Md Shahrear Iqbal
School of Computing,
Queen’s University, Kingston, Canada

Secure Context Detection in Smartphones

Time & Date: 5:30 pm–6:30 pm, Thursday, February 16th, 2017
Location: EME 1151, UBC, Okanagan Campus, Kelowna, BC

Talk Abstract: The availability of powerful smartphones and the necessity of security in mobile devices have made researchers propose multiple security modes (e.g., home, office, outdoor, and financial) for such devices. In each mode, a user can install a different set of apps. However, in most of the cases, the user has to select the mode manually. If we can sense the smartphone’s security context accurately, then it is possible to switch between different security modes automatically. Also, smartphone operating systems are becoming ubiquitous. As a result, mobile apps need to behave differently based on the security context (e.g., not sending the data if the network is insecure). In this talk, we focus on sensing different security parameters (e.g., location, is-network-encrypted) and calculating the security context from the parameters. We also talk about a security context management framework that maintains a cache of security contexts and parameters to be used by the operating system and third-party applications. As detecting contexts requires the use of power-hungry smartphone sensors, a comprehensive framework for sharing security parameters among various applications can be beneficial in terms of energy and other resource expenses.

Speaker Biography: Md Shahrear Iqbal is a Ph.D. candidate in the School of Computing, Queen’s University,Canada, where he is a member of the Queen’s Reliable Software Technology (QRST) research group. He also holds a faculty position in the Department of Computer Science and Engineering (CSE) in Bangladesh University of Engineering and Technology (BUET), Bangladesh. He is currently doing research on the security of smart devices. He is also interested in future internet and cyber-security of smart cities. He obtained his Bachelor’s and Master’s degree in CSE from BUET. More information about his research and publications can be found at http://www.cs.queensu.ca/~iqbal.

For further information please contact: Dr. Md. Jahangir Hossain (jahangir.hossain@ubc.ca) and
Youry Khmelevsky (email: youry@ieee.org)
Registration is open now: https://events.vtools.ieee.org/m/43547
Refreshments will be provided

Paige Tyler and Tim Sayler
Computer Science, Okanagan College

Machine Learning Workshop

Time & Date: 1:30 pm–4 pm, Thursday, February 2nd, 2017
and
Time & Date: 4:30 pm–7 pm, Thursday, February 2nd, 2017 (evening session)
Location: E107, Okanagan College, 1000 KLO Rd., Kelowna, BC V1Y 4X8

Talk Abstract: Machine learning is a category of computer science that involves the prediction of data based on the observation of patterns in previously gathered data. Microsoft has recently released Azure, a cloud computing service that makes machine learning algorithms available building, deploying and managing applications through Microsoft data centers. This workshop will start off with an overview of machine learning and its algorithms. We will then guide you on the basics of building and deploying some simple experiments and then break you off into groups to attempt your own experiments.

A representative from Microsoft Vancouver will participate in workshop.

What to Bring: a laptop

Speaker Biographies:
Paige Tyler is a second year student in the Computer Information Systems degree at the Okanagan College with an interest in machine learning. She has spent some time exploring Microsoft’s Azure Machine Learning service as a research assistant.

Tim Sayler is a third-year student studying in the degree program of Computer Information Systems at Okanagan College. His primary focus is software engineering, as well as machine learning and collaborating in an agile team environment. He has over 10 years of previous industry experience and works as a research assistant while attending Okanagan College.

Registration is open now: https://events.vtools.ieee.org/m/42254
Pizza will be provided after the talk. For further information please contact:
Youry Khmelevsky (email: youryNOSPAM@ieee.org)