Vijayalakshmi Saravanan received her Ph.D. in Computer Science and Engineering under Erasmus Mundus Fellowship (EURECA) as research exchange student at Mälardalen University, Sweden and visiting researcher at Ryerson University, Canada. Currently working at Rochester Institute of Technology, USA. Prior to this, she was working as an Assistant Professor in Practice at the University of Texas, San Antonio (UTSA) in the Department of Computer Science. She was a Postdoctoral Associate at UB (University at Buffalo), The State University of New York, USA and University of Waterloo, Canada under the prestigious "Schlumberger Faculty for the Future" Fellowship award (2015-2017). She is having 10 years of teaching experience in two premier Universities VIT and Amrita Vishwa Vidyapeetham, India. Dr. Saravanan has published many technical articles in scholarly international journal and conferences. She is serving as the technical reviewer and program committee member for reputed conference & journals such as GHC, SIGCSE, and Springer. Her research interests include Power-Aware Processor Design, Big Data, IoT and Computer Architecture. She is a Senior Member of IEEE & ACM, CSI, Ex-Chair for IEEE-WIE VIT affinity group, India (2009-2015), NPA (National Postdoctoral Association) Annual Meetings committee, Workshop/IIA Co-Chair (2017-2019) and a Board member of N2WOMEN (Networking Networking Women).Alagan Anpalagan is a Professor in the Department of Electrical and Computer Engineering at Ryerson University where directs a research group working on radio resource management (RRM) and radio access & networking (RAN) areas within the WINCORE Lab. His current research interests include harvesting and green communications technologies, cognitive radio resource management, wireless cross layer design and optimization, cooperative communication, M2M communication, small cell networks. Dr. Anpalagan received BASc, MASc and PhD degrees at the University of Toronto, and also completed a course on Project Management for Scientist and Engineers at the University of Oxford CPD Center. He is the recipient of the Dean’s Teaching Award, Faculty Scholastic, Research and Creativity Award, Faculty Service Award in Ryerson University. Dr. Anpalagan is a registered Professional Engineer in the province of Ontario, Canada and Senior Member of IEEE and Fellow of the Institution of Engineering and Technology.T. Poongodi Completed Ph.D at Anna University, Chennai and currently working as an Associate Professor in Galgotias University, Greater Noida, Uttar Pradesh. She has 12 years of teaching experience in the field of computer science. Her area of interest lies in the field of Internet of Things, Big data and Networking. She has published more than 10 international journals and contributed book chapters.Firoz Khan received his PhD in Computer Science, British University in Dubai. He is currently working at British University in the Computer Science Department, Dubai. He authored many research papers, contributed chapters in journals, and edited books.

• 1. Basic Foundation of IoT and Big Data. 2. Security Model and Architecture for Big Data and IoT. 3. Security Technologies for Collecting, Sharing and Analysis of Big Data. 4. Intrusion Detection and Transmission Surveillance of IoT and Big Data. 5. Big Data and IoT Forensics. 6. Storage, System Security and Access Control for Big Data IoT. 7. Human Computer Interaction Challenges for Big Data and IoT Security. 8. Scalability and Auditing in Big Data and IoT Networks. 9. Cyber Threat Intelligence in Big Data and IoT Networks. 10. Internet of Things (IoT) Devices and Protocols Security. 11. Cross-Domain Trust Management in Smart Communities. 12. Cloud Computing-Based Security Solutions for IoT Data Analytics. 13. Security Challenges and Mitigation Approaches for Smart Cities. 14. Cyber-Attacks Detection and Prevention Systems for Big Data IoT Networks. 15. Interoperable Security for Urban Planning and Applications. 16. Ethics, Legal, and Social Considerations in IoT and Big Data Security. 17. Secure Integration of IoT and Cloud Computing 18. Secure Integration of IoT, Big Data and Social Networks. 19. Security and Privacy Preserving Data Mining and Aggregation in IoT Applications. 20. Sustainable Intrusion Detection, Prevention and Analysis for IoT Networks. 21. Big Data Malicious Programs Detection, Preservation and Analysis. 22. Privacy in IoT, Big Data Applications and Services.

Select Guide Rating