research
∙
02/24/2023
A Real-Time Co-simulation Testbed for EV Charging and Smart Grid Security
Faced with the threat of climate change, the world is rapidly adopting E...
share
research
∙
06/27/2022
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning
Outsourcing anomaly detection to third-parties can allow data owners to ...
research
∙
05/27/2021
Resilient and Adaptive Framework for Large Scale Android Malware Fingerprinting using Deep Learning and NLP Techniques
Android malware detection is a significat problem that affects billions ...
research
∙
09/20/2020
R^2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions
Differential privacy (DP) has emerged as a de facto standard privacy not...
research
∙
05/12/2020
Android Malware Clustering using Community Detection on Android Packages Similarity Network
The daily amount of Android malicious applications (apps) targeting the ...
research
∙
12/26/2018
Portable, Data-Driven Malware Detection using Language Processing and Machine Learning Techniques on Behavioral Analysis Reports
In response to the volume and sophistication of malicious software or ma...
research
∙
10/24/2018
Preserving Both Privacy and Utility in Network Trace Anonymization
As network security monitoring grows more sophisticated, there is an inc...
research
∙
08/01/2018
Toward Multimodal Interaction in Scalable Visual Digital Evidence Visualization Using Computer Vision Techniques and ISS
Visualization requirements in Forensic Lucid have to do with different l...
research
∙
12/25/2017
Android Malware Detection using Deep Learning on API Method Sequences
Android OS experiences a blazing popularity since the last few years. Th...
research
∙
06/21/2014
On the Reverse Engineering of the Citadel Botnet
Citadel is an advanced information-stealing malware which targets financ...
research
∙
07/16/2012
MARFCAT: Transitioning to Binary and Larger Data Sets of SATE IV
We present a second iteration of a machine learning approach to static c...
research
∙
09/28/2010