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Futuristic e-Governance Security With Deep Learning Applications (Advances in Electronic Government, Digital Divide, and Regional Development) - Softcover
Synopsis
In today's rapidly advancing digital world, governments face the dual challenge of harnessing technology to enhance security systems while safeguarding sensitive data from cyber threats and privacy breaches. Futuristic e-Governance Security With Deep Learning Applications provides a timely and indispensable solution to these pressing concerns. This comprehensive book takes a global perspective, exploring the integration of intelligent systems with cybersecurity applications to protect deep learning models and ensure the secure functioning of e-governance systems. By delving into cutting-edge techniques and methodologies, this book equips scholars, researchers, and industry experts with the knowledge and tools needed to address the complex security challenges of the digital era. The authors shed light on the current state-of-the-art methods while also addressing future trends and challenges. Topics covered range from skill development and intelligence system tools to deep learning, machine learning, blockchain, IoT, and cloud computing. With its interdisciplinary approach and practical insights, this book serves as an invaluable resource for those seeking to navigate the intricate landscape of e-governance security, leveraging the power of deep learning applications to protect data and ensure the smooth operation of government systems.
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About the Authors
Rajeev Kumar holds a Ph.D. in Computer Science, a D.Sc. (Post-Doctoral Degree) in Computer Science, and a Postdoctoral Fellowship from Malaysia. His academic credentials are further bolstered by certifications in Data Science and Machine Learning using Python and R Programming from IIM Raipur, as well as additional certifications from IBM and Google. A senior member of IEEE, he actively participates in the IEEE Young Professional Committee and holds memberships in the Computer Society of India (CSI) and SMIEEE. His academic areas of interest and specialization include Artificial Intelligence, Cloud Computing, e-Governance, and Networking. Prof. Kumar has made significant contributions to curriculum development and enrichment, often delivering expert talks and participating in various leadership training programs. Prof. Kumar has developed short-term courses on Artificial Intelligence, Machine Learning, Deep Learning, and their applications. He has published 13 patents, both national and international, primarily in the field of Computer Science and Engineering. He has authored and co-authored over 115 research papers in refereed international journals and conferences, including IEEE, Springer, and the American Journal of Physics. He serves as an editor and reviewer for various international journals and is a committee member for numerous IEEE and Springer international conferences.
Dato’ Dr Noor Inayah Yaakub serves as Professor at Faculty of Economics and Management, Faculty of Law and Institute of West Asian Studies, Universiti Kebangsaan Malaysia since 1998 until 2014. She serves as a Director of the Centre for Corporate Planning & Leadership, Deputy Dean for Research Graduate School of Business, and the -rst Head of Quality, Faculty of Law UKM. She serves at Global Wisdom Centre, University Islam Malaysia. She was admitted to the Malaysian Bar as an Advocate & Solicitor of the High Court of Malaya in 1996 became a quali-ed Shariah lawyer. She practiced law with Messrs. Abraham & Ooi and Co from 1996 to 1998S. She is also a quali-es Syarie lawyer of Negeri Sembilan. She has more than 20 years of experience in teaching Islamic Law, Syariah and Conventional Banking Law, Takaful and Insurance Law, Equity & Trust Law and Business Law and Ethics. She serves as Member of the Board Shariah Committee at CIMB Bank Berhad and Sun Life Malaysia Takaful Berhad. She served as Member of Board Shariah Committee at CIMB Islamic Bank Berhad until March 24, 2017. Currently, she is also a member of the Board of Shariah at Majlis Amanah Raya.
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- PublisherInformation Science Reference
- Publication date2024
- ISBN 10 166849597X
- ISBN 13 9781668495971
- BindingPaperback
- LanguageEnglish
- Number of pages276
- EditorKumar Rajeev, Abdul Hamid Abu Bakar, Inayah Binti Ya’akub Noor, Sharma Gaur Madhu, Kumar Sanjeev
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Futuristic E-governance Security With Deep Learning Applications
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Information Science Reference, 2024
ISBN 10: 166849597X
ISBN 13: 9781668495971
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Futuristic e-Governance Security With Deep Learning Applications (Paperback)
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Paperback. Condition: new. Paperback. In today's rapidly advancing digital world, governments are increasingly relying on technology to enhance security systems and streamline governance. However, this growing reliance on digital platforms and data collection also presents significant challenges. Cybersecurity threats and privacy concerns pose large risks to sensitive information and can potentially leading to inaccuracies or breaches within deep learning models. There is a pressing need for comprehensive solutions that address these security issues and protect valuable data in the realm of e-governance. Futuristic e-Governance Security With Deep Learning Applications is a timely and indispensable resource that offers a holistic approach to tackling the security challenges of the digital era. The book presents a global perspective on the integration of intelligent systems with cybersecurity applications, highlighting cutting-edge techniques and methodologies to safeguard deep learning models from security attacks and privacy vulnerabilities. By exploring the latest advances and countermeasures in deep learning, this book equips scholars, researchers, and industry experts with the knowledge and tools they need to address security concerns and develop robust e-governance systems. This comprehensive volume not only sheds light on the current state-of-the-art methods but also delves into future trends and challenges. From skill development and tools for intelligence systems to deep learning, machine learning, blockchain, IoT, and cloud computing, the book covers a wide range of topics essential to understanding and implementing secure e-governance systems. With its practical insights and interdisciplinary approach, this book serves as a vital resource for academics, researchers, and professionals seeking to navigate the complex landscape of e-governance security and leverage deep learning applications to protect valuable data and ensure the smooth functioning of government operations. "The book focuses on the recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-art methods, methodologies and implementation, attacks, and their countermeasures"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781668495971
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's rapidly advancing digital world, governments face the dual challenge of harnessing technology to enhance security systems while safeguarding sensitive data from cyber threats and privacy breaches. Futuristic e-Governance Security With Deep Learning Applications provides a timely and indispensable solution to these pressing concerns. This comprehensive book takes a global perspective, exploring the integration of intelligent systems with cybersecurity applications to protect deep learning models and ensure the secure functioning of e-governance systems. By delving into cutting-edge techniques and methodologies, this book equips scholars, researchers, and industry experts with the knowledge and tools needed to address the complex security challenges of the digital era. The authors shed light on the current state-of-the-art methods while also addressing future trends and challenges. Topics covered range from skill development and intelligence system tools to deep learning, machine learning, blockchain, IoT, and cloud computing. With its interdisciplinary approach and practical insights, this book serves as an invaluable resource for those seeking to navigate the intricate landscape of e-governance security, leveraging the power of deep learning applications to protect data and ensure the smooth operation of government systems. Seller Inventory # 9781668495971
Quantity: 1 available