{"product_id":"machine-learning-for-cybersecurity-innovative-deep-learning-solutions-paperback","title":"Machine Learning for Cybersecurity: Innovative Deep Learning Solutions - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMarwan Omar\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e1. Application of Machine Learning (ML) to Address Cyber Security Threats.- 2. New Approach to Malware Detection Using Optimized Convolutional Neural Network.- 3. Malware Anomaly Detection Using Local Outlier Factor Technique.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eThis SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.\u003cbr\u003eBy implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior. \u003cbr\u003eThe knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effective\u003cbr\u003eAdvanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003e​Dr. Marwan Omar\u003c\/b\u003e is an Associate Professor of Cybersecurity at Illinois Institute of Technology since August, 2022. Dr. Omar received a Master's degree in Information Systems and Technology from the University of Phoenix, 2009 and a Doctorate Degree in Digital Systems Security from Colorado Technical University, 2012. Dr. Omar has a track record of publications in the area of cyber security along with extensive teaching experience as well as industry experience. Dr. Omar recently earned a Post-Doctoral certificate from the University of Fernando Pessoa, Portugal and holds numerous industry certifications including CEH, Sec+, GASF, and CDPSE, among others.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 48\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.12 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 25, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52492178620723,"sku":"9783031158926","price":104.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/b3YwckQrZFZub1NYSkJpcGNCay9XZz09.webp?v=1759928448","url":"https:\/\/www.vysn.com\/products\/machine-learning-for-cybersecurity-innovative-deep-learning-solutions-paperback","provider":"VYSN","version":"1.0","type":"link"}