Using ontologies to perform threat analysis and develop defensive strategies for mobile security

Wang, Ping; Chao, Kuo‐Ming; Lo, Chi-Chun; Wang, Yu-Shih

doi:10.1007/s10799-014-0213-1

Cited by 13 publications

(6 citation statements)

References 21 publications

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“…In order to improve the ability of social crisis management, literature [15] proposes three paths for the government to dredge popular opinion on the Internet in emergency situations: improving the government's monitoring and guidance of popular opinion, improving the news release mechanism, and immediately investigatingm and punishing Internet rumors according to law. We can learn from keyword statis-tics that there are many online popular opinion articles on communication, journalism, pedagogy, sociology, and politics, according to literature [16].…”

Section: Related Workmentioning

confidence: 99%

Intelligent Governance of Network Popular Opinion Based on DM Technology in the New Media Age

Wang

2022

Wireless Communications and Mobile Computing

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The public’s desire to protect their own interests has increased in recent years. As information technology advances, the number of Internet users grows, the penetration rate improves, and the number of self-media users of network new media grows. Using historical data to predict future behavior and learn from massive amounts of data, humanity has entered the new media age, thanks to the rapid advancement of mobile Internet technology. It solves the problem that traditional database management systems cannot find hidden relationships and rules in data and cannot predict the future based on the data they have. This paper investigates the use of DM technology to intelligently govern network public opinion. Finance, telecommunications, network-related industries, retailers, manufacturing, medical care, pharmaceutical industry, and scientific fields have all made extensive use of it. Data mining (abbreviated as DM) is a type of data analysis that extracts credible, novel, effective, and understandable patterns from large amounts of data. It is closely related to database knowledge discovery.

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Section: Related Workmentioning

confidence: 99%

Intelligent Governance of Network Popular Opinion Based on DM Technology in the New Media Age

Wang

2022

Wireless Communications and Mobile Computing

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“…A concept vector was created and features were selected using optimization algorithms. In [23] ontology was used to develop a model which can detect attack profile of a malware also result of a targeted attack to be successful in mobile security. An advanced semantic decision making system was proposed in [24] to identify malicious programs.…”

Section: B Ontology-based Frameworkmentioning

confidence: 99%

Capturing Malware Behaviour with Ontology-based Knowledge Graphs

Chowdhury

Bhowmik

2022

2022 IEEE Conference on Dependable and Secure Computing (DSC)

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“…Onto-ACM (ontology-based access control model), is a semantic analysis model proposed by Chang Choi et al [3] to address the difference in the permitted access control between service providers and users. More over, in [18] ontologies are used to perform threat analysis and develop defensive strategies for mobile security. Autors has proposed on ontology-based approach that can identify an attack profile in accordance with structural signature of mobile viruses, and also overcome the uncertainty regarding the probability of an attack being successful, thanks to semantic reasoning.…”

Section: Related Workmentioning

confidence: 99%

Implementing a Semantic Approach for Events Correlation in SIEM Systems

Kenaza

Machou

Dekkiche

2018

Computational Intelligence and Its Applications

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Efficient reasoning in intrusion detection need to manipulate different information provided by several analyzers in order to build a reliable overview of the underlying monitored system trough a central security information and event management system (SIEM). SIEM provides many functions to take benefit of collected data, such as Normalization, Aggregation, Alerting, Archiving, Forensic analysis, Dashboards, etc. The most relevant function is Correlation, when we can get a precise and quick picture about threats and attacks in real time. Since information provided by SIEM is in general structured and can be given in XML, we propose in this paper to use an ontological representation based on Description Logics (DLs) which is a powerful tool for knowledge representation and reasoning. Indeed, Ontology provides a comprehensive environment to represent any kind of information in intrusion detection. Moreover, basing on DLs and rules, Ontology is able to ensure a decidable reasoning. Basing on the proposed ontology, an alert correlation prototype is implemented and two attack scenarios are carried out to show the usefulness of the semantic approach.

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Using ontologies to perform threat analysis and develop defensive strategies for mobile security

Cited by 13 publications

References 21 publications

Intelligent Governance of Network Popular Opinion Based on DM Technology in the New Media Age

Intelligent Governance of Network Popular Opinion Based on DM Technology in the New Media Age

Capturing Malware Behaviour with Ontology-based Knowledge Graphs

Implementing a Semantic Approach for Events Correlation in SIEM Systems

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