Research Showcase June 2024
CCI is presenting some of our researchers’ exciting work through selected papers that have been presented, published, or accepted for publication in 2023 and 2024.
Submissions came from CCI researchers at George Mason University, James Madison University, Old Dominion University, Virginia Commonwealth University, Virginia Tech, and William & Mary.
Many papers were the product of collaborations between researchers at multiple CCI member universities, as well as institutions in other states and nations.
Papers are focused on cybersecurity, have benefited from CCI funding, and acknowledge CCI’s contribution in the publication/presentation.
Read the abstracts to get an overall idea of the researchers’ findings, then take the opportunity to learn more by reading the paper in its entirety.
Selected papers
Papers focus on a variety of areas of cybersecurity, including:
Transportation
Horizontal Gaze Nystagmus Transmission Interlock System: Building a personalized machine-learning algorithm calibrated to test drivers’ sobriety while protecting their privacy.
Authors
- Chase Coleman
- Matthew Jenkins
- William Roberts
- Charlie Thomas
- William Westerkamp
- Rod MacDonald
- Ahmad Salman
All are of James Madison University
Strategic Resilience Evaluation of Neural Networks within Autonomous Vehicle Software: Exploring safety pitfalls of deep neural networks used in autonomic vehicles in the presence of transient hardware faults.
Authors
- Anna Schmedding, William & Mary
- Philip Schowitz, University of British Columbia
- Xugui Zhou, University of Virginia
- Yiyang Lu, William & Mary
- Lishan Yang, George Mason University
- Homa Alemzadeh, University of Virginia
- Evgenia Smirni, William & Mary
CANShield:Deep-Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal Level: Developing the CANShield to protect controller area network (CAN) bus from injection attacks.
Authors
- Md Hasan Shahriar, Virginia Tech
- Yang Xiao, University of Kentucky
- Pablo Moriano, Oak Ridge National Laboratory
- Y. Thomas Hou, Virginia Tech
- Wenjing Lou, Virginia Tech
Infrastructure
A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid: Using a novel zero trust framework to recognize and protect against attack vectors.
Authors
- Md Shirajum Munir, Old Dominion University
- Sravanthi Proddatoori, Old Dominion University
- Manjushree Muralidhara, Old Dominion University
- Walid Saad, Virginia Tech
- Zhu Han, University of Houston
- Sachin Shetty, Old Dominion University
A Machine Learning-Based Temperature Control Security Against FDI Attacks in Smart Buildings: Incorporating machine learning-driven anomaly detection into control systems for optimal indoor climate regulation.
Authors
- Mostafa Zaman, Virginia Commonwealth University
- Maher Al Islam, Virginia Commonwealth University
- Nasibeh Zohrabi, Pennsylvania State University, Brandywine
- Sherif Abdelwahed, Virginia Commonwealth University
Resilient Power Sharing in a 100% Inverter-Based Power System Under GPS Spoofing Attacks: Improving control algorithm accuracy by fortifying existing power grid controllers against cyberattacks.
Authors
All are of Virginia Tech.
P4CONTROL: Line-Rate Cross-Host Attack Prevention via In-Network Information Flow Control Enabled by Programmable Switches and eBPF: Leveraging programmable data to enforce information flow control at the network-level, using network infrastructure to block sophisticated attackers.
Authors
All are of Virginia Tech
6G/Communications
Malicious RIS vs. Massive MIMO: Securing Multiple Access Against RIS-Based Jamming Attacks: Developing an algorithm to optimize RIS reflection coefficients without knowing legitimate user channels.
Authors
- Arthur Sousa de Sena, University of Oulu
- Jacek Kibiłda, Virginia Tech/CCI Hub
- Nurul Huda Mahmood, University of Oulu
- André Gomes, Virginia Tech/CCI HUb
- Matti Latva-aho, University of Oulu
Machine Learning
Probing Weaknesses in GPU Reliability Assessment: A Cross-Layer Approach: Conducting a characterization study with extensive fault injection experiments on GPU applications to protect vulnerable systems.
Authors
- Lishan Yang, George Mason University
- George Papadimitriou, University of Athens
- Dimitrios Sartzetakis, University of Athens
- Adwait Jog, University of Virginia
- Evgenia Smirni, William & Mary)
- Dimitris Gizopoulos, University of Athens
Networks
OSINT Research Studios: A Flexible Crowdsourcing Framework to Scale Up Open Source Intelligence Investigations: Developing a sociotechnical framework to provide training and scaffolding to support OSINT investigations.
Authors
- Anirban Mukhopadhyay, Virginia Tech
- Sukrit Venkatagiri, Swarthmore College
- Kurt Luther, Virginia Tech
Manufacturing
SOK: Side Channel Monitoring for Additive Manufacturing - Bridging Cybersecurity and Quality Assurance Communities: Consolidating and systemizing knowledge to explore SCs in additive manufacturing while highlighting QA and cybersecurity communities’ collaboration opportunities.
Authors
All are of Virginia Commonwealth University.
Deepfakes
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape: Developing concrete and specific future work directions to build resilient and reliable deepfake detectors.
Authors
- Sifat Muhammad Abdullah, Virginia Tech
- Aravind Cheruvu, Virginia Tech
- Shravya Kanchi, Virginia Tech
- Taejoong (Tijay) Chung, Virginia Tech
- Peng Gao, Virginia Tech
- Bimal Viswanath, Virginia Tech
- Murtuza Jadliwala, University of Texas, San Antonio
Other Papers of Note
We also thought these papers were worth letting our community explore.
Differentiating Insider and Outsider Cyberattacks on Businesses: Examining insider vs. outsider cyberattacks on Virginia businesses; internal threats can cause more financial damage and have a longer effect on businesses.
Authors: Thomas E. Dearden, (Virginia Tech); Katalin Parti (Virginia Tech); James Hawdon (Virginia Tech); Randy Gainey (Old Dominion University); Tancy Vandecar-Burdin (Old Dominion University); and Jay Albanese (Virginia Commonwealth University).
Mitigating False Data Injection Attacks on Inverter Set Points in a 100% Inverter-Based Microgrid: Developing a long short-term memory-based method to mitigate/detect false data injection attacks in a 100% inverter-based microgrid.
Authors: Milad Beikbabaei; Mario Montano; Ali Mehrizi-Sani; and Chen-Ching Liu (all of Virginia Tech).
Pri-Share: Enabling Inter-SAS Privacy Protection via Secure Multi-Party Spectrum Allocation: Utilizing homomorphic encryption and private set union (PSU) techniques, Pri-Share ensures that sensitive information remains confidential while enabling efficient and fair spectrum allocation.
Authors: Hexuan Yu; Shanghao Shi; Yi Shi; Eric Burger; Y. Thomas Hou; and Wenjing Lou. (All of Virginia Tech; Burger is also of the CCI Hub).
Understanding the Landscape of Cyberbiosecurity for integrative Educational Programming: Exploring integrative cyberbiosecurity education for agriculture and life sciences professionals through workforce development programming.
Authors: Samson O. Adeoye, Feras Batarseh, Anne M. Brown, and Eric K. Kaufman. (All are of Virginia Tech; Batarseh is also of the CCI Hub.)