41 citations · 48 across the 6 of their papers we have counts for
7 papers
SecFlow: Adaptive Security-Aware Workflow Management System in Multi-Cloud Environments
Nafiseh Soveizi, Fatih Turkmen
In this paper, we propose an architecture for a security-aware workflow management system (WfMS) we call SecFlow in answer to the recent developments of combining workflow manageme…
Security and Privacy Concerns in Cloud-based Scientific and Business Workflows: A Systematic Review
Nafiseh Soveizi, Fatih Turkmen, Dimka Karastoyanova
Today, the number of data-intensive and compute-intensive applications like business and scientific workflows has dramatically increased, which made cloud computing more popular in…
Effectiveness and Scalability of Fuzzing Techniques in CI/CD Pipelines
Thijs Klooster, Fatih Turkmen, Gerben Broenink +2
Fuzzing has proven to be a fundamental technique to automated software testing but also a costly one. With the increased adoption of CI/CD practices in software development, a natu…
Blockchain for Genomics: A Systematic Literature Review
Mohammed Alghazwi, Fatih Turkmen, Joeri van der Velde +1
Human genomic data carry unique information about an individual and offer unprecedented opportunities for healthcare. The clinical interpretations derived from large genomic datase…
KotlinDetector: Towards Understanding the Implications of Using Kotlin in Android Applications
Fadi Mohsen, Loran Oosterhaven, Fatih Turkmen
Java programming language has been long used to develop native Android mobile applications. In the last few years many companies and freelancers have switched into using Kotlin par…
Privacy-preserving Logistic Regression with Secret Sharing
Ali Reza Ghavamipour, Fatih Turkmen, Xiaoqian Jian
Logistic regression (LR) is a widely used classification method for modeling binary outcomes in many medical data classification tasks. Research that collects and combines datasets…
Private Computation of Polynomials over Networks
Teimour Hosseinalizadeh, Fatih Turkmen, Nima Monshizadeh
This study concentrates on preserving privacy in a network of agents where each agent seeks to evaluate a general polynomial function over the private values of her immediate neigh…