A User-centric Intrusion Detection System by Using Ontology Approach

Hung, Shao-Shin; Liu, Damon Shing-Min

doi:10.2991/jcis.2006.118

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…Such ontologies were in the past used to develop the ontology-based IDS. In Reference [21], authors present the DAML+OIL attack ontology and corresponding detection system applied on the KDD 99 data. The ontology includes high-level domain concepts (e.g., Attack, Host, Component, etc.)…”

Section: Related Workmentioning

confidence: 99%

Hierarchical Intrusion Detection Using Machine Learning and Knowledge Model

Sarnovský

Paralič

2020

Symmetry

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Intrusion detection systems (IDS) present a critical component of network infrastructures. Machine learning models are widely used in the IDS to learn the patterns in the network data and to detect the possible attacks in the network traffic. Ensemble models combining a variety of different machine learning models proved to be efficient in this domain. On the other hand, knowledge models have been explicitly designed for the description of the attacks and used in ontology-based IDS. In this paper, we propose a hierarchical IDS based on the original symmetrical combination of machine learning approach with knowledge-based approach to support detection of existing types and severity of new types of network attacks. Multi-stage hierarchical prediction consists of the predictive models able to distinguish the normal connections from the attacks and then to predict the attack classes and concrete attack types. The knowledge model enables to navigate through the attack taxonomy and to select the appropriate model to perform a prediction on the selected level. Designed IDS was evaluated on a widely used KDD 99 dataset and compared to similar approaches.

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Section: Related Workmentioning

confidence: 99%

Hierarchical Intrusion Detection Using Machine Learning and Knowledge Model

Sarnovský

Paralič

2020

Symmetry

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“…The major problem in the systems mentioned earlier is that the ontology is just used to represent a simple representation of the attributes of the attack McHugh [39] concentrated on the classification of attacks according to protocol layers. Guha and Mukherjee [31] focused on the analysis of each layer of the TCP/IP protocol stack as the groundwork for attack taxonomy.. The drawback of these systems is that they lack the reasoning ability which is very necessary to intelligently protect a system.…”

Section: Ontology Based Intrusion Detection Systems (Oids)mentioning

confidence: 99%

“…From a taxonomy point of view, intrusion detection possesses characters, classifications and languages that intelligently illustrate instances of taxonomy and convey information regarding an attack or intrusion in web application. Hung and Liu [31] introduced a new approach for designing and developing an intrusion detection application by using an ontology. The system conveys the intrusion detection in terms of the end users domain and allows a non-expert person to model the intrusion detection system easily by using the terminologies and concepts of intrusion detection.…”

Section: Ontology Based Intrusion Detection Systems (Oids)mentioning

confidence: 99%

An Imperative Analysis of diverse State of Art Solutions for Internet and Web Application Security

2014

International Conference on Computer Science and Information Systems (ICSIS’2014) Oct 17-18, 2014 Dubai (UAE)

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Internet hold the potential to transform the setting of services and information by making more attractive and creative which enhanced the productivity of e-business and communication. For the recent years, internet and web applications are gaining an innovative momentum as a computing paradigm for providing flexible and dynamic services on demand. On the other hand, the number of security vulnerabilities and dangerous security flaw has increased immensely due to its growing popularity and global distribution. To tackle these risks, networks require increased security protection. It is important to maintain a high level security to ensure safe and trusted communication of information between various organizations Internet application security protects the confidentiality, integrity and availability of resources in cyberspace. This paper gives an imperative analysis in the area of internet and web application security, the characteristics of some of the best known methods of art solutions for internet application security and their flaws

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“…However, theft capability is only the focus of this research work. Another detection method which is called Portable Executed (PE) file static attributes a new detection method which was presented by [8]. To analyze the static attribute in the Portable Executed (PE) file, an intelligent information processing technique is used.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Signature Based Techniques

2021

IJATCSE

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A huge amount of research is being done on web-based attacks, and as a result, many security mechanisms have been introduced. But, due to their very flexible nature, they are not as effective in the defense of attacks as they should be. Therefore, the proposed system designed an effective web security system that can detect attacks using digital attacks of signature.This system will be able to use modern signature-based technique for demonstrate information and it will be deployed on crest of the Visual Studio framework. An application layer attack, such as a Trojan attack, will be detected and protected by such a system. We are optimistic that such a system would work and demonstrate a better signature-based system, which will be compared to Avast.

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A User-centric Intrusion Detection System by Using Ontology Approach

Cited by 4 publications

References 7 publications

Hierarchical Intrusion Detection Using Machine Learning and Knowledge Model

Hierarchical Intrusion Detection Using Machine Learning and Knowledge Model

An Imperative Analysis of diverse State of Art Solutions for Internet and Web Application Security

Comparison of Signature Based Techniques

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