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All Outputs (2146)

Draw a line on your PDA to authenticate
Presentation / Conference Contribution
Liu, X., Ren, Z., Chang, X., Gao, H., & Aickelin, U. Draw a line on your PDA to authenticate. Presented at Symposium on Usable Privacy and Security, SOUPS2010

The trend toward a highly mobile workforce and the ubiquity of graphical interfaces (such as the stylus and touch-screen) has enabled the emergence of graphical authentications in Personal Digital Assistants (PDAs) [1]. However, most of the current g... Read More about Draw a line on your PDA to authenticate.

Information fusion in the immune system
Journal Article
Twycross, J., & Aickelin, U. Information fusion in the immune system. Information Fusion, 11(1), https://doi.org/10.1016/j.inffus.2009.04.008

Biologically-inspired methods such as evolutionary algorithms and neural networks are proving useful in
the field of information fusion. Artificial immune systems (AISs) are a biologically-inspired approach which take inspiration from the biological... Read More about Information fusion in the immune system.

Against spyware using CAPTCHA in graphical password scheme
Journal Article
Wang, L., Chang, X., Ren, Z., Haichang, G., Liu, X., & Aickelin, U. Against spyware using CAPTCHA in graphical password scheme. https://doi.org/10.1109/AINA.2010.46

Text-based password schemes have inherent security and usability problems, leading to the development of graphical
password schemes. However, most of these alternate schemes are vulnerable to spyware attacks. We propose a new scheme, using CAPTCHA (... Read More about Against spyware using CAPTCHA in graphical password scheme.

The transfer of evolved artificial immune system behaviours between small and large scale robotic platforms
Book Chapter
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. The transfer of evolved artificial immune system behaviours between small and large scale robotic platforms. In P. Collet, N. Monmarché, P. Legrand, M. Schoenauer, & E. Lutton (Eds.), Artificial evolution: 9th International Conference = Evolution Artificielle, EA 2009: Strasbourg, France, October 26-28, 2009: revised selected papers. Springer

This paper demonstrates that a set of behaviours evolved in
simulation on a miniature robot (epuck) can be transferred to a much larger scale platform (a virtual Pioneer P3-DX) that also differs in shape, sensor type, sensor configuration and progra... Read More about The transfer of evolved artificial immune system behaviours between small and large scale robotic platforms.

Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot
Journal Article
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot. Applied Soft Computing, 10(3), https://doi.org/10.1016/j.asoc.2009.10.005

A combined short-term learning (STL) and long-term learning (LTL) approach to solving mobile-robot
navigation problems is presented and tested in both the real and virtual domains. The LTL phase consists
of rapid simulations that use a genetic algo... Read More about Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot.

System dynamics modelling of the processes involving the maintenance of the naive T cell repertoire
Book Chapter
Figueredo, G. P., Aickelin, U., & Whitbrook, A. System dynamics modelling of the processes involving the maintenance of the naive T cell repertoire. In Proceedings of the 9th Annual Workshop on Computational Intelligence (UKCI 2009), Nottingham, UK. Intelligent Modelling & Analysis (IMA)

The study of immune system aging, i.e. immunosenescence, is a relatively new research topic. It deals with understanding the processes of immuno-degradation that indicate signs of functionality loss possibly leading to death. Even though it is not po... Read More about System dynamics modelling of the processes involving the maintenance of the naive T cell repertoire.

PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm
Presentation / Conference Contribution
Gu, F., Greensmith, J., Oates, R., & Aickelin, U. PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm. Presented at 9th Annual Workshop on Computational Intelligence (UKCI 2009)

As one of the newest members in the field of articial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is
based on behavioural models of natural dendritic cells (DCs). Unlike other AIS, the DCA does not rely on training data, instead domain... Read More about PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm.

Modelling and analysing cargo screening processes: a project outline
Presentation / Conference Contribution
Siebers, P.-O., Aickelin, U., Menachof, D., & Sherman, G. Modelling and analysing cargo screening processes: a project outline. Presented at 2009 INFORMS Simulation Society Research Workshop: Simulation: At the Interface of Modeling and Analysis

The efficiency of current cargo screening processes at sea
and air ports is unknown as no benchmarks exists against which they could be measured. Some manufacturer benchmarks exist for individual sensors but we have not found any benchmarks that tak... Read More about Modelling and analysing cargo screening processes: a project outline.

Development of a cargo screening process simulator: a first approach
Presentation / Conference Contribution
Siebers, P.-O., Sherman, G., & Aickelin, U. Development of a cargo screening process simulator: a first approach. Presented at 6th International Mediterranean Modeling Multiconference (EMSS 2009)

The efficiency of current cargo screening processes at sea and air ports is largely unknown as few benchmarks exists against which they could be measured. Some manufacturers provide benchmarks for individual sensors but we found no benchmarks that ta... Read More about Development of a cargo screening process simulator: a first approach.

