activity
20132026
most citedDissecting Android Cryptocurrency Miners

21 citations · 38 across the 14 of their papers we have counts for

collaborators

18 papers

cs.CR2026

GitHub Engagement Signals for CVE Prioritization: The GitHub Popularity Metric (GPM)

Jafar Akhoundali, Kristian Rietveld, Olga Gadyatskaya

Attackers can compromise multiple systems with a single vulnerability, while defenders need to fix all security weaknesses in their systems. This asymmetry puts defenders at a disa…

cs.SE2026

A Study of Cursorrules Files in GitHub Open Source Projects

Shuang Sun, Jafar Akhoundali, Arina Kudriavtseva +2

Prompts are the primary mechanism for communicating with AI agents, and they directly influence the quality and reliability of AI-generated code. As AI-assisted programming becomes…

cs.CR2026

Privacy in ERP Systems: Behavioral Models of Developers and Consultants

Alicia Pang, Katsiaryna Labunets, Olga Gadyatskaya

Applications like Enterprise Resource Planning (ERP) systems have become an indispensable part of the corporate digital infrastructure. These systems store sensitive data about cus…

cs.CR2025

Empirical assessment of the perception of graphical threat model acceptability

Nathan D. Schiele, Olga Gadyatskaya

Threat modeling (TM) is an important aspect of risk analysis and secure software engineering. Graphical threat models are a recommended tool to analyze and communicate threat infor…

cs.CR2025

Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub

Jafar Akhoundali, Hamidreza Hamidi, Kristian Rietveld +1

Vulnerabilities in open-source software can cause cascading effects in the modern digital ecosystem. It is especially worrying if these vulnerabilities repeat across many projects,…

cs.CR2025

A limited technical background is sufficient for attack-defense tree acceptability

Nathan Daniel Schiele, Olga Gadyatskaya

Attack-defense trees (ADTs) are a prominent graphical threat modeling method that is highly recommended for analyzing and communicating security-related information. Despite this,…

cs.CR2025

Attack Tree Distance: a practical examination of tree difference measurement within cyber security

Nathan D. Schiele, Olga Gadyatskaya

Attack trees are a popular threat modeling method. In practice, there is often a need to compare attack tree models produced by human experts, based on both the structure of the tr…

cs.LG2024

FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning

Xinyuan Ji, Zhaowei Zhu, Wei Xi +4

Federated Learning (FL) heavily depends on label quality for its performance. However, the label distribution among individual clients is always both noisy and heterogeneous. The h…

cs.CR2023

Automated generation of attack trees with optimal shape and labelling

Olga Gadyatskaya, Sjouke Mauw, Rolando Trujillo-Rasuac +1

This article addresses the problem of automatically generating attack trees that soundly and clearly describe the ways the system can be attacked. Soundness means that the attacks…

cs.LG2023

Meta Generative Flow Networks with Personalization for Task-Specific Adaptation

Xinyuan Ji, Xu Zhang, Wei Xi +3

Multi-task reinforcement learning and meta-reinforcement learning have been developed to quickly adapt to new tasks, but they tend to focus on tasks with higher rewards and more fr…

cs.CR2022★ 4 cited

Secure Software Development Methodologies: A Multivocal Literature Review

Arina Kudriavtseva, Olga Gadyatskaya

In recent years, the number of cyber attacks has grown rapidly. An effective way to reduce the attack surface and protect software is adoption of methodologies that apply security…

cs.CR2022★ 3 cited

Beyond the Surface: Investigating Malicious CVE Proof of Concept Exploits on GitHub

Soufian El Yadmani, Robin The, Olga Gadyatskaya

Exploit proof-of-concepts (PoCs) for known vulnerabilities are widely shared in the security community. They help security analysts to learn from each other and they facilitate sec…

cs.CR2021

A Novel Approach for Attack Tree to Attack Graph Transformation: Extended Version

Nathan Daniel Schiele, Olga Gadyatskaya

Attack trees and attack graphs are both common graphical threat models used by organizations to better understand possible cybersecurity threats. These models have been primarily s…

cs.CR2019★ 21 cited

Dissecting Android Cryptocurrency Miners

Stanislav Dashevskyi, Yury Zhauniarovich, Olga Gadyatskaya +2

Cryptojacking applications pose a serious threat to mobile devices. Due to the extensive computations, they deplete the battery fast and can even damage the device. In this work we…

cs.CR2019

Attribute Evaluation on Attack Trees with Incomplete Information

Ahto Buldas, Olga Gadyatskaya, Aleksandr Lenin +2

Attack trees are considered a useful tool for security modelling because they support qualitative as well as quantitative analysis. The quantitative approach is based on values ass…

cs.CR2018★ 5 cited

Fine-grained Code Coverage Measurement in Automated Black-box Android Testing

Aleksandr Pilgun, Olga Gadyatskaya, Stanislav Dashevskyi +2

Today, there are millions of third-party Android applications. Some of these applications are buggy or even malicious. To identify such applications, novel frameworks for automated…

cs.CR2015★ 2 cited

How to Generate Security Cameras: Towards Defence Generation for Socio-Technical Systems

Olga Gadyatskaya

Recently security researchers have started to look into automated generation of attack trees from socio-technical system models. The obvious next step in this trend of automated ri…

cs.CR2013★ 3 cited

MAP-REDUCE Runtime Enforcement of Information Flow Policies

Minh Ngo, Fabio Massacci, Olga Gadyatskaya

We propose a flexible framework that can be easily customized to enforce a large variety of information flow properties. Our framework combines the ideas of secure multi-execution…