research
∙
09/09/2023
Characterizing Cyber Attacks against Space Systems with Missing Data: Framework and Case Study
Cybersecurity of space systems is an emerging topic, but there is no sin...
share
research
∙
07/10/2023
Towards Automated Cyber Range Design: Characterizing and Matching Demands to Supplies
Cyber ranges mimic real-world cyber environments and are in high demand....
research
∙
02/22/2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
Machine Learning (ML) techniques facilitate automating malicious softwar...
research
∙
07/13/2022
A Coupling Approach to Analyzing Games with Dynamic Environments
The theory of learning in games has extensively studied situations where...
research
∙
03/15/2022
SoK: Why Have Defenses against Social Engineering Attacks Achieved Limited Success?
Social engineering attacks are a major cyber threat because they often s...
research
∙
12/15/2021
Quantifying Cybersecurity Effectiveness of Dynamic Network Diversity
The deployment of monoculture software stacks can have devastating conse...
research
∙
11/19/2021
Quantifying Cybersecurity Effectiveness of Software Diversity
The deployment of monoculture software stacks can cause a devastating da...
research
∙
09/20/2021
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?
The deep learning approach to detecting malicious software (malware) is ...
research
∙
08/02/2021
Towards Making Deep Learning-based Vulnerability Detectors Robust
Automatically detecting software vulnerabilities in source code is an im...
research
∙
02/25/2021
Data-Driven Characterization and Detection of COVID-19 Themed Malicious Websites
COVID-19 has hit hard on the global community, and organizations are wor...
research
∙
02/25/2021
Characterizing the Landscape of COVID-19 Themed Cyberattacks and Defenses
COVID-19 (Coronavirus) hit the global society and economy with a big sur...
research
∙
10/09/2020
On the Security of Group Communication Schemes
Secure group communications are a mechanism facilitating protected trans...
research
∙
10/09/2020
Cybersecurity Dynamics: A Foundation for the Science of Cybersecurity
Cybersecurity Dynamics is new concept that aims to achieve the modeling,...
research
∙
07/09/2020
Human Cognition through the Lens of Social Engineering Cyberattacks
Social engineering cyberattacks are a major threat because they often pr...
research
∙
07/06/2020
Computational Complexity Characterization of Protecting Elections from Bribery
The bribery problem in election has received considerable attention in t...
research
∙
05/24/2020
SoK: Arms Race in Adversarial Malware Detection
Malicious software (malware) is a major cyber threat that shall be tackl...
research
∙
04/15/2020
Enhancing Deep Neural Networks Against Adversarial Malware Examples
Machine learning based malware detection is known to be vulnerable to ad...
research
∙
01/22/2020
Preventive and Reactive Cyber Defense Dynamics with Ergodic Time-dependent Parameters Is Globally Attractive
Cybersecurity dynamics is a mathematical approach to modeling and analyz...
research
∙
01/08/2020
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
Automatically detecting software vulnerabilities is an important problem...
research
∙
01/08/2020
μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
Fine-grained software vulnerability detection is an important and challe...
research
∙
10/05/2019
A Case Study on Using Deep Learning for Network Intrusion Detection
Deep Learning has been very successful in many application domains. Howe...
research
∙
09/18/2019
Analyzing Root Causes of Intrusion Detection False-Negatives: Methodology and Case Study
Intrusion Detection Systems (IDSs) are a necessary cyber defense mechani...
research
∙
08/13/2019
A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and Defenses
The blockchain technology is believed by many to be a game changer in ma...
research
∙
06/12/2019
Metrics Towards Measuring Cyber Agility
In cyberspace, evolutionary strategies are commonly used by both attacke...
research
∙
12/19/2018
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge
Malware continues to be a major cyber threat, despite the tremendous eff...
research
∙
11/27/2018
Node Diversification in Complex Networks by Decentralized Coloring
We develop a decentralized coloring approach to diversify the nodes in a...
research
∙
11/12/2018
Efficient Public Blockchain Client for Lightweight Users
Public blockchains provide a decentralized method for storing transactio...
research
∙
11/07/2018
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
Bribery in election (or computational social choice in general) is an im...
research
∙
09/24/2018
Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth
The accurate measurement of security metrics is a critical research prob...
research
∙
09/18/2018
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples
Adversarial machine learning in the context of image processing and rela...
research
∙
07/18/2018
SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities
The detection of software vulnerabilities (or vulnerabilities for short)...
research
∙
01/05/2018
VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
The automatic detection of software vulnerabilities is an important rese...
research
∙
08/08/2014