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Confluence of AI, Machine, and Deep Learning in Cyber Forensics (Hardcover)
Loot Price: R6,962
Discovery Miles 69 620
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Confluence of AI, Machine, and Deep Learning in Cyber Forensics (Hardcover)
Expected to ship within 12 - 17 working days
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Donate to Against Period Poverty
Total price: R6,982
Discovery Miles: 69 820
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Developing a knowledge model helps to formalize the difficult task
of analyzing crime incidents in addition to preserving and
presenting the digital evidence for legal processing. The use of
data analytics techniques to collect evidence assists forensic
investigators in following the standard set of forensic procedures,
techniques, and methods used for evidence collection and
extraction. Varieties of data sources and information can be
uniquely identified, physically isolated from the crime scene,
protected, stored, and transmitted for investigation using AI
techniques. With such large volumes of forensic data being
processed, different deep learning techniques may be employed.
Confluence of AI, Machine, and Deep Learning in Cyber Forensics
contains cutting-edge research on the latest AI techniques being
used to design and build solutions that address prevailing issues
in cyber forensics and that will support efficient and effective
investigations. This book seeks to understand the value of the deep
learning algorithm to handle evidence data as well as the usage of
neural networks to analyze investigation data. Other themes that
are explored include machine learning algorithms that allow
machines to interact with the evidence, deep learning algorithms
that can handle evidence acquisition and preservation, and
techniques in both fields that allow for the analysis of huge
amounts of data collected during a forensic investigation. This
book is ideally intended for forensics experts, forensic
investigators, cyber forensic practitioners, researchers,
academicians, and students interested in cyber forensics, computer
science and engineering, information technology, and electronics
and communication.
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