For research activities in the Department of Computer Science, see https://research.cs.luc.edu/
The cybersecurity program is actively involved in obtaining external research funding, publishing in international journals and conferences, and presenting the latest research in cybersecurity.
Interdisciplinary Student Projects in Cybersecurity at Loyola University Chicago: Spreading Misinformation on Social Media and its Consequences for Trust in Government and Cybersecurity. Scholl Foundation, $50,000, November 15, 2021. (interdisciplinary work involving computer science, cybersecurity, criminal justice and criminology, psychology, and political science)
Loyola University Chicago Experiential Cybersecurity Scholarship Program. Motorola Solutions Foundation, $25,000, August 5, 2021 – May 5, 2022.
Teaching Basic Cybersecurity to All. U.S. Department of Defense, $31,023, September 13, 2021 – December 31, 2022.
Realistic and Practical Website Fingerprinting. NSA and NCAE, $435,245, September 15, 2021 – December 31, 2024.
CDSE: Collaborative: Cyber Infrastructure to Enable Computer Vision Applications at the Edge Using Automated Contextual Analysis. National Science Foundation, $209,624, September 1, 2021 - August 31, 2024 (collaborative work with Purdue University)
Collaborative Research: OAC Core: Advancing Low-Power Computer Vision at the Edge. National Science Foundation, $250,000, July 1, 2021 - June 30, 2024 (collaborative work with Purdue University)
Synthetic magnetic resonance imaging (MRI) generated from computed tomography (CT) scans using deep-learning artificial intelligence models for high-dose-rate (HDR) prostate brachytherapy, Cardinal Bernardin Cancer Center (CBCC), 2020. (Dr. Mohammed Abuhamad in collaboration with Dr. Kang)
SaTC: EDU: Collaborative: Personalized Cybersecurity Education and Training. National Science Foundation, $493,524, July 1, 2019 - June 30, 2022 (collaborative work with Oklahoma State University)
Recent Cyber Security Publications
Jack West, Kyuin Lee, Suman Banerjee, Younghyun Kim, George K. Thiruvathukal, Neil Klingensmith. "Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication", ACM IPSN, 2021.
Anna Bakas, Anne Wagner, Spencer Johnston, Shelia Kennison, and Eric Chan-Tin. "Impact of Personality Types and Matching Messaging on Password Strength", EAI Endorsed Transactions on Security and Safety, June, 2021. DOI: 10.4108/eai.1-6-2021.170012.
Sultan Alshamrani, Mohammed Abuhamad, Ahmed Abusnaina, Daehun Nyang and David Mohaisen. "Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube", The International Workshop on Natural Language Processing for Social Media (SocialNLP - TheWebConf), 2021.
Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang, David Mohaisen. "Sensor-based Continuous Authentication of Smartphones’ Users Using Behavioral Biometrics", The IEEE Internet of Things Journal (IoT-J), 2021.
Weiqi Cui, Tao Chen, and Eric Chan-Tin. "More Realistic Website Fingerprinting Using Deep Learning", IEEE International Conference on Distributed Computing Systems (ICDCS), Singapore, 2020.
Shelia Kennison and Eric Chan-Tin. "Taking Risks with Cybersecurity: Using Knowledge and Personal Characteristics to Predict Self-Reported Cybersecurity Behaviors", Journal of Frontiers in Psychology, section Cognition, 2020.
Brook Abegaz, Eric Chan-Tin, Neil Klingensmith, George K. Thiruvathukal. "Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information", ACM AutoUI Work in Progress, Virtual Event, 2020.
Kyuin Lee, Neil Klingensmith, Dong He, Suman Banerjee, and Younghyun Banerjee. "ivPair: Context-Based Fast Intra-Vehicle Device Pairing for Secure Wireless Connectivity", WiSec '20: Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2020
Weiqi Cui, Jiangmin Yu, Yanmin Gong, Eric Chan-Tin. "Efficient, Effective, and Realistic Website Fingerprinting Mitigation", EAI Transactions on Endorsed Transactions on Security and Safety, November 2019, DOI: 10.4108/eai.29-1-2019.161977.
Zongho Huang, Rui Hu, Richard Guo, Yanmin Gong, Eric Chan-Tin. "DP-ADMM: ADMM-based Distributed Learning with Differential Privacy", IEEE Transactions on Information Forensics & Security, July 2019, DOI: 10.1109/TIFS.2019.2931068.
Tao Chen, Weiqi Cui, and Eric Chan-Tin. "Measuring Tor Relay Popularity", Proceedings of the 15th International Conference on Security and Privacy in Communication Networks (SecureComm), Orlando, Florida, 2019.
Weiqi Cui, Tao Chen, Christian Fields, Julianna Chen, Luis Sierra. "Revisiting Assumptions for Website Fingerprinting Attacks", ACM ASIA Conference on Computer and Communications Security (ASIACCS), Auckland, New Zealand, 2019.
Eric Chan-Tin and Rakesh Ravishankar. "The case for HTTPS: measuring overhead and impact of certificate authorities", International Journal Security and Networks, Vol. 13, No. 4, pp.261-269, 2018.
Eric Chan-Tin, Taejoon Kim, and Jinoh Kim. "Website Fingerprinting Attack Mitigation using Traffic Morphing", IEEE International Workshop on Scalable Network Traffic Analytics (SNTA), co-located with IEEE ICDCS, 2018.
Weiqi Cui, Jiangmin Yu, Yanmin Gong, and Eric Chan-Tin. "Realistic Cover Traffic to Mitigate Website Fingerprinting Attacks", IEEE International Workshop on Scalable Network Traffic Analytics (SNTA), co-located with IEEE ICDCS, 2018.