All Outputs (47)

Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract) (2022)
Presentation / Conference Contribution
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022, September). Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). Presented at 27th European Symposium on Research in Computer Security

Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detecting attacks. However, the lack of transparency in their decision-making pro... Read More about Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract).

Investigating Machine Learning Attacks on Financial Time Series Models (2022)
Journal Article
Gallagher, M., Pitropakis, N., Chrysoulas, C., Papadopoulos, P., Mylonas, A., & Katsikas, S. (2022). Investigating Machine Learning Attacks on Financial Time Series Models. Computers and Security, 123, https://doi.org/10.1016/j.cose.2022.102933

Machine learning and Artificial Intelligence (AI) already support human decision-making and complement professional roles, and are expected in the future to be sufficiently trusted to make autonomous decisions. To trust AI systems with such tasks, a... Read More about Investigating Machine Learning Attacks on Financial Time Series Models.

GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture (2022)
Journal Article
Lo, O., Buchanan, W., Sayeed, S., Papadopoulos, P., Pitropakis, N., & Chrysoulas, C. (2022). GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture. Sensors, 22(6), Article 2291. https://doi.org/10.3390/s22062291

E-governance is a process that aims to enhance a government’s ability to simplify all the processes that may involve government, citizens, businesses, and so on. The rapid evolution of digital technologies has often created the necessity for the esta... Read More about GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture.

GLASS: Towards Secure and Decentralized eGovernance Services using IPFS (2022)
Presentation / Conference Contribution
Chrysoulas, C., Thomson, A., Pitropakis, N., Papadopoulos, P., Lo, O., Buchanan, W. J., Domalis, G., Karacapilidis, N., Tsakalidis, D., & Tsolis, D. (2021, October). GLASS: Towards Secure and Decentralized eGovernance Services using IPFS. Presented at 7th

The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation, broadened the attack surface and made them a popular target for cyber attacks.... Read More about GLASS: Towards Secure and Decentralized eGovernance Services using IPFS.

A security and authentication layer for SCADA/DCS applications (2021)
Journal Article
Homay, A., Chrysoulas, C., El Boudani, B., de Sousa, M., & Wollschlaeger, M. (2021). A security and authentication layer for SCADA/DCS applications. Microprocessors and Microsystems, 87, Article 103479. https://doi.org/10.1016/j.micpro.2020.103479

Mid 2010, a sophisticated malicious computer worm called Stuxnet targeted major ICS systems around the world causing severe damages to Siemens automation products. Stuxnet proved its ability to infect air-gapped-segregated critical computers control... Read More about A security and authentication layer for SCADA/DCS applications.

Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure (2021)
Presentation / Conference Contribution
Young, E. H., Chrysoulas, C., Pitropakis, N., Papadopoulos, P., & Buchanan, W. J. (2021, October). Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure. Paper presented at International Conference on Data Analyt

Little or no research has been directed to analysis and researching forensic analysis of the Bitcoin mixing or 'tumbling' service themselves. This work is intended to examine effective tooling and methodology for recovering forensic artifacts from tw... Read More about Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure.

Towards An SDN Assisted IDS (2021)
Presentation / Conference Contribution
Sutton, R., Ludwiniak, R., Pitropakis, N., Chrysoulas, C., & Dagiuklas, T. (2021). Towards An SDN Assisted IDS. In 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS). https://doi.org/10.1109/NTMS49979.2021.9432651

Modern Intrusion Detection Systems are able to identify and check all traffic crossing the network segments that they are only set to monitor. Traditional network infrastructures use static detection mechanisms that check and monitor specific types o... Read More about Towards An SDN Assisted IDS.

Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT (2021)
Journal Article
Papadopoulos, P., Thornewill Von Essen, O., Pitropakis, N., Chrysoulas, C., Mylonas, A., & Buchanan, W. J. (2021). Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. Journal of Cybersecurity and Privacy, 1(2), 252-273. http

As the internet continues to be populated with new devices and emerging technologies, the attack surface grows exponentially. Technology is shifting towards a profit-driven Internet of Things market where security is an afterthought. Traditional defe... Read More about Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT.

Programming Languages: A Usage-based Statistical Analysis and Visualization (2021)
Presentation / Conference Contribution
Orlowska, A., Chrysoulas, C., Jaroucheh, Z., & Liu, X. (2021). Programming Languages: A Usage-based Statistical Analysis and Visualization. In ICISS 2021: 2021 The 4th International Conference on Information Science and Systems (143-148). https://doi.org

Understanding the popularity, and its trend, of programming languages can be important to anticipate which languages are best studied for future use, which are widely supported for use in enterprise projects, and investigate which skills are easiest... Read More about Programming Languages: A Usage-based Statistical Analysis and Visualization.

A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda (2020)
Journal Article
Muller, L., Chrysoulas, C., Pitropakis, N., & Barclay, P. J. (2020). A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda. Big Data and Cognitive Computing, 4(4), Article 38. https://doi.org/10.3390/bdcc404

The shift towards microservisation which can be observed in recent developments of the cloud landscape for applications has led towards the emergence of the Function as a Service (FaaS) concept, also called Serverless. This term describes the event-d... Read More about A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda.

Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing (2020)
Journal Article
Buchanan, W. J., Imran, M. A., Ur-Rehman, M., Zhang, L., Abbasi, Q. H., Chrysoulas, C., Haynes, D., Pitropakis, N., & Papadopoulos, P. (2020). Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing. Frontiers in Communic

The outbreak of viruses have necessitated contact tracing and infection tracking methods. Despite various efforts, there is currently no standard scheme for the tracing and tracking. Many nations of the world have therefore, developed their own ways... Read More about Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing.

Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture) (2020)
Journal Article
El Boudani, B., Kanaris, L., Kokkinis, A., Kyriacou, M., Chrysoulas, C., Stavrou, S., & Dagiuklas, T. (2020). Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture). Sensor

In the near future, the fifth-generation wireless technology is expected to be rolled out, offering low latency, high bandwidth and multiple antennas deployed in a single access point. This ecosystem will help further enhance various location-based s... Read More about Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture).

Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM) (2020)
Presentation / Conference Contribution
Seuwou, P., Chrysoulas, C., Banissi, E., & Ubakanma, G. (2020). Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM). In Trends and Innovations in Information Systems and Technolo

The work presented in the paper aims at exploring information technology acceptance in the context of Autonomous Vehicles (AV) with the objectives of identifying and testing the constructs that will influence future AVs acceptance. Most models of tec... Read More about Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM).

Multi-label Classifier to Deal with Misclassification in Non-functional Requirements (2020)
Presentation / Conference Contribution
Sabir, M., Chrysoulas, C., & Banissi, E. (2020). Multi-label Classifier to Deal with Misclassification in Non-functional Requirements. In Trends and Innovations in Information Systems and Technologies: Volume 1 (486-493). https://doi.org/10.1007/978-3-03

Automatic classification of software requirements is an active research area; it can alleviate the tedious task of manual labeling and improves transparency in the requirements engineering process. Several attempts have been made towards the identifi... Read More about Multi-label Classifier to Deal with Misclassification in Non-functional Requirements.

Class Feature Pyramids for Video Explanation (2020)
Presentation / Conference Contribution
Stergiou, A., Kapidis, G., Kalliatakis, G., Chrysoulas, C., Poppe, R., & Veltkamp, R. (2020). Class Feature Pyramids for Video Explanation. . https://doi.org/10.1109/iccvw.2019.00524

Deep convolutional networks are widely used in video action recognition. 3D convolutions are one prominent approach to deal with the additional time dimension. While 3D convolutions typically lead to higher accuracies, the inner workings of the tra... Read More about Class Feature Pyramids for Video Explanation.

Granularity Cost Analysis for Function Block as a Service (2020)
Presentation / Conference Contribution
Homay, A., Zoitl, A., de Sousa, M., Wollschlaeger, M., & Chrysoulas, C. (2020). Granularity Cost Analysis for Function Block as a Service. . https://doi.org/10.1109/indin41052.2019.8972205

The main challenge of exposing IEC61499 or IEC61131-3 Function Blocks as a service remains in adopting service-oriented concepts in function block programming. Implementing an IEC61499 or IEC61131-3 Function Block that is being accessed via service-o... Read More about Granularity Cost Analysis for Function Block as a Service.

Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT (2020)
Presentation / Conference Contribution
Ashiq, S., Chrysoulas, C., & Banissi, E. (2020). Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT. . https://doi.org/10.1109/icic48496.2019.8966710

Green Information System/Technology adoption is one of the key solutions sought by organisations, policy makers and governments to promote sustainability and deal with environmental issues. Surprisingly, in the research discipline of management infor... Read More about Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT.

Personalized Micro-Service Recommendation System for Online News (2019)
Presentation / Conference Contribution
Asenova, M., & Chrysoulas, C. (2019). Personalized Micro-Service Recommendation System for Online News. Procedia Computer Science, 160, 610-615. https://doi.org/10.1016/j.procs.2019.11.039

In the era of artificial intelligence and high technology advance our life is dependent on them in every aspect. The dynamic environment forces us to plan our time with conscious and every minute is valuable. To help individuals and corporations see... Read More about Personalized Micro-Service Recommendation System for Online News.

Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions (2019)
Presentation / Conference Contribution
Stergiou, A., Kapidis, G., Kalliatakis, G., Chrysoulas, C., Veltkamp, R., & Poppe, R. (2019). Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions. . https://doi.org/10.1109/icip.2019.8803153

Deep learning approaches have been established as the main methodology for video classification and recognition. Recently, 3-dimensional convolutions have been used to achieve state-of-the-art performance in many challenging video datasets. Because o... Read More about Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions.

Authentication Layer for IEC 61113-3 Applications (2019)
Presentation / Conference Contribution
Homay, A., Chrysoulas, C., & de Sousa, M. (2019). Authentication Layer for IEC 61113-3 Applications. . https://doi.org/10.1109/ntms.2019.8763839

Mid 2010, the Stuxnet ICS attack targeted the Siemens automation products, and after this attack the ICS security was thrust into spotlight, automation products suppliers started to re-examine their business approach to cyber security. The OPC Founda... Read More about Authentication Layer for IEC 61113-3 Applications.