Digital Resilience Navigating Disruption And Safeguarding Data Privacy
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Digital Resilience Navigating Disruption And Safeguarding Data Privacy
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Author : Shishir Kumar Shandilya
language : en
Publisher: Springer Nature
Release Date : 2024-04-29
Digital Resilience Navigating Disruption And Safeguarding Data Privacy written by Shishir Kumar Shandilya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Technology & Engineering categories.
This book offers an in-depth overview of digital resilience, defined as the ability of individuals, organizations, and societies to adapt to and counter various digital threats such as cyberattacks, data breaches, and other forms of cyber threats. Digital resilience not only enables proactive measures but also ensures fault-tolerant planning and design. The book elaborates on the necessary techniques and methods to achieve digital resilience. Key methodologies, including quantum computing, post-quantum cryptography, nature-inspired cybersecurity, zero-trust systems, zero-knowledge proofs, multi-party computation, and the emerging field of space security, are discussed in detail. The book provides insights into artificial intelligence and machine learning, examining their impact on society and organizations. It critically analyses the role of cybersecurity in businesses, emphasizing its importance for safety and economic stability. In addition, the book discusses notable cyber incidents, offering valuable insights into digital resilience. It serves as a comprehensive compilation, featuring key terms, definitions, case studies, and references to existing literature and research in cybersecurity, analytics, information sciences, future computing, digital resilience, and related fields.
Navigating Cyber Threats And Cybersecurity In The Software Industry
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Author : Shah, Imdad Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Navigating Cyber Threats And Cybersecurity In The Software Industry written by Shah, Imdad Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Business & Economics categories.
Emerging technologies present rising concerns for the software industry as cybersecurity threats continue to evolve. It is a priority for various industries and businesses to safeguard data for privacy and security reasons. Generative artificial intelligence (GAI) and machine learning (ML) approaches are revolutionizing the software industry by informing cybersecurity protocols, coding practices, and cybersecurity frameworks. With these new technologies, it is becoming even more vital to identify software vulnerabilities and enhance post-attack recoveries. Navigating Cyber Threats and Cybersecurity in the Software Industry discusses the use of emerging technologies, such as GAI and ML, for creating software that is more resilient towards security threats. This book is important for transforming cybersecurity to allow industries and business to safeguard the privacy and security of their data while considering the ethical and legal implications. Covering topics such as healthcare security, risk management, and DNA computing, this book is an excellent resource for software professionals, industry professionals, researchers, scholars, academicians, and more.
Organizational Readiness And Research Security Management And Decision Making
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Author : Burrell, Darrell Norman
language : en
Publisher: IGI Global
Release Date : 2024-12-02
Organizational Readiness And Research Security Management And Decision Making written by Burrell, Darrell Norman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Business & Economics categories.
Organizational readiness for research includes the convergence of security, management, and decision-making processes to enable effective and efficient operations. As organizations engage in data-driven initiatives, understanding the security implications of their research activities becomes necessary. Effective management strategies align resources and capabilities, fostering a culture that prioritizes innovation and safety. Informed decision-making is pivotal when navigating the complexities of organizational readiness, ensuring that research endeavors meet compliance standards while advancing strategic goals. Further research is necessary to enhance an organization’s ability to adapt and thrive in today’s evolving business landscape. Organizational Readiness and Research: Security, Management, and Decision Making explores organizational research into security, management, and decision-making techniques and practices. Through intelligent technologies, the book examines how organizations may gain competitive advantage and increase capital within their sectors. This book covers topics such as network security, artificial intelligence, and organizational development, and is a useful resource for business owners, government officials, policymakers, security professionals, academicians, and researchers.
Challenges And Solutions For Cybersecurity And Adversarial Machine Learning
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Author : Ul Rehman, Shafiq
language : en
Publisher: IGI Global
Release Date : 2025-06-06
Challenges And Solutions For Cybersecurity And Adversarial Machine Learning written by Ul Rehman, Shafiq and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
Adversarial machine learning poses a threat to cybersecurity by exploiting vulnerabilities in AI models through manipulated inputs. These attacks can cause systems in healthcare, finance, and autonomous vehicles to make dangerous or misleading decisions. A major challenge lies in detecting these small issues and defending learning models and organizational data without sacrificing performance. Ongoing research and cross-sector collaboration are essential to develop robust, ethical, and secure machine learning systems. Further research may reveal better solutions to converge cyber technology, security, and machine learning tools. Challenges and Solutions for Cybersecurity and Adversarial Machine Learning explores adversarial machine learning and deep learning within cybersecurity. It examines foundational knowledge, highlights vulnerabilities and threats, and proposes cutting-edge solutions to counteract adversarial attacks on AI systems. This book covers topics such as data privacy, federated learning, and threat detection, and is a useful resource for business owners, computer engineers, security professionals, academicians, researchers, and data scientists.
