鑑於廣泛使用的資訊科技,資訊安全的議題也逐漸成為研究的焦點。 資訊安全事件的來源可以從不同的事件產生如防火牆日誌檔,入侵偵測系統等等。 針對此類日益劇增的資安事件,對於不僅是使用者甚至是企業都會遭受影響,所以資訊安全的知識在當今的社會中扮演非常重要的角色。事實上,一個小小的資訊安全漏洞往往對組織企業產生莫大的傷害,為了使此種傷害降到最低,本研究提出了明確階層式的資訊安全本體專家系統本研究包含的層級有alert data, attacks, agents, tools, accesses, vulnerabilities and assets,來方便使用者以規則推論可能造成的資安事件和影響的層級,藉由資訊安全規則的使用更能幫助管理者在做資訊安全決策以及解決問題和進行有效的風險管理。

Based on the widely used computer technology, the security incidents have been expanding in an unbelievable fashion. Security incidents can be reflected by different sources, such as firewall logs, intrusion detection systems alerts, and frequency of processors or memory use. By facing this huge volume of information, it’s crucial for people to acknowledge the fact that computer security is playing an important part of our life. As a matter of fact, a slightly little flaw in our information system could be detected by the attackers; furthermore, lead to security disasters that threaten certain organizations or enterprises. For the sake of solving incidents matters precisely, we took into account different sources of possible objects and further analyzed relationship among them such as alert data, attacks, agents, tools, accesses, vulnerabilities and assets. Hence, the conceptual-model of Security Incident Ontology was developed.

Directory
1. 　Introduction	1
1.1 Research Background and Motivation	1
1.2 Research Framework	2
2. 　Research Tools and Mechanism	4
2.1 Semantic Web	4
2.2 Jess (Java Expert System Shell)	4
2.3 Ontology	5
2.4 Computer Security Incident Ontology	6
3. 　Research Structure	7
3.1 Construct Computer Security Incident Ontology	8
3.1.1 Define Attributes and Relationships	14
3.1.2 Create Facts and Concept Mapping	17
4. 　Jess Inference Engine and Rule-based Mechanism	19
4.1 Jess the Rule Engine for Java Platform	20
4.2 Integrate Jess with Protégé	21
4.3 Computer Security Incidents Rules	23
4.3.1 Introduce Network Security Rules	24
5. 　Validate the Computer Security for Incident Management	26
5.1 Mapping the IDS Data into Computer Security Ontology	26
5.2 Implement the Rule-Based Mechanism	27
6. 　Conclusions and Future Prospect	29
7.   Reference	30
8.   Appendix	38

 
Illustration Directory 
Fig 1.1 Research Framework	3
Fig 2.1 Inference Engine Structure[18]	5
Fig 3.1 Research Structure	8
Fig 3.2 Event Class Ontology	9
Fig 3.3 Classes of the Computer Security Ontology	10
Fig 3.4 Vulnerability ontology classes	11
Fig 3.5 The Security Incident Ontology Conceptual Model.	13
Fig 3.6 Protégé 3.3.1 Framework for Computer Security Incident Ontology	14
Fig 3.7 Event Concept Mapping	18
Fig 4. 1 Jess Facts	22
Fig 4.2 Jess Rules	23
Fig 4.3  Jess Functions	23
Fig 5.1 Network Security Incident Data	27
Fig 5.2 Security Incident Alert	27
Fig 5.3 Scan Detection	28


 
 Tables Directory 
Table 3-1：Computer Security Ontology attributes 	21 
Table 4-1：Intrusion Detection Rules Classification	24
Table 4-2 Protocol Detection Rules	25

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