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Abstract-Security flaws in software applications today has been attributed mostly to design flaws. With limited budget and time to release software into the market, many developers often consider security as an afterthought. Previous research shows that integrating security into software applications at a later stage of software development lifecycle (SDLC) has been found to be more costly than when it is integrated during the early stages. To assist in the integration of security early in the SDLC stages, a new approach for assessing security during the design phase by neural network is investigated in this paper. Our findings show that by training a back propagation neural network to identify attack patterns, possible attacks can be identified from design scenarios presented to it. The result of performance of the neural network is presented in this paper.

The research introduces a structured and consistent approach for digital forensic investigation. Digital forensic science provides tools, techniques and scientifically proven methods that can be used to acquire and analyze digital evidence. The digital forensic investigation must be retrieved to obtain the evidence that will be accepted in the court. This research focuses on a structured and consistent approach to digital forensic investigation. This research aims at identifying activities that facilitate and improves digital forensic investigation process. Existing digital forensic framework will be reviewed and then the analysis will be compiled. The result from the evaluation will produce a new model to improve the whole investigation process.

Due to the large amount of information produced, accumulated, and distributed via electronic means, it is necessary for forensic experts during crime investigation to increase their abilities to search for important evidence in a timely manner because this is essential to the success of digital forensic examinations. The inadequacy of resources both in tools and human and also limitation in time have a negative impact in result obtained during digital forensic investigation. Previous researchers state that the chances of success in criminal prosecution by law enforcement agencies depend heavily on the availability of strong evidence. The coming out of intelligent software agents that function autonomously with little or no human intervention during crime investigation is significant to the success of digital forensic investigation. Better use of tools is necessary, beyond the capabilities of the currently used forensic tools. In this paper, we discuss the usefulness of intelligent software agent in digital forensic. The goal of the paper is to provide a better knowledge and understand the concepts of intelligent software agent in digital forensic. The findings presents in this paper came from thoroughly review of previous digital forensic literature.