You are using an outdated browser. Please upgrade your browser to improve your experience.
June 11, 2018: How do you protect your privacy in a world of 50 billion connected devices?
by Michelle Saport |
Public presentation: Opening Pandora's Box-Protecting Your Privacy in a World of 50 Billion Connected Devices Monday, June 11, 4:30-5:30 p.m. Engineering & Computation Building, Room 209
Abstract: As we become more connected and reliant on technology, our exposure to cybercriminals continues to grow. Our privacy is compromised in ways we previously never imagined. What does a world of 50 billion connected devices look like and how do we protect ourselves?
Machine learning will be key player to securing IoT in smart homes, wearable sensors and other connected devices. AI is specifically adept at finding and establishing patterns, especially when it's fed huge amounts of data. Luckily, data is something that we're never lacking of in IoT. The talk will go over the IoT Technology Stack, IoT Challenges, IoT Risks and Steps to Minimize those Risks. The session will also cover several concrete use cases where machine learning can help improve IoT security such as Network-based solutions and device based solutions.
Attendees will learn about:
- The obstacles involved in securing IoT devices & ways to overcome them;
- The importance of viewing the entire ecosystem;
- Practical advice that consumers can use to minimize the security risks of their smart, connected devices; and
- Current Mcafee product offerings in Space of Machine Learning and IoT.
Speaker biography Sherin Mathews is a senior data scientist within the Office of the CTO for McAfee. In this role, she creates and develops new machine-learning models to improve and increase the effectiveness of cybersecurity products. Sherin is a repeated and requested industry speaker on her research papers in areas of signal and image processing, machine learning, computer vision, artificial intelligence and cybersecurity. Prior to her role at McAfee, Sherin held research positions at Canon Inc. and Intel Corporation. Sherin has a BSEE degree, with honors, from the University of Mumbai and a M.S. in electrical and computer engineering, focused in signal processing and wireless communication, from State University of New York, College at Buffalo. Additionally Sherin has a MSEE in software engineering and signal processing and a Ph.D. in machine learning and signal processing from the University of Delaware. She is a past recipient of the University of Delaware Professional Development Award and received ninth place in the prestigious IEEE GRSS Data Fusion Contest. She has received numerous other awards for her outstanding performance across different projects and has several patents pending.
Free and open to the public. Hosted by the UAA Department of Computer Science & Engineering.