Futuristic e-Governance Security With Deep Learning Applications
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Futuristic e-Governance Security With Deep Learning Applications: (Advances in Electronic Government, Digital Divide, and Regional Development)

Futuristic e-Governance Security With Deep Learning Applications: (Advances in Electronic Government, Digital Divide, and Regional Development)


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About the Book

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.

About the Author :
Rajeev Kumar is a renowned academician and administrator with over 15 years of expertise in advancing professional education. He currently serves as a Professor in the Department of Computer Science and Engineering at Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India. Prof. Kumar’s impressive academic credentials include a Ph.D. and a D.Sc. (Post-Doctoral Degree) in Computer Science, and a Postdoctoral Fellowship from Malaysia. He has further enhanced his expertise with certifications in Data Science and Machine Learning using Python and R Programming from IIM Raipur and advanced certifications from IBM and Google. As a senior member of IEEE, Prof. Kumar plays an active role in the IEEE Young Professional Committee and is also associated with the ACM, Computer Society of India (CSI), and SMIEEE. With core expertise in Artificial Intelligence, Cloud Computing, e-governance, and Networking, Prof. Kumar has significantly contributed to advancing academic programs. His efforts include curriculum design, delivering expert talks, and participating in high-impact leadership training programs. He has played a pivotal role in NAAC SSR preparations and has represented his institution at prestigious international academic forums in London, Mauritius, Malaysia, and Dubai. As a dedicated mentor, Prof. Kumar has guided ten scholars to complete their Ph.D. research, with four more pursuing their doctorates under his supervision and five pursuing post-doctorates from Malaysia. His exceptional guidance has earned him the Best Project Supervisor award three times. His commitment to research and innovation has cultivated a vibrant academic culture, leading to the successful incubation and development of numerous prototypes. 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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Product Details
  • ISBN-13: 9781668495988
  • Publisher: IGI Global
  • Publisher Imprint: Information Science Reference
  • Language: English
  • Series Title: Advances in Electronic Government, Digital Divide, and Regional Development
  • ISBN-10: 1668495988
  • Publisher Date: 24 Jan 2024
  • Binding: Digital download and online
  • No of Pages: 276


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Futuristic e-Governance Security With Deep Learning Applications: (Advances in Electronic Government, Digital Divide, and Regional Development)
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