More individuals than ever are utilizing internet technologies to work from home, teach and learn, shop, interact with peers, review medical records, and more. While it is certainly convenient to conduct such tasks via the internet, this increased internet presence has also led to a rise in the search and availability of personal information, which in turn is resulting in more cyber-attacks, privacy breaches, and information leaks. Cyber criminals are using such opportunities to attack governments, organizations, and individuals, making it necessary to anticipate, assess, and mitigate privacy and security threats during this infodemic. The Handbook of Research on Technical, Privacy, and Security Challenges in a Modern World discusses the design and development of different machine learning systems, including next generation applications, in order to mitigate cyber-attacks and address security challenges in everyday technologies. It further explores select methods and algorithms of learning for implementing better security methods in fields such as business and healthcare. It recognizes the future of privacy and the importance of preserving data through recommended practice, feedback loops, and smart agents. Covering topics such as face mask detection, gesture recognition, and botnet attacks and detection, this major reference work is a dynamic resource for medical professionals, healthcare administrators, government officials, business executives and managers, IT managers, students and faculty of higher education, librarians, researchers, and academicians.
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Amit Kumar Tyagi (GATE, NPwD-JRF, UGC-NET, and ICAR-NET) received his Ph.D degree in 2018 from Pondicherry Central University, Puducherry, India, in area of “Vehicular Ad-hoc Networks”. His research interests include Formal Language Theory, Smart and Secure Computing, Privacy (including Genomic Privacy), Machine Learning with Big data, Blockchain Technology, Cyber Physical System etc. He has completed his M.Tech degree from the Pondicherry Central University, Puducherry, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) for the periods of 2009-2010, and 2012-2013. With more than 08 (Eight) years of teaching and research experience across India, currently he is working as an Assistant Professor in Vellore Institute of Technology, Chennai Campus, Chennai 600127, Tamilnadu, India. Additionally, He is also the recipient/ awarded of the GATE and NPwD-JRF fellowship in 2009, 2016 and 2013. He has been published one major book titled “Know Your Technical (IT) Skills”. Also He is a member of various Computer/ Research Communities like IEEE, ISOC, CSI, ISTE, DataScience, MIRLab, etc.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnMore individuals than ever are utilizing internet technologies to work from home, teach and learn, shop, interact with peers, review medical records, and more. While it is certainly convenient to conduct such tasks via the interne. Nº de ref. del artículo: 725609899
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - More individuals than ever are utilizing internet technologies to work from home, teach and learn, shop, interact with peers, review medical records, and more. While it is certainly convenient to conduct such tasks via the internet, this increased internet presence has also led to a rise in the search and availability of personal information, which in turn is resulting in more cyber-attacks, privacy breaches, and information leaks. Cyber criminals are using such opportunities to attack governments, organizations, and individuals, making it necessary to anticipate, assess, and mitigate privacy and security threats during this infodemic. The Handbook of Research on Technical, Privacy, and Security Challenges in a Modern World discusses the design and development of different machine learning systems, including next generation applications, in order to mitigate cyber-attacks and address security challenges in everyday technologies. It further explores select methods and algorithms of learning for implementing better security methods in fields such as business and healthcare. It recognizes the future of privacy and the importance of preserving data through recommended practice, feedback loops, and smart agents. Covering topics such as face mask detection, gesture recognition, and botnet attacks and detection, this major reference work is a dynamic resource for medical professionals, healthcare administrators, government officials, business executives and managers, IT managers, students and faculty of higher education, librarians, researchers, and academicians. Nº de ref. del artículo: 9781668452509
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