1st Edition

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

    272 Pages 52 B/W Illustrations
    by Chapman & Hall

    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.

    1. Introduction to the Integration of AI, IOT, and Cloud Computation for Social Welfare

    Palak Keshwani

    Hitesh Gehani

    Pratik K Agrawal

    2. AI, IoT and Cloud Overview with respect to Women's Safety

    Thangam S.

    Kevansh Reddy

    K Kushal

    Madhav Manoj

    3. A Comprehensive Review of Addressing Women's Safety Concerns through an Integrated AI, IoT, and Cloud Computing Approach

    Pratibha Singh

    Alok Kumar Singh Kushwaha

    4. Secure Women Safety Platform using Ethereum Blockchain

    Shinu M Rajagopal

    Supriya M

    Rajkumar Buyya

    5. Personal Security through Wearable Technology

    Mamta

    6. Emergency Response Mobile Apps

    Parul Dubey

    Pushpa Birha

    Rahul Vinayak Bambodkar

    7. Boosting Emergency Management: Leveraging Mobile Apps for Rapid Response to Crises

    Rajendra Kumar

    Manas Rathore

    Chandra Kumar Sahu

    Praveen Kumar Yadaw

    Soma Rajwade

     

    8. Artificial Intelligence, IoT and Cloud in Transportation Safety

    Minakshi Ramteke

    Shashank Borikar

    Shivraj Guduri

    Sujal Raut

     

    9. Cyber security for Personal Data

    Rakesh Nayak

    Amit jain

    Monika Saxena

    Roopesh Kumar

     

    10. A lightweight fast four Q Key Generation for Embedded Devices on Women Safety

    Suryya Farhat

       Manoj Kumar

     Anshul Srivastava

    Arti Vaish

     

    11. Navigating Legal and Ethical Dimensions in AI, IoT, and Cloud Solutions for Women's Safety

    Priyanka Prabhakar

    Peeta Basa Pati

    Shantipriya Parida

     12. Participation in the Community and Education

    Devanand Bhonsle

    Anu G Pillai

    Ruhi Uzma Sheikh

    Sapna Singh Kshatri

    Tanu Rizvi

    Manjushree Nayak

    13. Breaking boundaries: AI safeguards for women and transgender Individuals

    Araya Tripathi

    Parul Dubey

    14. Empowering Safety Through Innovation: Understanding the Role of Technology in Women's Safety

    Kailash Kumar Sahu

    Pushkar Dubey

    15. Successful Implementations: Case studies

    Parul Dubey

    Ajinkya Tamhankar  

    Biswajeet Mallick

    Biography

    Mrs Parul Dubey is currently working as an Assistant Professor in AI Department, G H Raisoni College of Engineering, Nagpur, India. Authors highest degree is the degree of Masters in Computer Engineering. She is also a PhD. Research scholar in Computer Science and Engineering at C.V. Raman University, Bilaspur, Chhattisgarh, India. She has good academic and research experience in various areas of CSE and IT. She has an experience of five years. She is indulged in research activities which includes book chapters, books, conference papers and journal articles as well. She has 17 Indian published patents and 1 Indian Granted patent. She holds around 25 publications which are part of conferences, scopus and other journals as well. Author is an AWS Certified Cloud Practitioner badge holder, which is a proof for the expertise in AWS. Currently guiding many Engineering students to learn the AWS platform and complete their projects. She is currently working on three authored book approved proposals from international publishers. She is also an editor of two of these books.

    Dr. Gurpreet Singh Chhabra (Ph.D. CSE) has 16 years of teaching experience and is currently working as an Assistant Professor in the Computer Science & Engineering department at GITAM School of Technology, GITAM Deemed to be University, Visakhapatnam. He has research interests in Deep Learning, Machine Learning, Data Science, and Fog Computing field. He is a life member of the ISTE (Indian Society for Technical Education) and IAENG (International Association of Engineers). Also, He claims credit for many articles in international journals, book chapters, books, and patents.

    Dr. Bui Thanh Hung, received his M.S. degree and Ph.D. degree from Japan Advanced Institute of Science and Technology (JAIST) in 2010 and in 2013.He was the Director of Data Analysis Artificial Intelligence Laboratory– DAAI Lab, Thu Dau Mot university (2018-2021); Director of Artificial Intelligence Laboratory –AI Lab, Faculty of Information Technology, Ton Duc Thang University (2021-2022).Now He work for Data Science Laboratory, Data Science Department, Faculty of Information Technology, Industrial University of Ho Chi Minh city. He has completed 2 projects, published 2 books, 22 journals, 22 book chapters, 39 International conference papers and 16 domestic conference papers. He has received four best paper awards of FICTA 2018, RICE 2020, ICAIAA 2021 and CIEMA 2022. He was selected as Excellent Scientific Researcher of Thu Dau Mot University in 2019, 2020, 2021; and got CIEMA Research Excellence Awards 2022.He is a reviewer of many reputed journals and conferences. He has also been a keynote speaker of many domestic and international conferences. His main research interests are Natural Language Processing, Machine Learning, Machine Translation, Text Processing, Data Analytics, Computer Vision and Artificial Intelligence.

    Dr. Umashankar Ghugar earned his full-time doctoral degree from Berhampur University, Odisha in 2021, and his M.Tech degree in Computer Science from Fakir Mohan University, Balasore in 2012. and his B.E degree in IT from Utkal University in 2006. He has 10 years of teaching experience in different organizations and is currently working as an Assistant Professor in the School of Technology, Department of CSE at GITAM University, Visakhapatnam. He has published 14 articles in international journals. His research interests are in Computer Networks, Network Security in WSN. He is a Reviewer of multiple international journals and also a member of IEEE, IACSIT, CSTA, and IRED.