“BlockTrail: A Service for Secure and Transparent Blockchain-Driven Audit Trails” by Ashar Ahmad, Muhammad Saad, Mohammed Al Ghamdi, DaeHun Nyang, David Mohaisen is accepted in IEEE Systems Journal. Congratulations to all! In this paper, we introduce BlockTrail, a novel blockchain architecture that is prototyped on the PBFT protocol with a custom-built blockchain. BlockTrail is secure […]
“DL-FHMC: Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification” by Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen is accepted for publication in IEEE Transactions on Dependable and Secure Computing. This paper deals with ML-based approach to robust malware classification under the existence of adversarial […]
A good news. “SHELLCORE: Automating Malicious IoT Software Detection by Using Shell Commands Representation” is accepted for publication in IEEE IoT Journal. This is the joint work with Hisham Alasmary, Afsah Anwar, Ahmed Abusnaina, Abdulrahman Alabduljabbar, Mohammed Abuhamad, An Wang, DaeHun Nyang, Amro Awad, and David Mohaisen. This paper investigates shell commands abused by adversaries […]
“A Network-independent Tool-based Usable Authentication System for Internet of Things Devices” by Changhun, Jinchun, Rhongho, David and me is now accepted by Computers and Security. I am very pleased to see this paper has been published. This paper is about IoT authentication by a special hardware tool that makes authentication easy and fun as well […]
Me, waiting for the award in NetSec-KR 2021 after keynote speech. The vice-minister of science and ICT and me are pausing for photo taking. The commendation certificate. I was the awardee of Minister of Science and ICT’s commendation for best researchers. The awarding ceremony was held in NetSec-KR 2021 at COEX today. I would […]
“Empirically Comparing the Performance of Blockchain’s Consensus Algorithms” by Ashar Ahmad, Abdulrahman Alabduljabbar, Muhammad Saad, Joongheon Kim, DaeHun Nyang, David Mohaisen is accepted by IET Blockchain. Congratulations!
“Large-Scale and Robust Code Authorship Identification with Deep Feature Learning” by Mohammed Abuhamad (Loyola University Chicago), Tamer Abuhmed (Sungkyunkwan University), David Mohaisen (University of Central Florida), and DaeHun Nyang (Ewha Womans University) is accepted for publication in ACM Transactions on Privacy and Security today. This paper is substantially extended from our previous work in ACM […]
Congratulations to Jiyoo, Changhun, Kyunghee, and David! Our paper on alphabet entry method for smartwatch is accepted for publication in TMC, of which title is “A One-Page Text Entry Method Optimized for Rectangle Smartwatches” by RhongHo Jang, Changhun Jung, David Mohaisen, Kyunghee Lee, DaeHun Nyang. Hope that this work helps to make it easier to […]
Last year was awesome. Our group had published successfully fair amount of papers in top venues like INFOCOM, ICDCS, PETS, IEEE IoT Journal, IEEE TC, etc. Still we are working on many exciting topics on streaming algorithms on a programmable router, AI attack, AI-powered network security, and more. The progress is rather slow, but […]
Our paper entitled “Contra-*: Mechanisms for Countering Spam Attacks on Blockchain’s Memory Pools” authored by Muhammad Saad, Joongheon Kim, DaeHun Nyang, David Mohaisen is accepted for publication in Journal of Network and Computer Applications (IF 5.570). Congratulations to Saad and all of us!
