Security is one of the most important concerns for both developers and consumers in the Information Technology (IT) world. Developing secure IT products demands some standards to assure the security level of the products. Common Criteria (CC) standard is formed to achieve this goal. But like other standards, CC has its own problems. In this paper, we address two of these problems. abstraction and time problems. Abstraction in the context of Common Criteria evaluation methodology is one of the most significant problems in the IT product evaluation process. Furthermore, the other problem of evaluation process based on Common Criteria is that it is a time consuming process, so it eventually makes the process a costly one. To solve these two problems, we decompose the tasks mentioned in the CC standard into finer ones. Moreover, we propose various expertises and task parallelism for performing aforementionedfiner tasks.
One of the primary challenges in IDS alerts analysis is controlling and archiving the huge amount of alerts that have been triggered mainly in attack periods. We have developed a self-adaptive controlling mechanism which archives the Snort generated alerts in a well-formed abstracted format. An appropriate hashing technique along with a full-automated time-based hierarchical archiving approach has been used to reach this end. The developed system prevents the Snort database size to grow uncontrollably and unexpectedly. Results obtained from experiments and test cases show that especially in critical attack situations the system responds to queries well in a reasonable amount of time. The developed analyzer with new archiving approach is also able to compress the generated alerts effectively and generate statistical reports fast. The developed system is platform independent and can be deployed on mid-range servers and workstations. Also employing it does not require much degree of security expertise.
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