Optimisation of a crossdocking distribution centre simulation model
Book Chapter
Adewunmi, A., & Aickelin, U. Optimisation of a crossdocking distribution centre simulation model. In Proceedings of the 2008 International Simulation Multi-conference. The Society For Modeling and Simulation International (SCS)

This paper reports on continuing research into the
modelling of an order picking process within a
Crossdocking distribution centre using Simulation
Optimisation. The aim of this project is to optimise a
discrete event simulation model and to unde... Read More about Optimisation of a crossdocking distribution centre simulation model.

ToLeRating UR-STD
Presentation / Conference Contribution
Feyereisl, J., & Aickelin, U. ToLeRating UR-STD. Presented at 2nd International Conference on Emerging Security Information, Systems and Technologies

A new emerging paradigm of Uncertain Risk of Suspicion, Threat and Danger, observed across the field of information security, is described. Based on this paradigm a novel approach to anomaly detection is presented. Our approach is based on a simple y... Read More about ToLeRating UR-STD.

The deterministic Dendritic Cell Algorithm
Presentation / Conference Contribution
Greensmith, J., & Aickelin, U. The deterministic Dendritic Cell Algorithm. Presented at 7th International Conference on Artificial Immune Systems (ICARIS2008)

The Dendritic Cell Algorithm is an immune-inspired algorithm originally based on the function of natural dendritic cells. The original instantiation of the algorithm is a highly stochastic algorithm. While the performance of the algorithm is good whe... Read More about The deterministic Dendritic Cell Algorithm.

The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms
Journal Article
Greensmith, J., Feyereisl, J., & Aickelin, U. The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms. Evolutionary Intelligence, 1(2), https://doi.org/10.1007/s12065-008-0008-6

The dendritic cell algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation which results in a ‘context aware’ detection system. Previous applicat... Read More about The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms.

Modelling and analysing human behaviour in a department store using discrete event and agent based simulation
Presentation / Conference Contribution
Majid, M. A., Aickelin, U., & Siebers, P.-O. Modelling and analysing human behaviour in a department store using discrete event and agent based simulation. Presented at Annual Operational Research Conference 50 (OR 50)

Discrete Event Simulation (DES) is a very popular simulation technique in Operational Research. Recently, there has been the emergence of another technique, namely Agent Based Simulation (ABS). Although there is a lot of literature relating to DES an... Read More about Modelling and analysing human behaviour in a department store using discrete event and agent based simulation.

Agent based simulation as a novel decision support tool for retail managers
Presentation / Conference Contribution
Siebers, P.-O., Aickelin, U., Celia, H., & Clegg, C. Agent based simulation as a novel decision support tool for retail managers. Presented at ECMI 2008 - European Consortium for Mathematics in Industry

Intelligent agents offer a new and exciting way of understanding the world of work. We apply
agent-based simulation to investigate a set of problems in a retail context. Specifically, we are
working to understand the relationship between human reso... Read More about Agent based simulation as a novel decision support tool for retail managers.

An idiotypic immune network as a short-term learning architecture for mobile robots
Book Chapter
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. An idiotypic immune network as a short-term learning architecture for mobile robots. In P. Bentley, D. Lee, & S. Jung (Eds.), Artificial immune systems: 7th international conference, ICARIS 2008, Phuket, Thailand, August 10-13, 2008: proceedings. Springer

A combined Short-Term Learning (STL) and Long-Term Learning (LTL) approach to solving mobile robot navigation problems is presented and tested in both real and simulated environments. The LTL consists of rapid simulations
that use a Genetic Algorith... Read More about An idiotypic immune network as a short-term learning architecture for mobile robots.

Genetic algorithm seeding of idiotypic networks for mobile-robot navigation
Presentation / Conference Contribution
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. Genetic algorithm seeding of idiotypic networks for mobile-robot navigation. Presented at 5th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2008)

Robot-control designers have begun to exploit the properties of the human immune system in order to
produce dynamic systems that can adapt to complex, varying, real-world tasks. Jerne’s idiotypic-network theory has proved the most popular artificial... Read More about Genetic algorithm seeding of idiotypic networks for mobile-robot navigation.

Investigating a Hybrid Metaheuristic For Job Shop Rescheduling
Presentation / Conference Contribution
Abdullah, S., Aickelin, U., Burke, E., Din, A., & Qu, R. Investigating a Hybrid Metaheuristic For Job Shop Rescheduling. Presented at Proceedings of the 3rd Australian Conference on Artificial Life (ACAL.07)

Previous research has shown that artificial immune systems can be used to produce robust schedules in a manufacturing environment. The main goal is to develop building blocks (antibodies) of partial schedules that can be used to construct backup solu... Read More about Investigating a Hybrid Metaheuristic For Job Shop Rescheduling.