Futuristic E Governance Security With Deep Learning Applications

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Futuristic e-Governance Security With Deep Learning Applications

Author : Kumar, Rajeev,Abdul Hamid, Abu Bakar,Inayah Binti Ya’akub, Noor,Sharma Gaur, Madhu,Kumar, Sanjeev
Publisher : IGI Global
Page : 291 pages
File Size : 45,7 Mb
Release : 2024-01-24
Category : Computers
ISBN : 9781668495988

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Futuristic e-Governance Security With Deep Learning Applications by Kumar, Rajeev,Abdul Hamid, Abu Bakar,Inayah Binti Ya’akub, Noor,Sharma Gaur, Madhu,Kumar, Sanjeev Pdf

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.

Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management

Author : Kumar, Rajeev,Abdul Hamid, Abu Bakar,Binti Ya’akub, Noor Inayah
Publisher : IGI Global
Page : 421 pages
File Size : 45,5 Mb
Release : 2023-09-25
Category : Computers
ISBN : 9781668491539

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Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management by Kumar, Rajeev,Abdul Hamid, Abu Bakar,Binti Ya’akub, Noor Inayah Pdf

Emerging technologies have become both crucibles and showrooms for the practical application of artificial intelligence, the internet of things, and cloud computing, and for integrating big data into everyday life. Is the digital world optimized and sustainable using intelligence systems, machine learning, and cyber security methods? This complex concoction of challenges requires new thinking of the synergistic utilization of intelligence systems, machine learning, deep learning and blockchain methods, data-driven decision-making with automation infrastructure, autonomous transportation, and connected buildings. Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management provides a global perspective on current and future trends concerning the integration of intelligent systems with cybersecurity applications, including recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-the-art methods, methodologies and implementation, attacks, and countermeasures. The book also discusses the challenges that need to be addressed for implementing DL-based security mechanisms that should have the capability of collecting or distributing data across several applications. Topics covered include skill development and tools for intelligence systems, deep learning, machine learning, blockchain, IoT, cloud computing, data ethics, and infrastructure. It is ideal for independent researchers, research scholars, scientists, libraries, industry experts, academic students, business associations, communication and marketing agencies, entrepreneurs, and all potential audiences with a specific interest in these topics.

Emerging Technologies for Securing the Cloud and IoT

Author : Ahmed Nacer, Amina,Abdmeziem, Mohammed Riyadh
Publisher : IGI Global
Page : 385 pages
File Size : 52,6 Mb
Release : 2024-04-01
Category : Computers
ISBN : 9798369307670

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Emerging Technologies for Securing the Cloud and IoT by Ahmed Nacer, Amina,Abdmeziem, Mohammed Riyadh Pdf

In an age defined by the transformative ascent of cloud computing and the Internet of Things (IoT), our technological landscape has undergone a revolutionary evolution, enhancing convenience and connectivity in unprecedented ways. This convergence, while redefining how we interact with data and devices, has also brought to the forefront a pressing concern – the susceptibility of these systems to security breaches. As cloud services integrate further into our daily lives and the IoT saturates every aspect of our routines, the looming potential for cyberattacks and data breaches necessitates immediate and robust solutions to fortify the protection of sensitive information, ensuring the privacy and integrity of individuals, organizations, and critical infrastructure. Emerging Technologies for Securing the Cloud and IoT emerges as a comprehensive and timely solution to address the multifaceted security challenges posed by these groundbreaking technologies. Edited by Amina Ahmed Nacer from the University of Lorraine, France, and Mohammed Riyadh Abdmeziem from Ecole Nationale Supérieur d’Informatique, Algeria, this book serves as an invaluable guide for both academic scholars and industry experts. Its content delves deeply into the intricate web of security concerns, elucidating the potential ramifications of unaddressed vulnerabilities within cloud and IoT systems. With a pragmatic focus on real-world applications, the book beckons authors to explore themes like security frameworks, integration of AI and machine learning, data safeguarding, threat modeling, and more. Authored by esteemed researchers, practitioners, and luminaries, each chapter bridges the divide between theory and implementation, aiming to be an authoritative reference empowering readers to adeptly navigate the complexities of securing cloud-based IoT systems. A crucial resource for scholars, students, professionals, and policymakers striving to comprehend, confront, and surmount contemporary and future security challenges, this book stands as the quintessential guide for ushering in an era of secure technological advancement.

