Innovations in Data Analytics

Dr. Abhishek Bhattacharya is  Professor at Sister Nivedita University, India. He has completed his Ph.D (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are Data Mining, Cyber security and Mobile Computing. He has published 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. He has 3 Book Chapters in Taylor & Francis Group EAI. He is a peer reviewer and TPC member in different international journals. He was the editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, CIIR 2024, ICDMIS 2024. He is the member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. He has published 3 patents and 20 books.Dr. Soumi Dutta is a Professor at Sister Nivedita University (SNU) at New Town, Kolkata, India. She has completed her Ph.D. (CST), IIEST, Shibpur. She received her B.Tech. (IT) and M.Tech. (CSE) securing 1st position (Gold medalist) from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020, and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social Media Analysis, and Image Processing. She has published more than 100 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She has 40 Books in Springer, Elsevier, Taylor & Francis Group and IGI Global. She is a peer reviewer and TPC member in different international journals. She is an active member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. She has published 11 patents and 1 copyright. Dr. Amlan Chakrabarti is a professor and the director of the A. K. Choudhury School of Information Technology at the University of Calcutta. He is also the former dean, faculty of Engineering and Technology of his University during (2016–2019). He completed M.Tech. from the University of Calcutta (2001) and did Ph.D. from the same University in association with ISI, Kolkata (2010). He was a post-doctoral fellow at the School of Engineering, Princeton University, USA during 2011-2012. He has almost 20 years of experience in Engineering Education and Research. He received the DST BOYSCAST fellowship award in Engineering Science (2011), Indian National Science Academy (INSA) Visiting Faculty Fellowship (2014), JSPS Invitation Research Award (2016), Erasmus Mundus Leaders Award (2017), Hamied Visiting Professorship from University of Cambridge, UK (2018), Siksha Ratna Award by Department of Higher Education Government of West Bengal (2018) and IBM Quantum Researchers Access Award in 2021.Dr Thinagaran Perumal is the recipient of 2014 Early Career Award from IEEE Consumer Electronics Society for his pioneering contribution in the field of consumer electronics. He completed his Ph.D. at Universiti Putra Malaysia, in the area of smart technology and robotics. He is currently an associate professor attached with Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia. He is also currently appointed as the chair of IEEE Consumer Electronics Society Malaysia Chapter. His research interests are towards interoperability aspects of smart homes and Internet of Things (IoT), activity recognition for ambient intelligence and cyber-physical systems.

• Adversarial Attacks on CTI Machine Learning Models: Threat And Defence Under Legal Framework.- AI in Cybercrime Investigations: A Legal-Ethical Assessment of Modern Policing Tools.- Intrusion Detection and Scan Type Classification Using PCA-XGBoost on Time-Series Network Logs.- Multi-Level Protection Framework in Network Topologies.- Transforming 5G Era Impact on E-Commerce and Digital Marketing Strategies with Opportunities and Challenges.- A Review: Detection of Phishing Website Using Machine Learning Algorithms.- Cloud-Integrated Stealth Network Scanning for Vulnerability Assessment Using GoScan and ARP Tracking.- Towards Robust Intrusion Detection in Wireless Sensor Networks: Experimental Analysis Using WSN-BFSF Dataset.- Facial Recognition Based Secured Cloud Voting System Using YOLOv8 Model and DeepFace Framework.- Detection and Comparison of Cyber-Attacks using Modern Machine Learning Techniques.