Government College

About: Government College is a based out in . It is known for research contribution in the topics: Population & Ring (chemistry). The organization has 4481 authors who have published 5986 publications receiving 57398 citations.

Surveillance of anomaly and misuse in critical networks to counter insider threats using computational intelligence

Abstract: The Insider threat is minimally addressed by current information security practices, yet the insider poses the most serious threat to organization through various malicious activities. Forensic investigation is a technique used to prove the presence of malicious insider with digital evidence. The proposed surveillance mechanism for countering insider threats operates in two phases. In phase one, the network has to be monitored for incoming and outgoing packets. The information is transferred using packets, and these packets are monitored and captured and the important features are extracted. By performing investigation on the captured packets, information related to suspicious activities can be obtained. In phase two, we mine various log files which are considered to posses vital traces of information when insider attack has been performed. The analysis of the log files is performed in order to extract the key pattern from files. The extracted patterns from log files are further processed. The suspicious data patterns are grouped into clusters to trace the anomaly. They are classified as legal and anomaly pattern with the help of KNN classifier .If anomaly is traced, the user's past activities are referred and a cross check is made with the features of captured packets the computational intelligence based on Dempster---Shafer theory is applied to prove with digital evidence, the presence of malicious insider in the critical networks with utmost accuracy.

An Analysis on Efficient Resource Allocation Mechanisms in Cloud Computing

Abstract: Cloud computing is considered as a striking computing model which allows for the provisioning of resources on-demand. Cloud computing environment enables multiple users to place request for various cloud services simultaneously. Effective and efficient resource allocation is the challenging task in cloud computing. The efficiency of allocation is measured by optimizing appropriate parameters such as execution time, demand, network delay time, capacity of resources and cost. This paper reveals how effectively resource allocation problem can be addressed in the perspective of cloud service provider and also provides a comparative analysis which helps in selecting parameters to meet the objective function for optimizing the demand to maximize the profit.