Machine Learning and Data Science Techniques for Effective Government Service Delivery

Author : Ogunleye, Olalekan Samuel
Publisher : IGI Global
Page : 358 pages
File Size : 43,6 Mb
Release : 2024-03-27
Category : Political Science
ISBN : 9781668497180

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Machine Learning and Data Science Techniques for Effective Government Service Delivery by Ogunleye, Olalekan Samuel Pdf

In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new approach that integrates data science and machine learning. The book, Machine Learning and Data Science Techniques for Effective Government Service Delivery, becomes a vital resource in this transformation, offering a deep understanding of these technologies and their applications. Within the complex landscape of modern governance, this book stands as a solution-oriented guide. Recognizing data's value in the 21st century, it navigates the world of data science and machine learning, enhancing the mechanics of government service. By addressing citizens' evolving needs, these advanced methods counter inefficiencies in traditional systems. Tailored for experts across technology, academia, and government, the book bridges theory and practicality. Covering foundational concepts and innovative applications, it explores the potential of data-driven decision-making for a more efficient and citizen-centric government future.

Convergence of Human Resources Technologies and Industry 5.0

Author : Kumar, Pawan,Kumar, Sunil,Verma, Rajesh,Dadwal, Sumesh
Publisher : IGI Global
Page : 386 pages
File Size : 42,7 Mb
Release : 2024-04-29
Category : Business & Economics
ISBN : 9798369313442

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Convergence of Human Resources Technologies and Industry 5.0 by Kumar, Pawan,Kumar, Sunil,Verma, Rajesh,Dadwal, Sumesh Pdf

Through a combination of rapid technological advancement and the ongoing digital revolution, the role of Human Resources (HR) in shaping organizational trajectories has seen unprecedented growth. The amalgamation of digital HR technologies and the advent of Industry 5.0 pose both exceptional opportunities and formidable challenges, especially for developing economies grappling with resource constraints and skill gaps. These nations stand at a crossroads, where leveraging digital HR technologies becomes imperative for bolstering their competitive edge in the global arena. The book Convergence of Human Resources Technologies and Industry 5.0 undertakes a comprehensive exploration of the impacts, implementation, and repercussions of digital HR technologies within the framework of Industry 5.0 in developing economies. Bridging the gap between theory and practice, it employs a comprehensive approach encompassing theoretical frameworks, empirical investigations, and practical insights from both academia and industry. By offering tangible takeaways, and approaches, it equips readers to adeptly harness the power of digital HR technologies, enabling organizations to thrive in the era of Industry 5.0. Designed for HR professionals, executives, managers, researchers, policymakers, and students, this book delves into critical topics such as understanding the notion of Industry 5.0 in developing economies, exploring the transformative potential of digital HR technologies, and addressing challenges associated with their implementation.

Technological Advancements in Data Processing for Next Generation Intelligent Systems

Author : Sharma, Shanu,Prakash, Ayushi,Sugumaran, Vijayan
Publisher : IGI Global
Page : 380 pages
File Size : 43,8 Mb
Release : 2024-03-18
Category : Computers
ISBN : 9798369309698

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Technological Advancements in Data Processing for Next Generation Intelligent Systems by Sharma, Shanu,Prakash, Ayushi,Sugumaran, Vijayan Pdf

Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedented potential for handling vast data volumes and real-time analysis. The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves as a valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range of topics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI for Internet of Things (IoT) sensory data, and more.

The Convergence of Self-Sustaining Systems With AI and IoT

Author : Rajappan, Roopa Chandrika,Gowri Ganesh, N.S.,Daniel, J. Alfred,Ahmad, Awais,Santhosh, R.
Publisher : IGI Global
Page : 428 pages
File Size : 42,5 Mb
Release : 2024-04-26
Category : Business & Economics
ISBN : 9798369317037

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The Convergence of Self-Sustaining Systems With AI and IoT by Rajappan, Roopa Chandrika,Gowri Ganesh, N.S.,Daniel, J. Alfred,Ahmad, Awais,Santhosh, R. Pdf

Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.

