Futuristic e-Governance Security With Deep Learning Applications

Rajeev Kumar

ISBN 10: 1668495961 / ISBN 13: 9781668495964

Verlag: IGI Global, 2024

Beschreibung

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.

Bestandsnummer des Verkäufers 9781668495964

Bibliografische Details

• Titel: Futuristic e-Governance Security With Deep Learning Applications
• Verlag: IGI Global
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 1668495961
• ISBN-13: 9781668495964
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Rajeev Kumar is PostDoc Researcher, IUKL Malaysia and Professor, Moradabad Institute of Technology, Moradabad- (India). He is Visited international countries London, United Kingdom and Mauritius as professional activities. Under his supervision awarded 4 scholar their Ph.D. and 5 Scholar is Ongoing their research work. He is awarded 3 times Best project supervisor award; He is delivered a guest lecture, keynote speaker, chaired a session in many National and International conferences, Faculty Development program and workshop; He is completed one Research Project from DST in Bhimtal; He is organized many IEEE international conferences and workshop. He is authored and coauthored more than 85 papers in refereed international journal (SCI and Non- SCI) and conferences like IEEE, Springer, American Institute of Physics, New York Science international Journal New York City (USA), American Science Journal, BioInfo science Journal, Academic science of international journal (USA), International Journal of researcher, American Journal of Physics (USA) and many international Conferences and National Conferences, like IIT Roorkee (International Conference), etc.