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Data Exfiltration Threats and Prevention Techniques - Machine Learning and Memory-Based Data Security (Hardcover)
Loot Price: R2,946
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Data Exfiltration Threats and Prevention Techniques - Machine Learning and Memory-Based Data Security (Hardcover)
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DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive
resource covering threat prevention techniques for data
exfiltration and applying machine learning applications to aid in
identification and prevention Data Exfiltration Threats and
Prevention Techniques 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. Providing 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. Composed
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. In Data Exfiltration
Threats and Prevention Techniques, readers can expect to find
detailed information on: Sensitive data classification, covering
text pre-processing, supervised text classification, automated text
clustering, and other sensitive text detection approaches
Supervised machine learning technologies for intrusion detection
systems, covering taxonomy and benchmarking of supervised machine
learning techniques Behavior-based malware detection using API-call
sequences, covering API-call extraction techniques and detecting
data stealing behavior based on API-call sequences Memory-based
sensitive data monitoring for real-time data exfiltration detection
and advanced time delay data exfiltration attack and detection
Aimed 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.
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