Production, Properties, and Applications of Engineered Cementitious Composites

Author : Praveenkumar, S.,Davim, J. Paulo
Publisher : IGI Global
Page : 361 pages
File Size : 43,9 Mb
Release : 2024-04-19
Category : Technology & Engineering
ISBN : 9781668481844

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Production, Properties, and Applications of Engineered Cementitious Composites by Praveenkumar, S.,Davim, J. Paulo Pdf

Engineered cementitious composites (ECC) is a new type of fiber-reinforced bendable cementitious composite that is used in various civil engineering applications instead of conventional and fiber-reinforced concrete due to its high mechanical and durable properties. In the macro and micro mechanic systems of ECC, the incorporation of different materials plays a vital role in enhancing the properties of ECC. Conventional concrete and fiber-reinforced concrete have a brittle nature and crack easily under environmental and mechanical loads, affecting the durability of structures. The usage of alternative materials in the ECC modifies the brittle nature and offers environmentally sustainable construction with low embodied energy and a negative carbon footprint. Production, Properties, and Applications of Engineered Cementitious Composites highlights the new and innovative ways of production, properties, and various applications of engineered cementitious composites. The main focus of the book is on the latest advancements, technical knowledge, tools, and solutions for engineered cementitious composites manufacturing, design, and technologies for construction from various perspectives. Covering key topics such as alternative materials, mineral admixtures, and testing of engineered cementitious composites, this premier reference source is ideal for engineers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Developments Towards Next Generation Intelligent Systems for Sustainable Development

Author : Sharma, Shanu,Prakash, Ayushi,Sugumaran, Vijayan
Publisher : IGI Global
Page : 347 pages
File Size : 50,5 Mb
Release : 2024-04-04
Category : Business & Economics
ISBN : 9798369356456

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Developments Towards Next Generation Intelligent Systems for Sustainable Development by Sharma, Shanu,Prakash, Ayushi,Sugumaran, Vijayan Pdf

The rapid proliferation of connected devices in our daily lives, from smart homes to industrial sensors, has led to an explosion of data that requires processing before it is useful to experts. However, modern devices often have limited resources, making it challenging to decode and utilize this data effectively. Additionally, the need for real-time decision-making further complicates this issue, as traditional data processing methods take far too long to be able to keep up with the required volume and speed. Developments Towards Next Generation Intelligent Systems for Sustainable Development offers a comprehensive solution to these challenges by integrating novel technologies such as AI, edge computing, federated learning, quantum computing, and more. The book shows how intelligent systems can maximize computing power by leveraging these technologies to process large volumes of data efficiently and autonomously and make real-time decisions. The proposed architectures and frameworks focus on real-time analysis, faster decision-making, enhanced privacy, and efficient data processing.

Emerging Developments and Technologies in Digital Government

Author : Guo, Yuanyuan
Publisher : IGI Global
Page : 443 pages
File Size : 44,5 Mb
Release : 2024-04-15
Category : Political Science
ISBN : 9798369323649

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Emerging Developments and Technologies in Digital Government by Guo, Yuanyuan Pdf

As the digital government field continues to evolve rapidly, scholars and professionals must stay ahead of the curve by developing innovative solutions and gaining comprehensive insights. The global landscape of digital governance is undergoing transformative shifts, necessitating a deep understanding of historical developments, current practices, and emerging trends. This urgent demand for knowledge forms the crux of the problem that the book, Emerging Developments and Technologies in Digital Government, addresses with expert knowledge and insights. The book serves as an indispensable resource for academic scholars grappling with the complexities of digital government. It critically examines historical transitions from technology-centric paradigms to people-centric models, shedding light on the global impact of open data initiatives and the vital role of human-computer interaction in reshaping government websites. For professionals and researchers across disciplines such as library sciences, administrative management, sociology, and information technology, this book becomes a beacon, offering insights and tangible solutions to navigate the multifaceted dimensions of digital government.

Digital Transformation and Sustainable Development in Cities and Organizations

Author : Theofanidis, Faidon,Abidi, Oualid,Erturk, Alper,Colbran, Stephen Edward,Co?kun, Erman
Publisher : IGI Global
Page : 321 pages
File Size : 46,6 Mb
Release : 2024-02-27
Category : Business & Economics
ISBN : 9798369335680

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Digital Transformation and Sustainable Development in Cities and Organizations by Theofanidis, Faidon,Abidi, Oualid,Erturk, Alper,Colbran, Stephen Edward,Co?kun, Erman Pdf

In the ever-evolving landscape of the modern business world, a critical challenge has emerged at the crossroads of digital transformation and sustainable development. Businesses grapple with the need to adapt to digitalization while ensuring their practices align with the imperatives of sustainability. The complexities of this intersection demand innovative solutions and profound insights. Enter Digital Transformation and Sustainable Development in Cities and Organizations – a groundbreaking book that unravels the intricacies of this challenge and provides a comprehensive roadmap for organizations navigating the digital age with a commitment to sustainability. Traditional business models are rendered obsolete as the relentless march of digitalization transforms industries. Amidst this upheaval, the imperative to embrace sustainable practices often takes a backseat. Businesses face the daunting task of navigating this dual challenge – staying technologically relevant while safeguarding the environment and societal well-being. The consequences of overlooking this intersection are profound, leading to missed opportunities for growth and contributing to the escalating threats posed by climate change. The need for a cohesive guide that addresses these intertwined challenges has never been more urgent.

