Universiti Teknologi Petronas

About: Universiti Teknologi Petronas is a education organization based out in Ipoh, Malaysia. It is known for research contribution in the topics: Adsorption & Ionic liquid. The organization has 6127 authors who have published 11284 publications receiving 119400 citations.

Application of artificial neural network in detection of probing attacks

Abstract: The prevention of any type of cyber attack is indispensable because a single attack may break the security of computer and network systems. The hindrance of such attacks is entirely dependent on their detection. The detection is a major part of any security tool such as Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Adaptive Security Alliance (ASA), check points and firewalls. Consequently, in this paper, we are contemplating the feasibility of an approach to probing attacks that are the basis of others attacks in computer network systems. Our approach adopts a supervised neural network phenomenon that is majorly used for detecting security attacks. The proposed system takes into account Multiple Layered Perceptron (MLP) architecture and resilient backpropagation for its training and testing. The system uses sampled data from Kddcup99 dataset, an attack database that is a standard for evaluating the security detection mechanisms. The developed system is applied to different probing attacks. Furthermore, its performance is compared to other neural networks' approaches and the results indicate that our approach is more precise and accurate in case of false positive, false negative and detection rate.

Kinetic study of the catalytic pyrolysis of paddy husk by use of thermogravimetric data and the Coats–Redfern model

Abstract: Thermogravimetric data, the Coats–Redfern free integral method, and correlation coefficients obtained by use of different reaction models were used to study the kinetic characteristics of non-catalytic and catalytic pyrolysis of biomass. Zeolite catalysts (ZSM-5, MCM-22, and ITQ-2) were mixed with the biomass in the ratio 1:10. Analysis of thermogravimetric data revealed that thermal decomposition occurred at 240–450 °C for both non-catalytic and catalytic pyrolysis of biomass. Two temperature regions, region I 240–330 °C and region II 360–450 °C, were identified and a best-fit model describing the behavior of non-catalytic and catalytic biomass pyrolysis was obtained. Addition of catalyst reduces the activation energy in first region then increases it in the second region for all reaction orders. Chemical reaction and diffusion-controlled reaction mechanisms could be kinetically characterized and enabled good description of the nature of biomass pyrolysis.