مطالب

The steadily growing dependency over network environment introduces risk over information flow. The continuous use of various applications makes it necessary to sustain a level of security to establish safe and secure communication amongst the organizations and other networks that is under the threat of intrusions. The detection of Intrusion is the major research problem faced in the area of information security, the objective is to scrutinize threats or intrusions to secure information in the network Intrusion detection system (IDS) is one of the key to conquer against unfamiliar intrusions where intruders continuously modify their pattern and methodologies. In this paper authors introduces Intrusion detection system (IDS) framework that is deployed over KDD Cup99 dataset by using machine learning algorithms as Support Vector Machine (SVM), Naïve Bayes and Random Forest for the purpose of improving the precision, accuracy and recall value to compute the best suited algorithm.

The increase in Internet technology popularity due to the advancement of information technology is bound to rise at an unprecedented pace in China. The development of E-commerce has become an important part of people everyday lives in certain sectors of business activities such as online advertising, online shopping, online promotional advisory and service. This study examines critical factors in online shopping that affect customer satisfaction. The philosophy of positivism was used to evaluate the online shopping behaviour in a Chinese context. The philosophy defines a structural method that combines logical deduction with accurate and well-known observation of personal character and behaviour. The data on the level of customer satisfaction collected by E-mail and survey. The results of the validity and reliability test, Pearson's correlation and Multiple Linear Regression analyses suggested that online shopping websites’ privacy, delivery system and service quality would improve customer satisfaction in China. The Companies must carefully develop the E-commerce environment in terms of customer behaviour in China, emphasizing the factors that have a significant impact on their online customer satisfaction

The security-based futurology of political units is a type of futurology focusing on geographic areas to assess their security status in the future. The Caspian region as one of the regions facing various factors has gained geopolitical significance, has a wide range of probable futures. The operational objective of this study is to identify the criteria affecting the security of this region and its final objective is to delineate an optimal security-based future for the region through a future study approach. It is a qualitative case study being formulated based on some qualitative and quantitative models and the relevant literature is used as the basis for classifying security standards into six groups of military, economic, spatial, sociocultural, political and environmental. the results were used to present 18 criteria of this region security. Then, 26 questionnaires were distributed among a group of faculty members of geopolitics from the universities of Russia, Iran, Azerbaijan, Kazakhstan, and Turkmenistan. The collected data were analyzed using the combined mean TOPSIS method and key criteria of the Caspian region security were extracted. The findings indicated that the three key criteria of joint military and weapons investment, commercial relations and human development as the most critical geopolitical criteria of security in this region formed eight security scenarios and finally the scenario based on ‘regional joint military and weapons investment, free trade, and the homogeneous human development’ with higher scores were introduced as the criterion for the delineation of security perspective for the leaders of countries in this region.