Exploiting Machine Learning For Robust Security
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Author : Minakshi
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Exploiting Machine Learning For Robust Security written by Minakshi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
In the digital world, ensuring robust security is critical as cyber threats become more sophisticated and pervasive. Machine learning can be used to strengthen cybersecurity and offer dynamic solutions that can identify, predict, and mitigate potential risks with unprecedented accuracy. By analyzing vast amounts of data, detecting patterns, and adapting to evolving threats, machine learning enables security systems to autonomously respond to anomalies and protect sensitive information in real-time. As technology advances, the integration of machine learning into security systems represents a critical step towards creating adaptive protection against the complex challenges of modern cybersecurity. Further research into the potential of machine learning in enhancing security protocols may highlight its ability to prevent cyberattacks, detect vulnerabilities, and ensure resilient defenses. Exploiting Machine Learning for Robust Security explores the world of machine learning, discussing the darknet of threat detection and vulnerability assessment, malware analysis, and predictive security analysis. Using case studies, it explores machine learning for threat detection and bolstered online defenses. This book covers topics such as anomaly detection, threat intelligence, and machine learning, and is a useful resource for engineers, security professionals, computer scientists, academicians, and researchers.
Ai Policy And The Future Of Human Centered Education
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Author : Asrifan, Andi
language : en
Publisher: IGI Global
Release Date : 2025-07-16
Ai Policy And The Future Of Human Centered Education written by Asrifan, Andi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-16 with Education categories.
As AI becomes more integrated in teaching there is a pressing need for educational systems to remain rooted in human centered values. Policy frameworks play a pivotal role in guiding the ethical deployment of AI, safeguarding learner autonomy, and promoting meaningful human engagement in education. By exploring how thoughtful policy design can harmonize technological advancement with pedagogical integrity, educators can ensure that AI supports the human elements essential to transformative learning. AI, Policy, and the Future of Human-Centered Education explores how AI has revolutionized curriculum. This book addresses AI in higher education, providing a basis for studying how technology might improve learning outcomes, stimulate innovation, and solve social problems. Covering topics such as policy, education, and AI, this book is an excellent resource for university professors, lecturers, academic leaders, researchers, policymakers, and more.
Sustainable Smart Cities And The Future Of Urban Development
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Author : Al-Humairi, Safaa Najah Saud
language : en
Publisher: IGI Global
Release Date : 2024-12-05
Sustainable Smart Cities And The Future Of Urban Development written by Al-Humairi, Safaa Najah Saud and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Political Science categories.
As global urbanization continues to accelerate, smart cities emerge as a strategy to address the complexities of modern urban life. These cities invest in human and social capital, communication, infrastructure, and technology to drive sustainable economic growth and ensure a high quality of life. Participatory governance plays a crucial role in managing natural and man-made resources effectively. Driven by a growing global population and a pressing need to address environmental concerns, the concept of a “smart city” has emerged as a potential solution. Sustainable Smart Cities and the Future of Urban Development delves into the exciting intersection of sustainable development and smart city technologies, exploring how these forces can be harnessed to shape a more livable and resilient future for our urban environments. Through a multidisciplinary lens, this book explores the concept of sustainable smart cities by elucidating their fundamental characteristics and components. Covering topics such as artificial intelligence (AI), renewable energy, and waste management, this book is an excellent resource for urban planners, architects, technology developers, innovators, community leaders, industry professionals, academicians, researchers, and more.
Swarm Intelligence
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-12-29
Swarm Intelligence written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Technology & Engineering categories.
