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Seminar: Security and Resiliency for Critical Infrastructures

Don’t miss the workshop!

Seminar: Cyber security of next generation healthcare

Don’t miss the workshop!

Seminar: Demosaicking and Denoising using Convolution Neural Network

Don’t miss the workshop!

Seminar: Security Enhancements for 5G Wireless Networks

Don’t miss the workshop!

KINDI-CSE talks

The KINDI Center for Computing Research and the CSE department are organizing a series of Talks on Artificial Intelligence and Cybersecurity where renowned keynote speakers are invited to discuss the latest trends and challenges, along with their latest research work and achievements in these areas.

Title Speaker Link Password Announcement link Date
Artificial Intelligence for Biometric Technologies and Systems

Prof. Vincenzo Piuri

2Mp3xCJS

November 4, 2021

New Patent Granted for CSE Faculty in Collaboration with KINDI Center

Right side :Dr Khaled Khan (CSE), Left Side: Dr. Armstrong Nhlabatsi (KINDI Center).

Dr. Khaled Khan and Dr. Noora Fetais from the Department of Computer Science and Engineering (CSE) have been awarded a patent titled “Methods and Systems for Monitoring Network Security” in collaboration with KINDI Center for Computing Research in the College of Engineering at Qatar University.


The Qatar National Research Funds has supported this research under National Priority Research Program (NPRP8-531-1-111). Dr. Khaled and Dr Noora acted as the Lead PI and PI of the project respectively. Dr. Armstrong Nhlabatsi from KINDI also participated in the research project. They collaborated with the researchers from the University of Canterbury (New Zealand) and the University of Queensland (Australia).  

Modern networks are becoming more and more dynamic, such as frequent changes compared to the traditional static networks (e.g., hosts addition and removal, vulnerability change, applications and services update, and attack surface change). In a dynamic network, the configuration of at least one of the hosts or edges changes over time. The dynamic network is a network selected from a group of configured components including cloud computing, a software-defined networking arrangement, or an Internet of Things network. As network components change over time, the security posture of the network also changes, as vulnerabilities associated with the network components shift accordingly. Hence, it is of paramount importance to be able to assess the security of dynamic networks in order to understand and further enhance the security. 

Al Sharq newsletter, and Al Arab newsletter covering the achievement

This patented approach is a new technique for monitoring the security of a computing network, which includes a plurality of hosts and a plurality of edges which link connected hosts. The method comprises capturing and storing network state information in response to at least one of the time-driven trigger, an event-driven trigger or a user-driven trigger. The method further comprises storing security-related data which is indicative of the change in the security of the network during the time window for a user to monitor the change in the security of the network. Detecting a change in the security of the network comprises at least one of the following events: the addition of a new host to the network; the removal of a host from the network; the addition of a new edge to the network; the removal of an edge from the network; the addition of a vulnerability to a host in the network; or the removal of a vulnerability from a host in the network. The method calculates at least one security metric for the network and a weight value for at least one of the components in the network. The approach is capable of capturing such critical changes and reflecting the modified security posture in order to precisely assess the security of dynamic networks. 

Al Raya newsletter, and the AlWatan newsletter covering the achievement