A SURVEY OF SECURITY VULNERABILITIES IN WIRELESS SENSOR NETWORKS

Sensor networks offer a powerful combination of distributed sensing, computing and communications. They lend themselves to countless applications and at the same time offer numerous challenges due to their peculiar nature which primarily are their stringent energy constraints to which sensing nodes typify and security vulnerabilities. Security concerns constitute a potential stumbling block to the impending wide deployment of wireless sensor networks (WSNs). Current developments in WSN protocols have not taken security into consideration. On the other hand, the salient features of WSNs make it very challenging to design strong security protocols while still maintaining low overheads. In this paper we provide a survey of typical attack scenarios on WSNs and provide some viable solutions while also elaborating on a number of important security issues. http://dx.doi.org/10.4314/njt.v35i2.2

On middleware issue for M-Commerce Technology

No Abstract.The Information Technologist Vol. 4(1) 2007: pp.104-11

Genetic Neuro-Fuzzy System for the Intelligent Recognition of Stroke

Stroke is a global pandemic, affecting both developed and developing countries. In Nigeria, a steady rise in affected patients is becoming noticeable to all which inspired the development of this research. Stroke is caused by high blood pressure, smoking cigarettes, family history of stroke, high cholesterol, diabetes, obesity, overweight and cardiovascular diseases which affect the brain and damage part of the body (legs, hand) coordinated by that part of the brain. The symptoms of stroke vary from numbness of the affected body part to poor speech recognition and loss of balance. In this work, geno-neurofuzzy system for the intelligent recognition of stroke is designed. Genetic algorithm is used for optimizing fuzzy set or rules, neural network provides the self-learning paradigm while fuzzy logic handles vagueness or imprecision of fuzzy set. The evaluation results show an effective way of determining and assessing the three different levels of stroke. This provides a decision support for the tele-medical diagnosis of stroke within the health sector.Keywords: Fuzzy logic, Genetic Algorithm, Neural Network, Strok