Using Cognitive Machine Learning to Build Safe and Secure Internet of Things Devices

Internet of Things devices, fueled by advancements in Artificial Intelligence (AI) and 5G, use sensors, processors, and communication devices to monitor and adapt to their operating environment. While experts opine that the IoT market is poised to grow at fast rates, there is a general agreement that such devices are prone to attacks, thereby impacting the safety and security of its operation. State of the art techniques have limited problem solving and resiliency skills as they are based on either exploiting the environment using historical data or by exploring the system for new observations. Due to this, they have limited cognitive capabilities of analysis, evaluation, and creation. This talk will discuss how we aim to address such challenges by adding increased levels of autonomy to IoT. This talk will cover novel strategies and methodologies to add increased cognitive capabilities to such systems, thereby making the system resilient against changes in the environment. The talk describes how one can build embedded AI agents (autonomous entities which sense, decide, and act upon an environment) using continuous data monitoring and adaptive response techniques. Since IoT represents an inherently interdisciplinary domain, this talk takes a holistic approach by developing a novel strategy and methodology to add increased cognitive capabilities to IoT. Such a cognitive IoT network have the capability to learn from a collaborative network of humans and machines, thereby making it safe and secure against disruptions in the environment.

SPEAKER BIO

Dr Heena Rathore is an Assistant Professor of Practice at the University of Texas, San Antonio. She also worked as a Research Scientist and Program Manager at Hiller Measurements and previously as a postdoctoral researcher for US-Qatar Joint Collaborative Project between Temple University, USA, University of Idaho, USA and Qatar University. Also, she was a visiting scholar for Wichita State University. She received her Ph.D. (with distinction) in Computer Science and Engineering Department while she was a Tata Consultancy Services Research Scholar at Indian Institute of Technology, India. She has been the winner of several prestigious awards including Educationist Empowering India, IEEE Outstanding Individual Award, IEEE Achievements Award, Young Engineer Award, Global Engineering Impact Award and Graphical System Design Achievement Award. She has published more than 60 papers.