This week we had a visit from Associate Professor Sevil Şen Akagunduz and PhD student Emre Aydoğan from Hacettepe University in Turkey. The visit is the first step in the STINT-granted project withing the development of Industrial Internet of Things security, IIoT. The project started in September and the Project Manager from STC's part is Dr. İsmail Bütün.

Visit from Hacettepe University in Turkey
From the left:PhD student Emre Aydoğan, Associate Professor Sevil Şen Akagunduz, Hacettepe University in Turkey and Dr. İsmail Bütün at STC.

Dr. İsmail Bütün at STC is the Project Manager from Mid Sweden University and Associate Prof. Sevil Şen lead her team from Hacettepe University. The project also includes STC Senior Researchers Dr. Ulf Jennehag and Dr. Stefan Forsström. Prof. Mikael Gidlund, Prof. Tingting Zhang. Dr. Patrik Österberg from Mid Sweden University will be advising the project. Read more about the STINT project in a previous article

Dr. Sevil Şen Akagunduz held a seminar "Co-evolution of Mobile Malware and Anti-Malware" during her visit and our PhD students had a chance to get to know each other and to plan the current project. 

About Associate Professor Sevil Şen Akagunduz

Sevil Şen Akagunduz, Hacettepe University Turkey

She received her PhD degree from the department of Computer Science, University of York, UK in 2010. Then, she joined Networking and Security Department at Eurecom Institute, France as a research visitor in 2011.

She is currently with the department of Computer Engineering, Hacettepe University, Turkey. She has been leading the WISE (Wireless Networks and Intelligent Secure Systems) Lab at Hacettepe University. She is also currently serving as an area editor of the Ad Hoc Networks journal. Her research interests are computer networks, network and systems security. Her focus is mainly in the area of mobile systems and wireless networks. Over the last few years, she has been conducting several projects in the applications of artificial intelligence based approaches to hard problems in networking and security.

Seminar abstract

Mobile malware is one of today's greatest threats in computer security. Furthermore, new mobile malware is emerging daily that introduce new security risks. However, whilst existing security solutions generally protect mobile devices against known risks, they are vulnerable to as yet unknown risks. Therefore, anti-malware software is in continuous development in order to be able to detect new malware or new variants of existing malware.

Similarly, as long as anti-malware software develops, malware writers also develop their malicious code by using various evasion strategies such as obfuscation and encryption. This is the lifecycle of malicious and anti-malware software. In this talk, I will present our approach that has been proposed to simulate this life cycle automatically. Hence, by this approach, we could both develop new variants of mobile malware and better security solutions against them automatically. In this approach, the use of co-evolutionary computation techniques is explored to explore this difficult design space. Although such techniques have always been considered a potential candidate for system security, this study is the first application in this area. In this talk, I will present the details about this approach.

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