Supervised machine learning approach for detection of malicious executables

Malware can be described as any type of malicious code that has the potential harm to the computer or network. these threats came from various sources like the internet, local networks and portable drives. Virus which replicates itself is growing faster every year and poses a serious global security threat. The purpose of this research is to classify portable executable new malicious files from benign files. In recent years, data mining methods are investigated for detecting unknown malicious executables, and the result show high and acceptable detection rate. Therefore, this project applied machine learning to detect malicious executable files through Support Vector Machine (SVM) and Artificial Neural Network (ANN) algorithms. These algorithms are compared together and selected the best accuracy model. The result of this research indicated that the accuracy of the SVM and ANN rely on the settings of the parameters used; ANN showed higher accuracy of 98.76 than SVM in terms of data set used while SVM performed a speed three times less than ANN and low computational power. The main conclusions drawn from this research were that current detection approaches of the antivirus are deficient because they fail to detect new unseen malicious files and they have higher false negative rates

Somali Business Review 2015

The businesses are changing and growing faster, there are a lot of people who are coming back to the country to start out their businesses, a lot of businesses were started in different sectors, and markets are looking to be busy for serving the customers. Even though the unemployment of the country is high, as there are a lot of unemployed individuals, Some organizations are helping out the youth to start and operate their businesses to fight with the unemployment by providing training and grants these caused a lot of youth to improve their livelihoods and get a source of income. Given that Somalia has been at war from the early nineties, the water division infrastructure is broken down and will have to be rebuilt and reformed to serve the people of Somalia. There are opportunities in the supplying water sector materials range from small hand well digging to complex drilling borehole of services, to take advantage from the opportunities in the market for the water sector materials, it’s good to get the stocks needed for the water supply. In this issue covers articles that address business opportunities focusing on some sectors of the market and the new technologies used for the businesses to enhance their recording. Islam is a religion presenting a system for the welfare of the society and prohibits a system where people earn income without putting work or efforts so we provided an article about the Wisdom Behind Elimination of Riba in Financial transactions