{"product_id":"applying-artificial-intelligence-in-cybersecurity-analytics-and-cyber-threat-detection-hardcover","title":"Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection - Hardcover","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\u003eShilpa Mahajan\u003c\/b\u003e (Editor), \u003cb\u003eMehak Khurana\u003c\/b\u003e (Editor), \u003cb\u003eVania Vieira Estrela\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAPPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTION\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e \u003cb\u003eComprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML)\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eApplying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection \u003c\/i\u003eis a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. \u003c\/p\u003e\u003cp\u003eUsing AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. \u003c\/p\u003e\u003cp\u003eWith contributions from qualified authors with significant experience in the field, \u003ci\u003eApplying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection \u003c\/i\u003eexplores topics such as: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis\u003c\/li\u003e\n\u003cli\u003eApplications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering\u003c\/li\u003e\n\u003cli\u003eHow AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats\u003c\/li\u003e\n\u003cli\u003eOffensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eProviding detailed coverage of a rapidly expanding field, \u003ci\u003eApplying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection \u003c\/i\u003eis an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003cb\u003eComprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML)\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eApplying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection \u003c\/i\u003eis a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. \u003c\/p\u003e\u003cp\u003eUsing AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. \u003c\/p\u003e\u003cp\u003eWith contributions from qualified authors with significant experience in the field, \u003ci\u003eApplying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection \u003c\/i\u003eexplores topics such as: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis\u003c\/li\u003e\n\u003cli\u003eApplications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering\u003c\/li\u003e\n\u003cli\u003eHow AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats\u003c\/li\u003e\n\u003cli\u003eOffensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eProviding detailed coverage of a rapidly expanding field, \u003ci\u003eApplying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection \u003c\/i\u003eis an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eShilpa Mahajan\u003c\/b\u003e, PhD, is an Associate Professor in the School of Engineering and Technology at The NorthCap University, India. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eMehak Khurana\u003c\/b\u003e, PhD, is an Associate Professor in the School of Engineering and Technology at The NorthCap University, India. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eVania Vieira Estrela\u003c\/b\u003e, PhD, is a Professor with the Telecommunications Department of the Fluminense Federal University, Brazil.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 368\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.81 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 02, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213222723833,"sku":"9781394196449","price":180.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/g-5xVd5pZ79781394196449.webp?v=1768104345","url":"https:\/\/bookscloud.io\/products\/applying-artificial-intelligence-in-cybersecurity-analytics-and-cyber-threat-detection-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}