International Journal of Advanced Computer Science and Information Technology

7

Authors: Alaeddin Kalantari , Anahita Esmaeili , Suhaimi Ibrahim

Nowadays, service-oriented architecture (SOA) is used as an efficient solution to integrate distributed applications in an enterprise. In a SOA-based environment, security is one of the most important issues that must be considered on account of loosely coupled nature of SOA. However, there are several approaches and technologies for securing services such as WS-Security, SAML, and etc. SOA brings additional security problems on the level of architecture. Therefore, providing comprehensive security reference architecture for Enterprise SOA (ESOA) becomes a critical issue. In this paper, we propose a Service Oriented Security Reference Architecture (SOSRA) for Service Oriented Reference Architecture (S3) based enterprise applying our previously proposed Conceptual SOA Security Framework.

13

Authors: Javad Hosseinkhani , Suriayati Chuprat , Hamed Taherdoost , Amin Shahraki Moghaddam

Anonymous and suitable information always are provided by criminal web data for Law enforcement agencies. The digital data that are used in forensic analysis comprises of pieces of information which are about the accused social networks. Nevertheless, evaluating these pieces of information is a challenging means an operator has to extract the appropriate information from the text in the website manually, after that it finds a connection between different pieces of information and classify them into a database structure. Then, the set is ready to utilize different criminal network analysis tools for test. Therefore, this manual procedure of arranging data for analysis is not efficient because it affected by many errors. Moreover, the quality of achieving analyzed data is related to the expertise and experience of the investigator so the reliability of the tests is not continuous. Actually, the better result is achived, the more knowledgeable is an operator. The aim of this study is to report the process of exploring the criminal suspects of forensic data analysis that support the reliability gap by offering a framework by utilizing Highlevel architecture of a scalable universal crawler.