Applying semantic web and user behavior analysis to enforce the intrusion detection system

Chan, Yi-Tung F.; Shoniregun, Charles A.; Akmayeva, Galyna; Al-Dahoud, Ali

doi:10.1109/icitst.2009.5402616

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Another interesting area in terms of Information Security where varied works can be found is in using ontologies as a basis for modeling, analysing and detect-ing security issues. In those cases, mostly, ontologies are used as the knowledge base of an expert system, a representation schema or an annotation vocabulary for a complex, knowledge intensive security issue such as Infection-Malware detection/analysis [30,31] or Intrusion detection [32,33].…”

Section: Work With a Strong Focus On Securitymentioning

confidence: 99%

RETRACTED CHAPTER: Privacy, Security, and Policies: A Review of Problems and Solutions with Semantic Web Technologies

Ngoc¹,

Van

2019

Frontiers in Intelligent Computing: Theory and Applications

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Semantic Web technologies aim to simplify the distribution, sharing and exploitation of information and knowledge, across multiple distributed actors on the Web. As with all technologies that manipulate information, there are privacy and security implications, and data policies (e.g., licenses and regulations) that may apply to both data and software artifacts. Additionally, semantic web technologies could contribute to the more intelligent and flexible handling of privacy, security and policy issues, through supporting information integration and sense-making. In order to better understand the scope of existing work on this topic we examine 78 articles from dedicated venues, including this special issue, the PrivOn workshop series, two SPOT workshops, as well as the broader literature that connects the Semantic Web research domain with issues relating to privacy, security and/or policies. Specifically, we classify each paper according to three taxonomies (one for each of the aforementioned areas), in order to identify common trends and research gaps. We conclude by summarising the strong focus on relevant topics in Semantic Web research (e.g. information collection, information processing, policies and access control), and by highlighting the need to further explore under-represented topics (e.g., malware detection, fraud detection, and supporting policy validation by data consumers).

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Section: Work With a Strong Focus On Securitymentioning

confidence: 99%

RETRACTED CHAPTER: Privacy, Security, and Policies: A Review of Problems and Solutions with Semantic Web Technologies

Ngoc¹,

Van

2019

Frontiers in Intelligent Computing: Theory and Applications

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show abstract

“…We believe this procedure places a burden on the authentication process because the only way we can validate the authentication is through people who are considered the weakest link in computer security. We can overcome some issues in human behavior, but not all [12,6].…”

Section: Introductionmentioning

confidence: 99%

Transparent authentication in E-learning

Fadhel

Wills

Argles

2011

International Conference on Information Society (I-Society 2011)

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In the context of on-line assessment in e-learning a problem arises is that someone taking an exam may wish to cheat by handing over personal credentials to someone to take their place in an exam. This differs from authenticating for on-line banking where it is in the user interest to ensure safe and correct authentication. Our proposed solution is to digitally sign the student work by embedding voice samples in the exam paper at regular intervals. In this investigation we have demonstrated that transparent steganography can provide an effective mechanism for achieving such a good goal.

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“…In those cases, mostly, ontologies are used as the knowledge base of an expert system, a representation schema or an annotation vocabulary for a complex, knowledge intensive security issue such as Infection-Malware detection/analysis [4,42] or Intrusion detection [7,28].…”

Section: Work With a Strong Focus On Securitymentioning

confidence: 99%

Privacy, security and policies: A review of problems and solutions with semantic web technologies

Kirrane

Villata

d’Aquin

2018

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Abstract. Semantic Web technologies aim to simplify the distribution, sharing and exploitation of information and knowledge, across multiple distributed actors on the Web. As with all technologies that manipulate information, there are privacy and security implications, and data policies (e.g., licenses and regulations) that may apply to both data and software artifacts. Additionally, semantic web technologies could contribute to the more intelligent and flexible handling of privacy, security and policy issues, through supporting information integration and sense-making. In order to better understand the scope of existing work on this topic we examine 78 articles from dedicated venues, including this special issue, the PrivOn workshop series, two SPOT workshops, as well as the broader literature that connects the Semantic Web research domain with issues relating to privacy, security and/or policies. Specifically, we classify each paper according to three taxonomies (one for each of the aforementioned areas), in order to identify common trends and research gaps. We conclude by summarising the strong focus on relevant topics in Semantic Web research (e.g. information collection, information processing, policies and access control), and by highlighting the need to further explore under-represented topics (e.g., malware detection, fraud detection, and supporting policy validation by data consumers).

show abstract

Applying semantic web and user behavior analysis to enforce the intrusion detection system

Cited by 3 publications

References 4 publications

RETRACTED CHAPTER: Privacy, Security, and Policies: A Review of Problems and Solutions with Semantic Web Technologies

RETRACTED CHAPTER: Privacy, Security, and Policies: A Review of Problems and Solutions with Semantic Web Technologies

Transparent authentication in E-learning

Privacy, security and policies: A review of problems and solutions with semantic web technologies

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