Biography

is a dedicated academician in the domain of Computer Science with more than 14 years of teaching experience. She completed her Ph.D. in Computer Networks and has expertise in Network Security, Cryptography, and Distributed Systems. She has published numerous research papers in reputed journals and conferences. She has guided multiple undergraduate and postgraduate students in research projects. She actively participates in curriculum development and accreditation activities. She has organized workshops on cybersecurity and ethical hacking. She is a member of IEEE and other professional societies. Her research interests include blockchain security and secure communication systems. She has received awards for excellence in teaching. She is actively involved in mentoring students and organizing technical events. She contributes to research collaborations and knowledge dissemination. She is passionate about integrating theoretical and practical knowledge in her teaching approach.information, and erode public confidence in smart city technologies. For smart city settings, conventional cloud security techniques like rule-based firewalls and signature based intrusion detection systems are frequently insufficient. Because these techniques are static and have little flexibility, they usually fail to identify sophisticated multi-vector threats and zero-day attacks. Furthermore, real-time threat detection, scalability, and accuracy are subject to strict constraints due to the huge volume, velocity, and heterogeneity[3] of data created by smart city applications. Because of this, there is an increasing demand for intelligent security frameworks that can quickly react to new threats in cloud environments and dynamically understand intricate attack patterns.