ISRL

Update (2020. 9.1): Dr. Jang (Now, Prof. Jang) started his career as an assistant professor at Dept of Computer Science of Wayne State University. The photo is from the dept’s website.

I am very pleased to announce that Dr. RhongHo Jang has got an offer for an assistant professor position from Department of Computer Science of Wayne State University in midtown Detroit, Michigan. He will be joining Wayne State University this Summer. This is another big news in our group following Dr. Mohammed’s joining in Loyola University Chicago and Dr. Tamer’s joining in SKKU in Korea. Rhongho started his research career as an MS student in my lab in September of 2013. He continued his study as a PhD in 2015 and also joined the dual degree program with University of Central Florida in Fall of 2018 under the co-supervision of Prof. David Mohaisen.

Dr. Jang’s main research area include network traffic measurement, sampling theory, network architecture, network/system/mobile security, and deep learning based security. During his PhD study, he published three INFOCOM papers, three ICDCS papers, and one in IEEE TMC. He got the PhD degree from Inha this Spring, and now he is graduating this coming Summer from UCF. He is now commencing a new career as a professor at Wayne State University, and he is expected to make more and better outcomes in the new environment in Michigan.

Sponsored by Global Research Lab Fund of Korea’s NRF, we are making and will be making records even in education as well as in research.

Update (2020.9.12): Dr. Abuhamad (Now, Prof. Abuhamad) started his career as an assistant professor at Dept of Computer Science of Loyola University Chicago. The photo is from Prof. Abuhamad, and the profile is from the dept’s website.

I am pleased to announce that Mohammed Abuhamad, one of my excellent students is going to join Computer Science Department of Loyola University Chicago this fall semester. He signed the final offer today from Loyola and completed the contract. Loyola is ranked #104 by USNews.

He joined my group in September 2016 as a PhD student, and started a dual degree program under the supervision of David Mohaisen at UCF in 2018 Fall. During his PhD study, he published actively lots of works on security research taking advantage of his comprehensive knowledge on AI and machine learning. One of his works is the 2018 ACM CCS paper entitled “Large-Scale and Language-Oblivious Code Authorship Identification“, and other than that, he is publishing our work at Privacy Enhancing Technology (just accepted), IEEE ICDCS, IEEE IoT Journal, Future Generation Computer Systems. He is graduating this semester and he is going to start a new career as an assistant professor at Loyola. I am very proud of him together with David Mohaisen who is another advisor of Mohammed supporting him at UCF.

Congratulations to Mohammed!

I just opened the door to the new stage in my career.

In March 2020, I left Inha after 17 years’ work and joined Cyber Security Dept. of Software and Engineering Division of Ewha Womans University.

Everything is new to me, but I have to adjust here and restart my work at Ewha.

Wish me a good luck!

“Toward Characterizing Blockchain-Based Cryptocurrencies for Highly Accurate Predictions” authored by Muhammad Saad, Jinchun Choi, DaeHun Nyang, Joongheon Kim, and Aziz Mohaisen got the best paper award 2020 by IEEE Systems Journal. Each year up to 1% of the eligible papers can be selected for the ISJ
best paper award.In 2019, ISJ published 793 papers, and they selected 7 papers for
the 2020 award (less than 1% selection rate).

Congratulations to all of the authors.

Our paper “Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers” authored by Hisham Alasmary, Ahmed Abusnaina, Rhongho Jang, Mohammed Abuhamad, Afsah Anwar, DaeHun Nyang and David Mohaisen is accepted in IEEE ICDCS 2020.

Congrats to all!

A survey paper on block chain is accepted in IEEE Communications Surveys and Tutorials of which impact factor is 22.973.

“Exploring the Attack Surface of Blockchain: A Comprehensive Survey” by Muhammad Saad, Jeffrey Spaulding, Laurent Njilla, Charles Kamhoua, Sachin Shetty, DaeHun Nyang, Aziz Mohaisen

Congrats to Saad and all of us!

Assessing the Effectiveness of Pulsing Denial of Service Attacks under Realistic Network Synchronization Assumptions by Aziz Mohaisen, Jeman Park, Manar Mohaisen, DaeHun Nyang.

Congrats to all!

A paper entitled AUToSen: Deep Learning-based Implicit Continuous Authentication Using Smartphone Sensors by Abuhamad, Mohammed; Abuhmed, Tamer; Mohaisen, David; Nyang, DaeHun is accepted in IEEE IoT Journal.

Congrats to all!

Our paper entitled “Multi-x: Identifying Multiple Authors from Source Code Files” is accepted in the 20th Privacy Enhancing Technologies Symposium (PETS 2020)!

Congratulations to Mohammed and all of Tamer, Aziz, and me.

The paper is the first work in identifying multiple authors in a source code file. We believe that this is a major step toward code-based privacy breaking research.

I am very proud to announce that this year two papers were accepted to INFOCOM 2020 in Beijing!

SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event

Congrats to Jiyoo, DaeHong, and SeongKwang!

DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting

Congrats to Jiyoo, Ahmed, and Amin!

Our research group led by Prof. Mohaisen and me has been working very hard to push further the limit of our group, and as a result we’ve got great results this year. I am very proud of my students: Jiyoo Jang, Ahmed Abusnaina. More details on the papers are coming soon.