Developing Ai, Iot and Cloud Computing Based Tools and Applications for Women's Safety

Developing Ai, Iot and Cloud Computing Based Tools and Applications for Women's Safety
Author :
Publisher :
Total Pages : 0
Release :
ISBN-10 : 1003538177
ISBN-13 : 9781003538172
Rating : 4/5 (77 Downloads)

Synopsis Developing Ai, Iot and Cloud Computing Based Tools and Applications for Women's Safety by :

"In a world increasingly driven by technology, this book explores the intersection of artificial intelligence (AI), IoT and Cloud Computing and women's safety, highlighting the transformative potential of technology in safeguarding women's well-being in the physical and the digital world. As the safety and security industry embraces technological advancements, the need for inclusive and gender-centric solutions has become increasingly evident. This reference book delves into this critical area, showcasing the development of AI, IoT, and Cloud applications specifically tailored to address the unique safety challenges faced by women. Provides a comprehensive exploration of how AI and related technologies are reshaping the future of women's safety Emphases the utilization of AI to tackle the specific challenges women encounter in various contexts Introduces innovative solutions such as wearable technology, AI-powered surveillance systems, and mobile applications designed for emergency responses Discusses ethical implications of deploying technology for personal security and navigates the evolving legal landscape surrounding data privacy Bridges the gap between theoretical discussions and practical implementations, offering a guide to developing technology for the improvement of women's safety It is an invaluable resource for professionals and researchers interested in the transformative role of AI, IoT, and Cloud in shaping the future of women's safety"--

Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety

Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety
Author :
Publisher : CRC Press
Total Pages : 274
Release :
ISBN-10 : 9781040223604
ISBN-13 : 1040223605
Rating : 4/5 (04 Downloads)

Synopsis Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety by : Parul Dubey

In a world increasingly driven by technology, this book explores the intersection of artificial intelligence (AI), IoT, and Cloud Computing and women's safety, highlighting the transformative potential of technology in safeguarding women's well-being in the physical and the digital world. As the safety and security industry embraces technological advancements, the need for inclusive and gender-centric solutions has become increasingly evident. This reference book delves into this critical area, showcasing the development of AI, IoT, and Cloud applications specifically tailored to address the unique safety challenges faced by women. • Provides a comprehensive exploration of how AI and related technologies are reshaping the future of women's safety. • Emphases the utilisation of AI to tackle the specific challenges women encounter in various contexts. • Introduces innovative solutions such as wearable technology, AI-powered surveillance systems, and mobile applications designed for emergency responses. • Discusses ethical implications of deploying technology for personal security and navigates the evolving legal landscape surrounding data privacy. • Bridges the gap between theoretical discussions and practical implementations, offering a guide to developing technology for the improvement of women's safety. It is an invaluable resource for professionals and researchers interested in the transformative role of AI, IoT, and Cloud in shaping the future of women's safety.

AI Tools and Applications for Women’s Safety

AI Tools and Applications for Women’s Safety
Author :
Publisher : IGI Global
Total Pages : 386
Release :
ISBN-10 : 9798369314364
ISBN-13 :
Rating : 4/5 (64 Downloads)

Synopsis AI Tools and Applications for Women’s Safety by : Ponnusamy, Sivaram

In an era marked by rapid technological progress, women's safety remains a pressing concern despite strides toward gender equality. Women continue to grapple with safety challenges in both public and private spaces, enduring harassment, violence, and discrimination driven by entrenched societal norms and modern complexities. Amidst these challenges, harnessing the potential of artificial intelligence (AI) emerges as a promising avenue to reshape the landscape of women's safety. The groundbreaking book, AI Tools and Applications for Women’s Safety, curated by experts Sivaram Ponnusamy, Vibha Bora, Prema Daigavane, and Sampada Wazalwar, delves into the transformative power of AI to address the daily safety concerns women face. This timely volume explores innovative AI-driven resources and applications that redefine personal security, offering tailored protection through real-time threat assessment and emergency response coordination. With comprehensive insights spanning academia, law enforcement, policymaking, and advocacy, this book covers predictive safety analytics, smart surveillance, ethical considerations, and more. AI Tools and Applications for Women’s Safety not only sheds light on the promise of AI but also paves the way for informed discourse and meaningful action, ushering in a future defined by women's empowerment and security.

Impact of AI on Advancing Women's Safety

Impact of AI on Advancing Women's Safety
Author :
Publisher : IGI Global
Total Pages : 340
Release :
ISBN-10 : 9798369326800
ISBN-13 :
Rating : 4/5 (00 Downloads)

Synopsis Impact of AI on Advancing Women's Safety by : Ponnusamy, Sivaram

Women encounter multifaceted threats, ranging from personal safety hazards to discrimination deeply embedded in societal structures. The existing landscape demands innovative strategies to ensure women can participate fully in society without fear or impediment. Traditional systems often fall short, necessitating a paradigm shift in our approach to women's safety. Impact of AI on Advancing Women's Safety emerges as a groundbreaking solution to address the pervasive challenges they face. From the shadows of harassment to systemic biases in justice systems, women navigate a complex landscape. This book delves into the pressing issues, unveiling a visionary approach that leverages artificial intelligence to create tangible, transformative solutions.

Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing

Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing
Author :
Publisher : IGI Global
Total Pages : 352
Release :
ISBN-10 : 9798369334072
ISBN-13 :
Rating : 4/5 (72 Downloads)

Synopsis Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing by : Ponnusamy, Sivaram

In a world where the safety of women remains a pressing issue, the intersection of artificial intelligence (AI) and emerging technologies is a motivating force. Despite strides toward gender equality, women continue to face threats, harassment, and violence, necessitating innovative solutions. Traditional approaches fall short of providing comprehensive protection, prompting the exploration of innovative technologies to address these challenges effectively. Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing emerges as a timely and indispensable solution to the persistent safety issues faced by women globally. This persuasive book not only articulates the problems women encounter but also presents groundbreaking solutions that harness the transformative potential of AI. It delves into the intricate ways AI applications, from mobile safety apps to predictive analytics, can be strategically employed to create a safer and more inclusive society for women.

Emerging Technologies for Securing the Cloud and IoT

Emerging Technologies for Securing the Cloud and IoT
Author :
Publisher : IGI Global
Total Pages : 385
Release :
ISBN-10 : 9798369307670
ISBN-13 :
Rating : 4/5 (70 Downloads)

Synopsis Emerging Technologies for Securing the Cloud and IoT by : Ahmed Nacer, Amina

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.

Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs)

Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs)
Author :
Publisher : IGI Global
Total Pages : 437
Release :
ISBN-10 : 9798369335987
ISBN-13 :
Rating : 4/5 (87 Downloads)

Synopsis Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs) by : Ponnusamy, Sivaram

As the demand for data security intensifies, the vulnerabilities become glaring, exposing sensitive information to potential threats. In this tumultuous landscape, Generative Adversarial Networks (GANs) emerge as a groundbreaking solution, transcending their initial role as image generators to become indispensable guardians of data security. Within the pages of Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs), readers are guided through the intricate world of GANs, unraveling their unique design and dynamic adversarial training. The book presents GANs not merely as a technical marvel but as a strategic asset for organizations, offering a comprehensive solution to fortify cybersecurity, protect data privacy, and mitigate the risks associated with evolving cyber threats. It navigates the ethical considerations surrounding GANs, emphasizing the delicate balance between technological advancement and responsible use.

Machine Learning Techniques and Analytics for Cloud Security

Machine Learning Techniques and Analytics for Cloud Security
Author :
Publisher : John Wiley & Sons
Total Pages : 484
Release :
ISBN-10 : 9781119762256
ISBN-13 : 1119762251
Rating : 4/5 (56 Downloads)

Synopsis Machine Learning Techniques and Analytics for Cloud Security by : Rajdeep Chakraborty

MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Audience Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.

Integration of IoT with Cloud Computing for Smart Applications

Integration of IoT with Cloud Computing for Smart Applications
Author :
Publisher : CRC Press
Total Pages : 267
Release :
ISBN-10 : 9781000906097
ISBN-13 : 1000906094
Rating : 4/5 (97 Downloads)

Synopsis Integration of IoT with Cloud Computing for Smart Applications by : Rohit Anand

Integration of IoT with Cloud Computing for Smart Applications provides an integrative overview of the Internet of Things (IoT) and cloud computing to be used for the various futuristic and intelligent applications. The aim of this book is to integrate IoT and cloud computing to translate ordinary resources into smart things. Discussions in this book include a broad and integrated perspective on the collaboration, security, growth of cloud infrastructure, and real-time data monitoring. Features: Presents an integrated approach to solve the problems related to security, reliability, and energy consumption. Explains a unique approach to discuss the research challenges and opportunities in the field of IoT and cloud computing. Discusses a novel approach for smart agriculture, smart healthcare systems, smart cities and many other modern systems based on machine learning, artificial intelligence, and big data, etc. Information presented in a simplified way for students, researchers, academicians and scientists, business innovators and entrepreneurs, management professionals and practitioners. This book can be great reference for graduate and postgraduate students, researchers, and academicians working in the field of computer science, cloud computing, artificial intelligence, etc.

AI-Enabled Threat Detection and Security Analysis for Industrial IoT

AI-Enabled Threat Detection and Security Analysis for Industrial IoT
Author :
Publisher : Springer Nature
Total Pages : 250
Release :
ISBN-10 : 9783030766139
ISBN-13 : 3030766136
Rating : 4/5 (39 Downloads)

Synopsis AI-Enabled Threat Detection and Security Analysis for Industrial IoT by : Hadis Karimipour

This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications. Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniques including deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well. Researchers and professionals working in computer security with an emphasis on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.