Application of artificial neural networks and related techniques to intrusion detection

Bitter, Christian; Elizondo, David; Watson, Tim

doi:10.1109/ijcnn.2010.5596532

Cited by 20 publications

(13 citation statements)

References 18 publications

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“…ANN is a computational mechanism that simulates structural and functional aspects of neural networks existing in biological nervous systems. They are ideal for situations that require prediction, classification or control in dynamic and complex computer environments [26].…”

Section: Artificial Neural Network Applicationsmentioning

confidence: 99%

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Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review

Dilek¹,

Çakır²,

Aydin³

2015

IJAIA

129

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With the advances in information technology (IT) criminals are using cyberspace to commit numerous cyber crimes. Cyber infrastructures are highly vulnerable to intrusions and other threats. Physical devices and human intervention are not sufficient for monitoring and protection of these infrastructures; hence, there is a need for more sophisticated cyber defense systems that need to be flexible, adaptable and robust, and able to detect a wide variety of threats and make intelligent real-time decisions. Numerous bio-inspired computing methods of Artificial Intelligence have been increasingly playing an important role in cyber crime detection and prevention. The purpose of this study is to present advances made so far in the field of applying AI techniques for combating cyber crimes, to demonstrate how these techniques can be an effective tool for detection and prevention of cyber attacks, as well as to give the scope for future work.

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Section: Artificial Neural Network Applicationsmentioning

confidence: 99%

“…Bitter et al (2010) presented host-based and network-based intrusion detection systems with a special focus on systems that employ artificial neural networks to detect suspicious and potentially malicious traffic [26].…”

Section: Linda Et Al (2009) Presented the Intrusion Detection Systemmentioning

confidence: 99%

Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review

Dilek¹,

Çakır²,

Aydin³

2015

IJAIA

129

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“…Wide knowledge usage is necessary in decision making, and the intelligent decision support is one of the yet unsolved problems in cyber defence. 18 All above-mentioned questions are introduced in the developed module "CP1.Formal and Intelligent Methods for Security and Resilience. "…”

Section: Artificial Intelligence For Securitymentioning

confidence: 99%

Formal and Intelligent Methods for Security and Resilience: Education and Training Issues

Pomorova¹,

Lysenko²

2016

IISIJ

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This article presents the results of the implementation of TEMPUS SEREIN project in the Khmelnitsky National University. The main challenge was to develop curriculum and course materials for masters and PhD students. The authors introduce the module description of the course "Formal and Intelligent Methods for Security and Resilience." The module deals with the issues of development and usage of formal methods for designing secure software systems and implementation of formal methods for assuring security of computer networks. We also present some issues on the usage of intelligent systems for security and address the questions of enhancing systems' resilience. The implementation of the developed training course will improve the quality of education and will make graduates more successful on the labour market.

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“…Çok katmanlı YSA, fonksiyon uydurma, sınıflandırma ve eşleşme problemlerinde sıkça kullanılmaktadır. Sınıflandırmadaki başarısından dolayı STS'lerde sıklıkla kullanılmıştır [27]. Çok Katmanlı Algılayıcılar (ÇKA)'dan günümüzde en sık kullanılanı back propogation ağlardır.…”

Section: Yapay Sinir Ağlarıunclassified

Makine Öğrenmesi Teknikleriyle Saldırı Tespiti: Karşılaştırmalı Analiz

Kaya¹,

Yıldız²

2014

MUFBED

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Özetİnternet, günlük hayatımızın vazgeçilmez bir parçasıdır. Artan web uygulamaları ve kullanıcı sayısı, veri güvenliği açısından bazı riskleri de beraberinde getirmiştir. Ağ güvenliği için önemli araçlardan biri olan saldırı tespit sistemleri, güvenli iç ağlara yapılan saldırıları ve beklenmeyen erişim taleplerini tespit etmede başarılı bir şekilde kullanılmaktadır. Günümüzde, pek çok araştırmacı, daha etkin saldırı tespit sistemi gerçekleştirilmesi amacıyla çalışma yapmaktadır. Bu amaçla literatürde farklı makine öğrenme teknikleri ile gerçekleştirilmiş pek çok saldırı tespit sistemi vardır. Yapılan bu çalışmada, saldırı tespit sistemlerinde sıklıkla kullanılan makine öğrenme teknikleri araştırılmış, kullandıkları sınıflandırıcılar, veri setleri ve elde edilen başarılar değerlendirilmiştir. Bu amaçla 2007-2013 yılları arasında SCI, SCI Expanded ve EBSCO indekslerince taranan ulusal ve uluslararası dergilerde yayınlanmış 65 makale incelenmiş, sonuçlar, karşılaştırılmalı bir şekilde sunulmuştur. Böylece, gelecekte yapılacak makine öğrenme teknikleri ile saldırı tespiti çalışmalarına bir bakış açısı kazandırılması amaçlanmıştır. Anahtar kelimeler: STS, Makine öğrenmesi, KDD Cup99 Intrusion Detection with Machine Learning Techniques: Comparative Analysis AbstractThe Internet is an indispensable part of our daily lives. The increasing number of web applications and the user, in terms of data security, has some risks. Intrusion detection systems, secure access to internal networks to detect attacks and unexpected due to the demands of one of the important tools for network security. In order to develop more effective intrusion detection systems a lot of investigative work. However, so many different machine learning techniques in the literature with intrusion-detection system. In this study, the intrusion detection systems are frequently used in machine learning techniques are researched, evaluated, and the resulting achievements classifiers, used by datasets. To this end between the years 2007-2013 65 article examined, the results are presented in a way that the comparative. Thus, the determination of the future machine learning techniques to gain a perspective on the work of the attack.

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Application of artificial neural networks and related techniques to intrusion detection

Cited by 20 publications

References 18 publications

Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review

Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review

Formal and Intelligent Methods for Security and Resilience: Education and Training Issues

Makine Öğrenmesi Teknikleriyle Saldırı Tespiti: Karşılaştırmalı Analiz

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