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The Posters from the SVCSI Summer Camp 2022

In this 2022 edition of our 8-week SVCSI Summer Camp, we again had the great opportunity to tutor many high school and undergraduate students. In particular, we are proud to share that 100% of our undergraduates were students from underrepresented communities. Eight different research projects were successfully completed in different areas of the cybersecurity domain.

Thomas H. Austing proposed “ShareWealth: Egalitarian Rewards for a Blockchain” to his students.


In the first poster, Dr. Thomas H. Austin tutored his students on a research project called “ShareWealth: Egalitarian Rewards for a Blockchain”. In this project, the students built a Bitcoin-like blockchain with the goal of dividing the rewards more evenly among the miners who are responsible for building the blockchain. Dr. Xiaoyan Sun proposed “Exploring Digital Forensics Techniques” in the second poster. In this work, the students explored the most current digital forensics techniques and tools used in such a field. Poster number three is “Blockchain Simulator”, where Dr. Sang-Yoon Chang used a simulator to teach the students about the underlying mechanisms for Bitcoin and cryptocurrencies, including the proof-of-work distributed consensus protocol and networking.

“Advanced Malware Detection through Machine Learning” is the title of the fourth research project where Dr. Fabio Di Troia helped the students in developing a malware classification algorithm based on deep learning able to detect the most sophisticated malware families. In the fifth project, Dr. Nima Karimian guided his students on “Continuous Biometric Authentication Using Heart Signal”. In this work, the students familiarized themselves with biometric techniques and studied the feasibility of ECG biometric base authentication. Dr. Jinoh Kim proposed “Blockchain Peer Connectivity” to his students, which had the opportunity to develop a tool for predicting the number of peers by analyzing real blockchain traffic.

“Implementation of Logic Locking Hardware Obfuscation Technique” is the project proposed by Dr. Sara Tehranipoor. Her students learned how to implement simple logic locking circuits using electronic tools. Last but not least, Dr. Magdalini Eirinaki and her students worked on “Reinforcement Learning”, where they learned how to apply the theory of reinforcement learning to the field of cybersecurity.



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