activity
20182026
most citedPrecision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy

396 citations · 1.6k across the 95 of their papers we have counts for

collaborators
Showing 2021 · cs.CRShow all

9 papers · 2 filters

cs.CR2021★ 2 cited

A Game-Theoretic Approach for AI-based Botnet Attack Defence

Hooman Alavizadeh, Julian Jang-Jaccard, Tansu Alpcan +1

The new generation of botnets leverages Artificial Intelligent (AI) techniques to conceal the identity of botmasters and the attack intention to avoid detection. Unfortunately, the…

cs.CR2021★ 78 cited

A Few-Shot Meta-Learning based Siamese Neural Network using Entropy Features for Ransomware Classification

Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh +3

Ransomware defense solutions that can quickly detect and classify different ransomware classes to formulate rapid response plans have been in high demand in recent years. Though th…

cs.CR2021★ 2 cited

NatiDroid: Cross-Language Android Permission Specification

Chaoran Li, Xiao Chen, Ruoxi Sun +5

The Android system manages access to sensitive APIs by permission enforcement. An application (app) must declare proper permissions before invoking specific Android APIs. However,…

cs.CR2021★ 1 cited

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors

Ruoxi Sun, Minhui Xue, Gareth Tyson +6

Numerous open-source and commercial malware detectors are available. However, their efficacy is threatened by new adversarial attacks, whereby malware attempts to evade detection,…

cs.CR2021

A Survey on Threat Situation Awareness Systems: Framework, Techniques, and Insights

Hooman Alavizadeh, Julian Jang-Jaccard, Simon Yusuf Enoch +4

Cyberspace is full of uncertainty in terms of advanced and sophisticated cyber threats which are equipped with novel approaches to learn the system and propagate themselves, such a…

cs.CR2021★ 11 cited

Task-Aware Meta Learning-based Siamese Neural Network for Classifying Obfuscated Malware

Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh +2

Malware authors apply different techniques of control flow obfuscation, in order to create new malware variants to avoid detection. Existing Siamese neural network (SNN)-based malw…

cs.CR2021★ 1 cited

Characterizing Malicious URL Campaigns

Mahathir Almashor, Ejaz Ahmed, Benjamin Pick +4

URLs are central to a myriad of cyber-security threats, from phishing to the distribution of malware. Their inherent ease of use and familiarity is continuously abused by attackers…

cs.CR2021★ 21 cited

FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation

Chandra Thapa, Kallol Krishna Karmakar, Alberto Huertas Celdran +3

An integrated clinical environment (ICE) enables the connection and coordination of the internet of medical things around the care of patients in hospitals. However, ransomware att…

cs.CR2021

Peeler: Profiling Kernel-Level Events to Detect Ransomware

Muhammad Ejaz Ahmed, Hyoungshick Kim, Seyit Camtepe +1

Ransomware is a growing threat that typically operates by either encrypting a victim's files or locking a victim's computer until the victim pays a ransom. However, it is still cha…