Advanced Businesses in Industry 6.0

Author : Oskounejad, Mohammad Mehdi,Nozari, Hamed
Publisher : IGI Global
Page : 297 pages
File Size : 55,7 Mb
Release : 2024-04-29
Category : Business & Economics
ISBN : 9798369331095

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Advanced Businesses in Industry 6.0 by Oskounejad, Mohammad Mehdi,Nozari, Hamed Pdf

In an era dominated by technology, our world is experiencing a radical transformation through the relentless expansion of industrial generations. The advent of the fourth industrial generation unleashed transformative technologies that revolutionized businesses, enabling access to unprecedented data and analytical capabilities. As we transition into the fifth industrial generation, concepts like sustainability, resilience, and value take center stage, laying the foundation for what is now known as Industry 6.0. In this landscape, processes are intelligently managed without human intervention, and artificial intelligence burgeons, promising a future where calculations and analyses occur at unprecedented speeds through quantum computing. Advanced Businesses in Industry 6.0 emerges as a comprehensive guide to decipher the intricacies of Industry 6.0. With a focus on ultra-advanced concepts, we aim to provide a roadmap for scholars and professionals, offering insights into the opportunities and challenges within this ultra-smart environment. Tailored for students and professionals alike, this book delves into essential topics such as super smart businesses, supply chain advancements, smart factories, production, procurement, information logistics, distribution, interactions, marketing, finance, agriculture, and health systems in Industry 6.0.

Sustainable Development in AI, Blockchain, and E-Governance Applications

Author : Kumar, Rajeev,Abdul Hamid, Abu Bakar,Binti Ya’akub, Noor Inayah,Sharan, Hari Om,Kumar, Sandeep
Publisher : IGI Global
Page : 295 pages
File Size : 49,8 Mb
Release : 2024-02-09
Category : Business & Economics
ISBN : 9798369317235

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Sustainable Development in AI, Blockchain, and E-Governance Applications by Kumar, Rajeev,Abdul Hamid, Abu Bakar,Binti Ya’akub, Noor Inayah,Sharan, Hari Om,Kumar, Sandeep Pdf

In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments. Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications.

Deep Learning Applications for Cyber Security

Author : Mamoun Alazab,MingJian Tang
Publisher : Springer
Page : 246 pages
File Size : 51,6 Mb
Release : 2019-08-14
Category : Computers
ISBN : 9783030130572

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Deep Learning Applications for Cyber Security by Mamoun Alazab,MingJian Tang Pdf

Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.

Big Data Privacy and Security in Smart Cities

Author : Richard Jiang,Ahmed Bouridane,Chang-Tsun Li,Danny Crookes,Said Boussakta,Feng Hao,Eran A. Edirisinghe
Publisher : Springer Nature
Page : 248 pages
File Size : 44,5 Mb
Release : 2022-09-08
Category : Computers
ISBN : 9783031044243

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Big Data Privacy and Security in Smart Cities by Richard Jiang,Ahmed Bouridane,Chang-Tsun Li,Danny Crookes,Said Boussakta,Feng Hao,Eran A. Edirisinghe Pdf

This book highlights recent advances in smart cities technologies, with a focus on new technologies such as biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security. During the past five years, digital cities have been emerging as a technology reality that will come to dominate the usual life of people, in either developed or developing countries. Particularly, with big data issues from smart cities, privacy and security have been a widely concerned matter due to its relevance and sensitivity extensively present in cybersecurity, healthcare, medical service, e-commercial, e-governance, mobile banking, e-finance, digital twins, and so on. These new topics rises up with the era of smart cities and mostly associate with public sectors, which are vital to the modern life of people. This volume summarizes the recent advances in addressing the challenges on big data privacy and security in smart cities and points out the future research direction around this new challenging topic.