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Machine Learning and Security: Protecting Systems with Data and Algorithms
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Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis.Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike.Learn how machine learning has contributed to the success of modern spam filtersQuickly detect anomalies, including breaches, fraud, and impending system failureConduct malware analysis by extracting useful information from computer binariesUncover attackers within the network by finding patterns inside datasetsExamine how attackers exploit consumer-facing websites and app functionalityTranslate your machine learning algorithms from the lab to productionUnderstand the threat attackers pose to machine learning solutionsFile Size=8444 KB. Print Length=386 pages. Simultaneous Device Usage=Unlimited. Publisher=O'Reilly Media; 1 edition (January 26, 2018). Publication Date=January 26, 2018. Sold by=Amazon Digital Services LLC. Language=English. ASIN=B079C7LKKY. Text-to-Speech=Enabled. X-Ray=Not Enabled. Word Wise=Not Enabled. Lending=Not Enabled. Enhanced Typesetting=Not Enabled. Amazon Best Sellers RankBusinessSecurity & EncryptionData Processing=#224,802 Paid in Kindle Store (See Top 100 Paid in Kindle Store) .zg_hrsr { margin: 0; padding: 0; list-style-type: none; } .zg_hrsr_item { margin: 0 0 0 10px; } .zg_hrsr_rank { display: inline-block; width: 80px; text-align: right; } #211 in Kindle Store > Kindle eBooks > Computers & Technology > Applications & Software > #239 in Kindle Store > Kindle eBooks > Computers & Technology > #249 in Books > Computers & Technology > Databases & Big Data >.
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