41 citations · 54 across the 15 of their papers we have counts for
15 papers
AdProv: A Method for Provenance of Process Adaptations
Ludwig Stage, Mirela Riveni, Raimundas Matulevičius +1
Provenance in scientific workflows is essential for understand- ing and reproducing processes, while in business processes, it can ensure compliance and correctness and facilitates…
Change Logging and Mining of Change Logs of Business Processes -- A Literature Review
Arash Yadegari Ghahderijani, Hande Naz Turgay, Dimka Karastoyanova
Context: Change mining enables organizations to understand the changes that occurred in their business processes. This allows them to enhance their business processes and adapt to…
Provenance of Adaptation in Scientific and Business Workflows -- Literature Review
Ludwig Stage, Julia Dahlberg, Dimka Karastoyanova
In the world of science new technology have opened up the possibility to rely on advanced computational methods and models to conduct and produce scientific research. An important…
Reinforcement Learning-Driven Adaptation Chains: A Robust Framework for Multi-Cloud Workflow Security
Nafiseh Soveizi, Dimka Karastoyanova
Cloud computing has emerged as a crucial solution for managing data- and compute-intensive workflows, offering scalability to address dynamic demands. However, security concerns pe…
VPAS: Publicly Verifiable and Privacy-Preserving Aggregate Statistics on Distributed Datasets
Mohammed Alghazwi, Dewi Davies-Batista, Dimka Karastoyanova +1
Aggregate statistics play an important role in extracting meaningful insights from distributed data while preserving privacy. A growing number of application domains, such as healt…
Classification of Radio Galaxies with trainable COSFIRE filters
Steven Ndungu, Trienko Grobler, Stefan J. Wijnholds Dimka Karastoyanova +1
Radio galaxies exhibit a rich diversity of characteristics and emit radio emissions through a variety of radiation mechanisms, making their classification into distinct types based…
Trusted Provenance of Automated, Collaborative and Adaptive Data Processing Pipelines
Ludwig Stage, Dimka Karastoyanova
To benefit from the abundance of data and the insights it brings data processing pipelines are being used in many areas of research and development in both industry and academia. O…
Enhancing Workflow Security in Multi-Cloud Environments through Monitoring and Adaptation upon Cloud Service and Network Security Violations
Nafiseh Soveizi, Dimka Karastoyanova
Cloud computing has emerged as a crucial solution for handling data- and compute-intensive workflows, offering scalability to address dynamic demands. However, ensuring the secure…
Deep supervised hashing for fast retrieval of radio image cubes
Steven Ndung'u, Trienko Grobler, Stefan J. Wijnholds +2
The shear number of sources that will be detected by next-generation radio surveys will be astronomical, which will result in serendipitous discoveries. Data-dependent deep hashing…
Verifiable Privacy-Preserving Computing
Tariq Bontekoe, Dimka Karastoyanova, Fatih Turkmen
Privacy-preserving computation (PPC) methods, such as secure multiparty computation (MPC) and homomorphic encryption (HE), are deployed increasingly often to guarantee data confide…
Advances on the classification of radio image cubes
Steven Ndung'u, Trienko Grobler, Stefan J. Wijnholds +2
Modern radio telescopes will daily generate data sets on the scale of exabytes for systems like the Square Kilometre Array (SKA). Massive data sets are a source of unknown and rare…
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…
To remove or not remove Mobile Apps? A data-driven predictive model approach
Fadi Mohsen, Dimka Karastoyanova, George Azzopardi
Mobile app stores are the key distributors of mobile applications. They regularly apply vetting processes to the deployed apps. Yet, some of these vetting processes might be inadeq…
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…
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise
Guru Swaroop Bennabhaktula, Enrique Alegre, Dimka Karastoyanova +1
One of the challenging problems in digital image forensics is the capability to identify images that are captured by the same camera device. This knowledge can help forensic expert…