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Outputs (132)

CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN (2018)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2018, April). CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN. Presented at 2018 3rd International Conference on Computer and Communication Systems (ICCCS), Nagoya, Japan

Acoustic Communication is one of the most common and popular techniques used for Underwater Sensor Networks. The design of its communication protocol becomes a challenge due to its features of high delay and low bandwidth. Relevant research work has... Read More about CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN.

Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things (2018)
Presentation / Conference Contribution
Semedo, F., Moradpoor, N., & Rafiq, M. (2018, September). Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things. Presented at 11th International Conference On Security Of Information and Networks, Cardiff, United Kingdom

The Internet of Things (IoT) can be described as the ever-growing global network of objects with built-in sensing and communication interfaces such as sensors, Global Positioning devices (GPS) and Local Area Network (LAN) interfaces. Security is by f... Read More about Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things.

Privacy Parameter Variation using RAPPOR on a Malware Dataset (2018)
Presentation / Conference Contribution
Aaby, P., Mata De Acuña, J. J., Macfarlane, R., & Buchanan, W. J. (2018, August). Privacy Parameter Variation using RAPPOR on a Malware Dataset. Presented at 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), New York, NY, USA

Stricter data protection regulations and the poor application of privacy protection techniques have resulted in a requirement for data-driven companies to adopt new methods of analysing sensitive user data. The RAPPOR (Randomized Aggregatable Privacy... Read More about Privacy Parameter Variation using RAPPOR on a Malware Dataset.

Intertwining and NCA Maps Based New Image Encryption Scheme (2018)
Presentation / Conference Contribution
Khan, F. A., Ahmed, J., Ahmad, J., Khan, J. S., & Stankovic, V. (2018, August). Intertwining and NCA Maps Based New Image Encryption Scheme. Presented at 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE), Southend, United Kingdom

In this digital era, the Internet is a main source of communication. Due to exponential advancement in Internet technologies, transmission of multimedia data is very common now. However, transmitting sensitive information over the Internet is always... Read More about Intertwining and NCA Maps Based New Image Encryption Scheme.

Correlation Power Analysis on the PRESENT Block Cipher on an Embedded Device (2018)
Presentation / Conference Contribution
Lo, O., Buchanan, W. J., & Carson, D. (2018, August). Correlation Power Analysis on the PRESENT Block Cipher on an Embedded Device. Presented at ACM Proceedings of the 13th International Conference on Availability, Reliability and Security, Hamburg, Germany

Traditional cryptographic techniques have proven to work well on most modern computing devices but they are unsuitable for devices (e.g. IoT devices) where memory, power consumption or processing power is limited. Thus, there has been an increasing a... Read More about Correlation Power Analysis on the PRESENT Block Cipher on an Embedded Device.

On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains (2018)
Presentation / Conference Contribution
Stone, C., Hart, E., & Paechter, B. (2018, September). On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains. Presented at Fifteenth International Conference on Parallel Problem Solving from Nature (PPSN XV), Coimbra, Portugal

Hyper-heuristic frameworks, although intended to be cross-domain at the highest level, rely on a set of domain-specific low-level heuristics at lower levels. For some domains, there is a lack of available heuristics, while for novel problems, no heur... Read More about On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains.

Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites (2018)
Presentation / Conference Contribution
Urquhart, N., & Hart, E. (2018, September). Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites. Presented at Parallel Problem Solving from Nature (PPSN) 2018, Coimbra, Portugal

Workforce Scheduling and Routing Problems (WSRP) are very common in many practical domains, and usually have a number of objectives. Illumination algorithms such as Map-Elites (ME) have recently gained traction in application to design problems, in p... Read More about Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites.

A Transparent Thread and Fiber Framework in C++CSP (2018)
Presentation / Conference Contribution
Chalmers, K. (2018, August). A Transparent Thread and Fiber Framework in C++CSP. Presented at Communicating Process Architectures, Dresden, Germany

There are multiple low-level concurrency primitives supported today, but these often require the programmer to be explicit in their implementation decisions at design time. This work illustrates how a process-oriented model written in C++CSP can hide... Read More about A Transparent Thread and Fiber Framework in C++CSP.

A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection (2018)
Presentation / Conference Contribution
Yu, Z., Yang, S., Zhou, K., & Aggoun, A. (2018, September). A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection. Presented at UK Workshop on Computational Intelligence, Nottingham

In this paper, we aim to develop a low-computational system for real-time image processing and analysis in endoscopy images for the early detection of the human esophageal adenocarcinoma and colorectal cancer. Rich statistical features are used to tr... Read More about A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection.