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Detecting Ransomware Using Process Behavior Analysis (2020)
Journal Article
Arabo, A., Dijoux, R., Poulain, T., & Chevalier, G. (2020). Detecting Ransomware Using Process Behavior Analysis. Procedia Computer Science, 168, 289-296. https://doi.org/10.1016/j.procs.2020.02.249

Ransomware attacks are one of the biggest and attractive threats in cyber security today. Anti-virus software's are often inefficient against zero-day malware and ransomware attacks, important network infections could result in a large amount of data... Read More about Detecting Ransomware Using Process Behavior Analysis.

Preserving linguistic heritage for generations to come! (2020)
Presentation / Conference
Ogunshile, E., & Ramachandran, R. (2020, September). Preserving linguistic heritage for generations to come!. Paper presented at DiPP 2020 : Digital Presentation and Preservation of Cultural and Scientific Heritage, Burgas, Bulgaria

Speech to Text is the ability to convert spoken word to text. There are many speech to text con-version applications available for different languages. Tamil is an ancient classical language which is vastly spoken in southern parts of India, Sri Lank... Read More about Preserving linguistic heritage for generations to come!.

Crowd-driven Music: Interactive and Generative Approaches using Machine Vision and Manhattan (2020)
Conference Proceeding
Nash, C. (in press). Crowd-driven Music: Interactive and Generative Approaches using Machine Vision and Manhattan

This paper details technologies and artistic approaches to crowd-driven music, discussed in the context of a live public installation in which activity in a public space (e.g. a busy railway platform) is used to drive the automated composition and pe... Read More about Crowd-driven Music: Interactive and Generative Approaches using Machine Vision and Manhattan.

There and Back Again: The Practicality of GPU Accelerated Digital Audio (2020)
Presentation / Conference
Renney, H., Gaster, B. R., & Mitchell, T. J. (2020, July). There and Back Again: The Practicality of GPU Accelerated Digital Audio. Paper presented at NIME’20: Proceedings of the 20th New Interfaces for Musical Expression, Online

General-Purpose GPU computing is becoming an increas-ingly viable option for acceleration, including in the audiodomain. Although it can improve performance, the intrin-sic nature of a device like the GPU involves data transfersand execution commands... Read More about There and Back Again: The Practicality of GPU Accelerated Digital Audio.

A multi agent-based approach for energy efficient water resource management (2020)
Journal Article
Aydin, M. E., & Keles, R. (in press). A multi agent-based approach for energy efficient water resource management. Computers and Industrial Engineering,

Water supply remains one of globally recognised challenging problems due to the scarcity in the water sources, the environmental concerns and hardness in access to clean and fresh water. Besides, energy consumption is also under focus as much as acce... Read More about A multi agent-based approach for energy efficient water resource management.

An algorithm for implementing and generating test cases from a minimal stream X- Machine (2020)
Conference Proceeding
Ogunshile, E., & Phung, K. (in press). An algorithm for implementing and generating test cases from a minimal stream X- Machine

The rapid change of requirements has made software more complex and harder to maintain. Software testing tools play an important role in the Software Development Life Cycle. However, many technology companies have employed fast paced development of s... Read More about An algorithm for implementing and generating test cases from a minimal stream X- Machine.

க ோVID -19: A focus on codemixing and codeswitching in Tamil speech to text (2020)
Conference Proceeding
Ogunshile, E., & Ramachandran, R. (in press). க ோVID -19: A focus on codemixing and codeswitching in Tamil speech to text

This paper attempts to develop an application that converts Tamil language speech to Tamil text, with a view to encourage usage and indirectly ensure linguistic preservation of a classical language. The application converts spoken Tamil to text wit... Read More about க ோVID -19: A focus on codemixing and codeswitching in Tamil speech to text.

C-19 C – A mobile application to support the community during Covid-19 lockdown (2020)
Conference Proceeding
Ogunshile, E., Phung, K., & Odongo, S. (in press). C-19 C – A mobile application to support the community during Covid-19 lockdown

Whenever the world is faced with a devastating outbreak of events, technology innovations have proven to be a go to solution that expedite the recovery process. We propose a mobile application rapidly developed as a contender to the TechForce19 innov... Read More about C-19 C – A mobile application to support the community during Covid-19 lockdown.

