Skip to main content
COVID-19 information and screening Learn how we’re keeping our campus community safe, healthy and engaged during our gradual return to campus.
Note: Faculty, staff, students and visitors must complete the mandatory screening questionnaire before coming to campus.
Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

Computer Science Seminar (Oct. 5, 2016)

Title: Efficient and Privacy-preserving Smart Grid Downlink Communication Using Identity Based Signcryption

Speaker: Khalid Alharbi, PhD Candidate, Computer Science, University of Ontario Institute of Technology

Abstract: In this talk, we propose an efficient and privacy-preserving scheme for smart grid downlink communication. Specifically, we propose an efficient identity based signcryption, called EIBSC, providing privacy preservation in downlink communication for smart grids. The proposed scheme is characterized by employing the concealing destination technique on the tree-based network to protect consumer privacy in downlink communication. Moreover, the proposed scheme employs identity based signcryption to efficiently achieve downlink message source authentication, data integrity and encryption. Additionally, compared to other identity-based signcryption schemes, the proposed scheme is more efficient in regards to computational overhead and ciphertext size. Furthermore, our security analysis illustrates that the proposed scheme is resilient against various security threats to smart grids.

Biography: Khalid Alharbi received the B.Sc. degree in Mathematics, Saudi Arabia, in 1999 and the Master of Information Technology Security (MITS) from University of Ontario Institute of Technology (UOIT), Canada, in 2012. He is an instructor at Northern Border University, Saudi Arabia and is currently working toward a Ph.D. degree in Computer Science at the University of Ontario Institute of Technology (UOIT), Canada. His research interests include applied cryptography, malware analysis, and security and privacy issues in web applications, cloud computing, mobile social networks, and smart grid. He has published more than 10 referred papers in International journals and conferences, including IEEE Transactions on Emerging Topics in Computing, IEEE Internet of Things, IEEE GLOBECOM. He won the Best Paper Award at the International Conference on Wireless Communications and Signal Processing (WCSP 2012).