Futuristic e-Governance Security With Deep Learning Applications

Noor Inayah Binti Ya'akub

ISBN 10: 1668495961 / ISBN 13: 9781668495964

Published by IGI Global, 2024

About this Item

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 # 9781668495964

Bibliographic Details

• Title: Futuristic e-Governance Security With Deep Learning Applications
• Publisher: IGI Global
• Publication Date: 2024
• Language: English
• ISBN 10: 1668495961
• ISBN 13: 9781668495964
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 21D millimeters 260 millimeters width by 183 millimeters height by 21 millimeters depth
• Weight: 763 grams

About this title

Synopsis

"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"--