Bluetooth is a typical short-range radio packet ad-hoc technique that is attractive in the rapid formation of a personal area network and inter-connection of different portable mobile devices. Compared with many high-speed wireless LAN techniques, Bluetooth provides a moderate link speed because each link is only allocated with 1 MHz bandwidth. In order to increase the link utilization, Bluetooth introduces the flexible usage of asymmetric link capacity allocation. It means different speeds are allowed in two directions of a link that flow from the master to the slave and from the slave to the master. Because of this, it is possible for Bluetooth to adaptively adjust the link capacity distribution to increase the link performance with lower latency. In this paper, we use the delay cost function to analyse the capacity assignment for a Bluetooth link. Although it only focuses in solving the capacity assignment of a single link, it is also applicable to large-size multi-link and multi-hop networks. It could be extended to generic data networks with asymmetric links.

The growing dependence of modern society on telecommunication and information networks and e‐type systems has become inevitable. However, those types of systems are vulnerable to malicious attacks. The speed and automation in network attack techniques continue to increase. An achievable automated attack or unauthorised access to a particular organization network could lead to devastating effects on its reputation and imminent loss of life. In this paper an innovative way is proposed to detect network attacks of a distributed nature such as denial of service (DoS) attacks. The proposed scheme is mainly based on neuro‐fuzzy intelligence in order to learn and determine the fuzzy parameter functions that represent network traffic behaviour. Neuro‐fuzzy agents combine the features of fuzzy logic and neural networks and they have been proposed to overcome the limitations of human expertise in defining fuzzy membership functions, especially for complex environments, such as information networks.

In today’s society, information and communications technology (ICT) is the force that drives prosperity and provides a higher standard of living. All other e‐services and infrastructures tend to play a major role in our daily life and global economy. The growing dependence on such systems, however, has increased their vulnerability to cyber attacks. Any failure to these systems typically would lead to a huge impact, not only on businesses, but also human life, that depends on such interconnected systems. The growing potential for telecommunications network infrastructures problems stems from their nature of openness. A successful attempt for a network attack to a particular organization’s network could have devastating effects on the security of the organisation. In this paper we propose an innovative way to counteract distributed protocols attacks such as distributed denial of service (DDoS) attacks using intelligent fuzzy agents.

Abstract This paper is concerned with the implementation of functional languages on a parallel architecture, using graph reduction as a model of computation. Parallelism in such systems is automatically derived by the compiler but a major problem is the fine granularity, illustrated in Divide‐and‐Conquer problems at the leaves of the computational tree. The paper addresses this issue and proposes a method based on static analysis combined with run‐time tests to remove the excess in parallelism. We report experiments on a prototype machine, simulated on several connected INMOS transputers. Performance figures show the benefits in adopting the method and the difficulty of automatically deriving the optimum partitioning due to differences among the problems.

This paper discusses the implementation of a parallel text retrieval system using a microprocessor network. The system is designed to allow fast searching in document databases organised using the serial file structure, with a very rapid initial text signature search being followed by a more detailed, but more time-consuming, pattern matching search. The network is built from transputers, high performance microprocessors developed specifically for the construction of highly parallel computing systems, which are linked together in a processor farm. The paper discusses the design and implementation of processor farms, and then reports our initial studies of the efficiency of searching that can be achieved using this approach to text retrieval from serial files.