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

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.

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.

1. Introduction to the Integration of AI, IOT, and Cloud Computation for Social Welfare 2. AI, IoT and Cloud Overview with respect to Women's Safety 3. A Comprehensive Review of Addressing Women's Safety Concerns through an Integrated AI, IoT, and Cloud Computing Approach 4. Secure Women Safety Platform using Ethereum Blockchain 5. Personal Security through Wearable Technology 6. Emergency Response Mobile Apps 7. Boosting Emergency Management: Leveraging Mobile Apps for Rapid Response to Crises 8. Artificial Intelligence, IoT and Cloud in Transportation Safety 9. Cyber security for Personal Data 10. A lightweight fast four Q Key Generation for Embedded Devices on Women Safety 11. Navigating Legal and Ethical Dimensions in AI, IoT, and Cloud Solutions for Women's Safety 12. Participation in the Community and Education 13. Breaking boundaries: AI safeguards for women and transgender Individuals 14. Empowering Safety Through Innovation: Understanding the Role of Technology in Women's Safety 15. Successful Implementations: Case studies