Session Hijacking is an attack which is basically used to gain the unauthorized access between an authorized session connections. This is usually done to attack the social network website and banking websites in order to gain the access over the valid session as well as over the website too. These attacks are one of the commonly experienced cyber threats in today’s network. Most of the websites and networks are vulnerable from this kind of attack.  For providing the protection I have given the multiple ways to protecting from this session hijacking attack. I have especially focused on one of the major attacks in this session hijacking attack SSL Strip attack which play very vital role in this kind of attack. Sometimes this session hijacking attack is also known as the Man in the Middle attack (MIMA).In this paper, I have covered many security mechanisms to stay away and protect you and the network. This session hijacking attack is very dangers for the security perspective. Even it can steal all users’ most sensitive data. This can create a big loss for the users financially. From all these types of attack, I have proposed many mechanisms to help the users to stay away from the attack. The main objective of this paper is to give detail information of session hijacking and countermeasure from session hijacking attacks.

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An approach for crime detection in India using Data mining techniques is proposed in this paper. The approach consists of the following steps -Data pre-processing, clustering, classification and visualization. Data mining techniques are often applied to Criminology as it provides good results. Criminology is a field which studies about various crime characteristics. Analyzing crime data means exploring crime data. Crime is identified using k-means clustering and the clusters are formed based on the similarity of the crime attributes. The Random Forest algorithm and Neural networks are applied on the data for classification. Visualization is achieved using the Google marker clustering and the crime spots are marked on the India map. The accuracy is verified using WEKA tool. This approach will benefit the Crime department of India in analyzing crime with better prediction. The paper focuses on the crime analysis of various Indian states and union territories during 2001 to 2012.

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Software Defined Network (SDN) partitions the control plane and the information plane to decrease the cost and for increasing the capacity for upgrading, and this will be helpful for the network administrators to manage the network services. It’s the location where the controller exists. One of the main issue in Software Defined Networking is the location of the controllers as this could affect network execution and cost. In this paper, we have done an analysis on some algorithms that have been used for minimizing the number of controllers to reduce the latency, delay, etc. while placing a controller with the consideration of communication among the controller and the nodes.