Unlock the world of "Swarm Intelligence," where robotics, artificial intelligence, and evolutionary computation converge. This book is essential for professionals, students, and enthusiasts eager to explore the cuttingedge methods transforming the future of robotics. Gain insights into natureinspired algorithms and how they optimize problemsolving across diverse fields. Whether you're pursuing a career in robotics or just passionate about intelligent systems, this book bridges theory and practice. Chapters Brief Overview: 1: Swarm intelligence: Introduces the concept of collective behavior in decentralized systems, vital for understanding multiagent robotics. 2: Genetic algorithm: Explores evolutionary principles applied to problemsolving, a cornerstone of optimization techniques in robotics. 3: Evolutionary algorithm: Delves into the evolution of algorithms to improve solutions iteratively, crucial for autonomous robotic systems. 4: Swarm behaviour: Investigates how swarm systems operate and collaborate, essential for creating responsive robotic networks. 5: Evolutionary computation: Highlights computational strategies inspired by biological evolution, enhancing robotic adaptability. 6: Particle swarm optimization: Introduces a populationbased method inspired by natural systems, ideal for solving complex optimization problems in robotics. 7: Boids: Discusses flocking algorithms for simulating natural group behaviors, influencing swarm robotics for coordinated movement. 8: Ant colony optimization algorithms: Shows how ants’ foraging behavior provides a framework for solving routing and optimization problems in robotic navigation. 9: Metaheuristic: Explores highlevel problemsolving strategies, expanding robotics capabilities by refining optimization processes. 10: Marco Dorigo: Focuses on the work of Marco Dorigo, pioneering research in swarm intelligence, a key influence in robotics evolution. 11: Computational intelligence: Examines AI's role in robotics, demonstrating how computational techniques empower robots to think and learn autonomously. 12: Stochastic diffusion search: Introduces random search strategies for optimization, an essential tool for autonomous decisionmaking in robotics. 13: Ant robotics: Explores the application of ant colony optimization in robotic systems, emphasizing efficiency in swarm robotics. 14: Firefly algorithm: Unveils the fireflyinspired optimization algorithm, showing its potential in dynamic and realtime robotic control. 15: Metaoptimization: Delves into improving optimization algorithms themselves, crucial for enhancing the performance of robotic systems. 16: Fly algorithm: Focuses on a bioinspired optimization algorithm, expanding the toolkit for solving complex robotic control tasks. 17: Table of metaheuristics: Provides a comprehensive reference to metaheuristic algorithms, a key resource for optimizing robotic systems. 18: Maurice Clerc (mathematician): Highlights the contributions of Maurice Clerc, deepening the understanding of particle swarm optimization’s role in robotics. 19: Atulya Nagar: Focuses on Atulya Nagar's work in computational intelligence, exploring its relevance to robotic decisionmaking and adaptability. 20: Genetic programming: Introduces genetic programming as a way to evolve solutions for robotic systems, paving the way for autonomous development. 21: Neuroevolution of augmenting topologies: Explores how neuroevolution helps optimize neural networks for complex robotic tasks, a cuttingedge area in robotics research.
Quantum Computing And Supply Chain Management A New Era Of Optimization
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Author : Hassan, Ahdi
language : en
Publisher: IGI Global
Release Date : 2024-07-23
Quantum Computing And Supply Chain Management A New Era Of Optimization written by Hassan, Ahdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-23 with Computers categories.
Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time order fulfillment and inventory management. With the expansion and diversification of supply chain networks, these engines require additional support to handle the growing complexity effectively. This poses a significant challenge for supply chain professionals who must find efficient and cost-effective solutions to streamline their operations and promptly meet customer demands. Quantum Computing and Supply Chain Management: A New Era of Optimization offers a transformative solution to these challenges. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computing's ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. It provides a theoretical framework and practical examples to illustrate how quantum algorithms can enhance transparency, optimize dynamic inventory allocation, and improve supply chain resilience.
Cases On Ai Innovations In Occupational Health And Safety
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Author : Chadyiwa, Martha
language : en
Publisher: IGI Global
Release Date : 2025-06-06
Cases On Ai Innovations In Occupational Health And Safety written by Chadyiwa, Martha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Business & Economics categories.
Hazards are a significant concern to businesses, including handling heavy or biomedical materials and machine operation. Innovations in occupational health and safety may prevent injuries and accidents and increase the physical health of the employees. Artificial intelligence (AI) tools may increase workplace safety by offering real-time monitoring technologies and safety hazard prediction. Consequently, costs associated with incidents may be decreased and working conditions may improve, enhancing the well-being of employees. Cases on AI Innovations in Occupational Health and Safety explores applications of intelligent technology in the field of occupational health and safety. It provides real-life examples on how risk management and hazard prevention have been reshaped by AI and machine learning technologies. Covering topics such as bio-risk management, long short-term memory (LSTM), and urban informal vendors, this book is an excellent resource for safety policymakers, technology innovators, consultants, safety practitioners, business managers, professionals, researchers, academicians, and more.