A user using a Web application generates HTTP traffic which can be captured and logged to be used for further analysis such as finding potential security holes. This document provides a method to reconstruct user-interactions from HTTP network traffic with a specific focus on RIAs. The only input provided is the full, unaltered HTTP network traffic of the original user-session. This thesis presents a system to replay HTTP trace for reconstructing the user-interactions using a programmable Web browser that is used to simulate user's actions and to execute client-side scripts. The experimental results show that the proposed solution in this thesis leads to a system which has a good performance in reconstructing user-interactions. The system performs an automated reconstruction of the user-interactions which reconstructs every DOM state that has been visited by the user during the user-session and the actions taken by the user, including user-inputs provided by the user.

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The Thesis focused on hardware based Load balancing solution of web traffic through a load balancer F5 content switch. In this project, the implemented scenario for distributing HTTPtraffic load is based on different CPU usages (processing speed) of multiple member servers.Two widely used load balancing algorithms Round Robin (RR) and Ratio model (weighted Round Robin) are implemented through F5 load balancer. For evaluating the performance of F5 content switch, some experimental tests has been taken on implemented scenarios using RR and Ratio model load balancing algorithms. The performance is examined in terms of throughput (bits/sec) and Response time of member servers in a load balancing pool. From these experiments we have observed that Ratio Model load balancing algorithm is most suitable in the environment of load balancing servers with different CPU usages as it allows assigning the weight according to CPU usage both in static and dynamic load balancing of servers.