All Outputs (62)

Towards An SDN Assisted IDS (2021)
Presentation / Conference Contribution
Sutton, R., Ludwiniak, R., Pitropakis, N., Chrysoulas, C., & Dagiuklas, T. (2021, April). Towards An SDN Assisted IDS. Presented at IFIP NTMS Workshop on CyberSecurity on Hardware 2021, Paris, France

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. https://doi.org/10.3390/jcp1020014

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, March). Programming Languages: A Usage-based Statistical Analysis and Visualization. Presented at ICISS 2021: 2021 The 4th International Conference on Information Science and Systems, Edinburgh

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/bdcc4040038

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 Communications and Networks, https://doi.org/10.3389/frcmn.2020.583376

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). Sensors, 20(19), Article 5495. https://doi.org/10.3390/s20195495

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).

Multi-label Classifier to Deal with Misclassification in Non-functional Requirements (2020)
Presentation / Conference Contribution
Sabir, M., Chrysoulas, C., & Banissi, E. (2020, April). Multi-label Classifier to Deal with Misclassification in Non-functional Requirements. Presented at WorldCist 2020: 8th World Conference on Information Systems and Technologies, Budva, Montenegro

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.

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, April). Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM). Presented at WorldCIST: World Conference on Information Systems and Technologies, Budva, Montenegro

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).

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, November). Personalized Micro-Service Recommendation System for Online News. Presented at The 6th International Symposium on Emerging Information, Communication and Networks (EICN 2019), Coimbra, Portugal

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.

ProMe: A Mentoring Platform for Older Adults Using Machine Learning Techniques for Supporting the “Live and Learn” Concept (2018)
Journal Article
Kostopoulos, G., Neureiter, K., Papatoiu, D., Tscheligi, M., & Chrysoulas, C. (2018). ProMe: A Mentoring Platform for Older Adults Using Machine Learning Techniques for Supporting the “Live and Learn” Concept. Mobile Information Systems, 2018, 1-8. https://doi.org/10.1155/2018/9723268

It is well known what an important role employment plays in our lives and how it influences our everyday life. With the help of employment, all of us as individuals manage to create our personal and social net that not only gives meaning and financia... Read More about ProMe: A Mentoring Platform for Older Adults Using Machine Learning Techniques for Supporting the “Live and Learn” Concept.

Teaching Industrial Automation Concepts with the use of Virtual/Augmented Reality - The IEC 61499 Case (2018)
Presentation / Conference Contribution
Chrysoulas, C., Homay, A., & Lemac, M. (2018). Teaching Industrial Automation Concepts with the use of Virtual/Augmented Reality - The IEC 61499 Case. . https://doi.org/10.1109/ithet.2018.8424784

We propose a framework for teaching complex industrial automation concepts with the help of Virtual/Augmented reality. Initially we construct the needed 3D models like conveyors belts, and liquid tanks to be used as testbed examples for the proposed... Read More about Teaching Industrial Automation Concepts with the use of Virtual/Augmented Reality - The IEC 61499 Case.

Traffic Sign Recognition based on Synthesised Training Data (2018)
Journal Article
Stergiou, A., Kalliatakis, G., & Chrysoulas, C. (2018). Traffic Sign Recognition based on Synthesised Training Data. Big Data and Cognitive Computing, 2(3), Article 19. https://doi.org/10.3390/bdcc2030019

To deal with the richness in visual appearance variation found in real-world data, we propose to synthesise training data capturing these differences for traffic sign recognition. The use of synthetic training data, created from road traffic sign tem... Read More about Traffic Sign Recognition based on Synthesised Training Data.

QoS provisioning in a service-oriented architecture targeting the smart grid world (2018)
Journal Article
Chrysoulas, E. (2018). QoS provisioning in a service-oriented architecture targeting the smart grid world. International Journal of Smart Grid and Green Communications, 1(3), 216-226. https://doi.org/10.1504/ijsggc.2018.091350

In today's liberalised market of energy, dynamic selections of services (energy consumption or even energy production) and by extension of service providers are crucial. It is equally important for service providers to spot the one quality of service... Read More about QoS provisioning in a service-oriented architecture targeting the smart grid world.

Building an Adaptive E-Learning System (2017)
Presentation / Conference Contribution
Chrysoulas, C., & Fasli, M. (2017). Building an Adaptive E-Learning System. In Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU (375-382). https://doi.org/10.5220/0006326103750382

Research in adaptive learning is mainly focused on improving learners’ learning achievements based mainly on personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning... Read More about Building an Adaptive E-Learning System.

Towards an adaptive SOA-based QoS & Demand-Response Provisioning Architecture for the Smart Grid (2017)
Journal Article
Chrysoulas, C., & Fasli, M. (2017). Towards an adaptive SOA-based QoS & Demand-Response Provisioning Architecture for the Smart Grid. Journal of Communications Software and Systems, 13(2), 77. https://doi.org/10.24138/jcomss.v13i2.375

Dynamic selection of services and by extension of service providers are vital in today’s liberalized market of energy. On the other hand it is equally important for Service Providers to spot the one QoS Module that offers the best QoS level in a give... Read More about Towards an adaptive SOA-based QoS & Demand-Response Provisioning Architecture for the Smart Grid.