Web Based Distributed Network Analyzer Using SES Over Service Oriented Architecture

As the network uses, and especially the number of internet users, increases rapidly, an efficient system for managing large network traffic datasets becomes an important issue. Although there are several network traffic analysis tools such as tcpdump, Ethereal, and other applications, these tools have weaknesses: limited size of files, command line execution, large memory and huge computational power requirement, and complications. In addition to these scalability limitations, both tcpdump and Ethereal have a security issue. Files captured by these tools keep all the packet information such as IP addresses, port numbers, and packet sizes. As well as basic network traffic information, captured files contain secure information: user identification numbers (IDs) and passwords. Therefore, captured files should not allow to be leaked out. However, network analyses need to be performed outside target networks in some cases. The paper presents an approach to efficiently and quickly analyze large amount of network behaviors. This is achieved by applying System Entity Structure SES) theory. To speed up evaluation time, a webbased distributed simulation approach over Service Oriented Architecture (SOA) is applied. Discrete Event System Specification/Service Oriented Architecture (DEVS/SOA) is used to deploy workloads into multi-servers, increasing overall system performance. A web-based distributed simulation contains two fundamental processes: distributing and analyzing among loosely coupled models through message-passing methods. The distributed simulation— allocating distributing models inside networks and assigning analyzing models outside networks—also allows analysis of network behaviors out of networks while keeping important information secured.