396 citations · 1.6k across the 95 of their papers we have counts for
96 papers
DEFEAT: Stitching Fragmented File I/O Contexts for Early Ransomware Detection
Muhammad Ejaz Ahmed, Hyoungshick Kim, Mohsen Ali Alawami +4
Ransomware increasingly fragments its file operations across temporary and intermediate files, scattering the semantic context that links individual I/O events to an overarching en…
Original Sin of npm: A Study on Vulnerability Propagation in JavaScript Dependency Networks
Michael Robinson, Sajal Halder, Muhammad Ejaz Ahmed +3
Understanding vulnerability propagation is essential for assessing how vulnerabilities spread across components of a software package. This supports more accurate impact analysis a…
Parameter-efficient Quantum Multi-task Learning
Hevish Cowlessur, Chandra Thapa, Tansu Alpcan +1
Multi-task learning (MTL) improves generalization and data efficiency by jointly learning related tasks through shared representations. In the widely used hard-parameter-sharing se…
Quantum Spectral Authentication: Entity Authentication and Key Derivation from a Hidden Eigenstate of a Public Unitary Challenge
S. P. Kish, H. J. Vallury, J. Pieprzyk +2
We introduce Quantum Spectral Authentication (QSA), a symmetric-key entity-authentication and key-derivation protocol in which a remote endpoint proves it still holds a hidden plan…
DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-hosted Monolithic Firmware Fuzzing
Guy Farrelly, Michael Chesser, Seyit Camtepe +1
The rise of smart devices in critical domains--including automotive, medical, industrial--demands robust firmware testing. Fuzzing firmware in re-hosted environments is a promising…
TempoNet: Learning Realistic Communication and Timing Patterns for Network Traffic Simulation
Kristen Moore, Diksha Goel, Cody James Christopher +5
Realistic network traffic simulation is critical for evaluating intrusion detection systems, stress-testing network protocols, and constructing high-fidelity environments for cyber…
AdaDoS: Adaptive DoS Attack via Deep Adversarial Reinforcement Learning in SDN
Wei Shao, Yuhao Wang, Rongguang He +2
Existing defence mechanisms have demonstrated significant effectiveness in mitigating rule-based Denial-of-Service (DoS) attacks, leveraging predefined signatures and static heuris…
RINSER: Accurate API Prediction Using Masked Language Models
Muhammad Ejaz Ahmed, Christopher Cody, Muhammad Ikram +5
Malware authors commonly use obfuscation to hide API identities in binary files, making analysis difficult and time-consuming for a human expert to understand the behavior and inte…
Quantum Key Distribution
Sebastian Kish, Josef Pieprzyk, Seyit Camtepe
Quantum Key Distribution (QKD) is a technology that ensures secure communication by leveraging the principles of quantum mechanics, such as the no-cloning theorem and quantum uncer…
TELSAFE: Security Gap Quantitative Risk Assessment Framework
Sarah Ali Siddiqui, Chandra Thapa, Derui Wang +5
Gaps between established security standards and their practical implementation have the potential to introduce vulnerabilities, possibly exposing them to security risks. To effecti…
FuncVul: An Effective Function Level Vulnerability Detection Model using LLM and Code Chunk
Sajal Halder, Muhammad Ejaz Ahmed, Seyit Camtepe
Software supply chain vulnerabilities arise when attackers exploit weaknesses by injecting vulnerable code into widely used packages or libraries within software repositories. Whil…
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
Hevish Cowlessur, Tansu Alpcan, Chandra Thapa +2
Efficiently embedding high-dimensional datasets onto noisy and low-qubit quantum systems is a significant barrier to practical Quantum Machine Learning (QML). Approaches such as qu…
Unlocking the hidden potential of pulsar astronomy
D. Kaur, G. Hobbs, A. Zic +6
Pulsars have traditionally been used for research into fundamental physics and astronomy. In this paper, we investigate the expanding applications of radio pulsars in societal and…
A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy
Ahmad Mohsin, Helge Janicke, Ahmed Ibrahim +2
This article presents a structured framework for Human-AI collaboration in Security Operations Centers (SOCs), integrating AI autonomy, trust calibration, and Human-in-the-loop dec…
Data Encryption Battlefield: A Deep Dive into the Dynamic Confrontations in Ransomware Attacks
Arash Mahboubi, Hamed Aboutorab, Seyit Camtepe +5
In the rapidly evolving landscape of cybersecurity threats, ransomware represents a significant challenge. Attackers increasingly employ sophisticated encryption methods, such as e…
CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber Defenders
Minjune Kim, Jeff Wang, Kristen Moore +7
The increasing frequency and sophistication of cyberattacks demand innovative approaches to strengthen defense capabilities. Training on live infrastructure poses significant risks…
Setup Once, Secure Always: A Single-Setup Secure Federated Learning Aggregation Protocol with Forward and Backward Secrecy for Dynamic Users
Nazatul Haque Sultan, Yan Bo, Yansong Gao +10
Federated Learning (FL) enables multiple users to collaboratively train a machine learning model without sharing raw data, making it suitable for privacy-sensitive applications. Ho…
Provisioning Time-Based Subscription in NDN: A Secure and Efficient Access Control Scheme
Nazatul H. Sultan, Chandan Kumar, Saurab Dulal +3
This paper proposes a novel encryption-based access control mechanism for Named Data Networking (NDN). The scheme allows data producers to share their content in encrypted form bef…
CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization
Derui Wang, Kristen Moore, Diksha Goel +8
Deep reinforcement learning (DRL) has gained widespread adoption in control and decision-making tasks due to its strong performance in dynamic environments. However, DRL agents are…
Private Synthetic Data Generation in Bounded Memory
Rayne Holland, Seyit Camtepe, Chandra Thapa +1
We propose , a lightweight synthetic data generator with \textit{differential privacy} guarantees. uses a novel hierarchical decomposition that a…
Relation-aware based Siamese Denoising Autoencoder for Malware Few-shot Classification
Jinting Zhu, Julian Jang-Jaccard, Ian Welch +4
When malware employs an unseen zero-day exploit, traditional security measures such as vulnerability scanners and antivirus software can fail to detect them. This is because these…
AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems
Zhiyu Zhu, Zhibo Jin, Hongsheng Hu +5
AI systems, in particular with deep learning techniques, have demonstrated superior performance for various real-world applications. Given the need for tailored optimization in spe…
Robustness and Security Enhancement of Radio Frequency Fingerprint Identification in Time-Varying Channels
Lu Yang, Seyit Camtepe, Yansong Gao +2
Radio frequency fingerprint identification (RFFI) is becoming increasingly popular, especially in applications with constrained power, such as the Internet of Things (IoT). Due to…
Attacking Slicing Network via Side-channel Reinforcement Learning Attack
Wei Shao, Chandra Thapa, Rayne Holland +2
Network slicing in 5G and the future 6G networks will enable the creation of multiple virtualized networks on a shared physical infrastructure. This innovative approach enables the…