Threats against security, privacy, and anonymity are real. They require appropriate answers and solutions.
Social media and cloud storage services have changed the information culture of our society. In the era of Web 2.0, people willingly leave lasting digital traces of their lives while decisions on uploading such information are short-termed. Those traces remain available as long as the providers of these services decide to.
Data such as uploaded documents, communication contents, personal proﬁles, and social media posts are considered as the goose that lays the golden eggs by cybercriminals. Thus, many recent cyberattacks and data breaches occurred to get access to these data.
Research focus and application
SecLab performs research to assist the ﬁght against cybercrime. SecLab combines traditional methods with big data approaches to develop novel solutions. It focuses on implementing tools and techniques for designing, building, and validating secure systems as well as enhancing the Internet’s privacy and anonymity.
Dr. Apostolis Zarras
- Area coordinator
- Assistant professor
- Proskurin, S., Lengyel, T., Momeu, M., Eckert, C., & Zarras, A. (2018). Hiding in the Shadows: Empowering ARM for Stealthy Virtual Machine Introspection. In Proceedings of the 34th ACM Annual Computer Security Applications Conference (ACSAC)
- Kolosnjaji, B., Zarras, A., Webster, G., & Eckert, C. (2016). Deep Learning for Classification of Malware System Call Sequences. In Proceedings of the 29th Australasian Joint Conference on Artificial Intelligence (AI)
- Zarras, A., Kohls, K., Dürmuth, M., & Pöpper, C. (2016). Neuralyzer: Flexible Expiration Times for the Revocation of Online Data. In Proceedings of the 6th ACM Conference on Data and Application Security and Privacy (CODASPY)