"Deep learning for intrusion detection is an emerging field that combines the power of machine learning with cybersecurity. Intrusion detection is an essential aspect of cybersecurity that involves detecting and preventing unauthorized access to computer systems. Traditional methods of intrusion detection have been limited in their effectiveness and have struggled to keep up with the evolving nature of cyber threats. Deep learning is a subfield of machine learning that uses artificial neural networks to analyze and learn ...
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"Deep learning for intrusion detection is an emerging field that combines the power of machine learning with cybersecurity. Intrusion detection is an essential aspect of cybersecurity that involves detecting and preventing unauthorized access to computer systems. Traditional methods of intrusion detection have been limited in their effectiveness and have struggled to keep up with the evolving nature of cyber threats. Deep learning is a subfield of machine learning that uses artificial neural networks to analyze and learn from large sets of data. It has shown great potential in various applications, including image and speech recognition, natural language processing, and now intrusion detection"-- Provided by publisher.
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Add this copy of Deep Learning for Intrusion Detection: Techniques and to cart. $127.23, new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2026 by Wiley.
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Add this copy of Deep Learning for Intrusion Detection: Techniques and to cart. $174.47, like new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2026 by Wiley.
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New. Sewn binding. Cloth over boards. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