Computational intelligence-enabled cybersecurity for the Internet of Things (2020)
Journal Article
Zhao, S., Li, S., Qi, L., & Xu, L. D. (in press). Computational intelligence-enabled cybersecurity for the Internet of Things. IEEE Transactions on Emerging Topics in Computational Intelligence, https://doi.org/10.1109/TETCI.2019.2941757

The computational intelligence (CI) based technologies play key roles in campaigning cybersecurity challenges in complex systems such as the Internet of Things (IoT), cyber-physical-systems (CPS), etc. The current IoT is facing increasingly security... Read More about Computational intelligence-enabled cybersecurity for the Internet of Things.

The visual design of network data to enhance cyber security awareness of the everyday internet user (2020)
Presentation / Conference
Carroll, F., Legg, P., & Bønkel, B. (2020, June). The visual design of network data to enhance cyber security awareness of the everyday internet user. Paper presented at IEEE International Conference on Cyber Situational Awareness, Data Analytics and Assessment (Cyber Science 2020)

Technology and the use of online services are very prevalent across much of our everyday lives. As our digital interactions continue to grow, there is a need to improve public awareness of the risks to our personal online privacy and security. Design... Read More about The visual design of network data to enhance cyber security awareness of the everyday internet user.

"What did you say?": Extracting unintentional secrets from predictive text learning systems (2020)
Presentation / Conference
Wilkinson, G., & Legg, P. (2020, June). "What did you say?": Extracting unintentional secrets from predictive text learning systems. Paper presented at IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Science 2020)

As a primary form of communication, text is used widely in applications including e-mail conversations, mobile text messaging, chatrooms, and forum discussions. Modern systems include facilities such as predictive text, recently implemented using dee... Read More about "What did you say?": Extracting unintentional secrets from predictive text learning systems.

Shouting through letterboxes: A study on attack susceptibility of voice assistants (2020)
Presentation / Conference
Mccarthy, A., Gaster, B., & Legg, P. (2020, June). Shouting through letterboxes: A study on attack susceptibility of voice assistants. Paper presented at IEEE International Conference on Cyber Security and the Protection of Digital Services (Cyber Science 2020)

Voice assistants such as Amazon Echo and Google Home have become increasingly popular for many home users, for home automation, entertainment, and convenience. These devices process speech commands from a user to execute some action, such as playing... Read More about Shouting through letterboxes: A study on attack susceptibility of voice assistants.

Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases (2020)
Conference Proceeding
Durgut, R., Baydilli, Y. Y., & Aydin, M. E. (2020). Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases. In Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. , (338-351). https://doi.org/10.1007/978-3-030-48791-1_26

Parkinson’s is a brain disease that affects the quality of human life significantly with very slow progresses. It is known that early diagnosis is of great importance to arrange relevant and efficient treatments. Data analytics and particularly predi... Read More about Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases.

A reflection on the design and user acceptance of Tamil talk (2020)
Journal Article
Ramachandran, R., & Ogunshile, E. (in press). A reflection on the design and user acceptance of Tamil talk. Proceedings of the Institute for System Programming of the RAS,

Tamil talk is a speech to text application and was designed from a perspective of language and philosophy. This paper takes an indigenous approach in reflecting on the design and user acceptance of Tamil talk. The paper makes use of literature in cri... Read More about A reflection on the design and user acceptance of Tamil talk.

Exploring distributed control with the NK model (2020)
Journal Article
Bull, L. (2020). Exploring distributed control with the NK model. International Journal of Parallel, Emergent and Distributed Systems, 35(4), 413-422. https://doi.org/10.1080/17445760.2020.1760864

The NK model has been used widely to explore aspects of natural evolution and complex systems. This paper introduces a modified form of the NK model for exploring distributed control in complex systems such as organisations, social networks, collecti... Read More about Exploring distributed control with the NK model.

Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector (2020)
Conference Proceeding
Mahmood, T., & Munir, K. (2020). Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector. https://doi.org/10.5220/0009325201690176

Telecom sector has always been working hard to improve network quality to satisfy end user services. Fixing telecom network errors (hardware and software) precisely and quickly is a main factor to improve quality of services. Telecom operators are sp... Read More about Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector.

Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment (2020)
Journal Article
Zhong, W., Yin, X., Zhang, X., Li, S., Dou, W., Wang, R., & Qi, L. (2020). Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment. Computer Communications, 157, 116-123. https://doi.org/10.1016/j.comcom.2020.04.018

© 2020 Elsevier B.V. With the advance of mobile edge computing (MEC), the number of edge services running on mobile devices grows explosively. In this situation, it is becoming a necessity to recommend the most suitable edge services to a mobile user... Read More about Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment.


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