Comparative Analysis of Network Forensic Systems

Comparative study of computer simulation softwares

One of the methods for analyzing systems is simulation. Network simulation is a technique that models the behavior of the network by performing transaction calculations between different network entities and using mathematical formulas and taking observations from network products. A network simulator is a piece of software or hardware that predicts the behavior of a computer network without a ...

A Comparative Study of the Neural Network, Fuzzy Logic, and Nero-fuzzy Systems in Seismic Reservoir Characterization: An Example from Arab (Surmeh) Reservoir as an Iranian Gas Field, Persian Gulf Basin

Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major steps. In the first step, the survey compared different intelligent techniques to discover ...

Network Forensics Models for Converged Architectures

We discuss a systematic approach to network forensic collection and analysis of data in converged networks. Since attacks cannot be completely avoided, it is necessary to have appropriate forensics systems. Upon integration into a network forensic infrastructure, we expect this forensic model will enable a faster response and more structured investigations of Voice over IP (VoIP)-based network ...

A comparative analysis of two neural network predictions for performance and emissions in a biodiesel fuelled diesel Engine

Principal Component Analysis Coupled with Artificial Neural Networks—A Combined Technique Classifying Small Molecular Structures Using a Concatenated Spectral Database

In this paper we present several expert systems that predict the class identity of the modeled compounds, based on a preprocessed spectral database. The expert systems were built using Artificial Neural Networks (ANN) and are designed to predict if an unknown compound has the toxicological activity of amphetamines (stimulant and hallucinogen), or whether it is a nonamphetamine. In attempts to c...