory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eAimed at professionals and students alike, \u003ci\u003eData Exfiltration Threats and Prevention Techniques\u003c\/i\u003e highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNasrin Sohrabi\u003c\/b\u003e is currently pursuing her PhD in Computer Science at RMIT. She received her Bachelor's degree in Computer Software Engineering from Islamic Azad University, Iran. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eZahir Tari\u003c\/b\u003e is Professor at RMIT and Research Director of the RMIT Centre of Cyber Security Research and Innovation.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 288\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.69 x 9 x 6 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 07, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42738508103743,"sku":"9781119898870","price":233.28,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/bd0a77f1174148c932d642ff3b01bbdb.webp?v=1765153550","url":"https:\/\/dhlswag.com\/products\/data-exfiltration-threats-and-prevention-techniques-machine-learning-and-memory-based-data-security-hardcover","provider":"BBB","version":"1.0","type":"link"}