A Survey on Cyber Security Analytics

Sameera, Nerella; Shashi, M.

doi:10.26438/ijcse/v6i11.649652

Cited by 2 publications

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“…In the current days everything is done online and almost all the data is digitized and computerized which makes cyber space more vulnerable and more prone to attacks [1]. This grabs the attention of modern researchers working in the area of cyber security and demands for the development of effective Intrusion Detection Systems (IDS).…”

Section: Introductionmentioning

confidence: 99%

Clustering based Intrusion Detection System for effective Detection of known and Zero-day Attacks

Nerella Sameera,

M.Siva Jyothi,

K.Lakshmaji

et al. 2023

J. Adv. Zool.

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Developing effective security measures is the most challenging task now a days and hence calls for the development of intelligent intrusion detection systems. Most of the existing intrusion detection systems perform best at detecting known attacks but fail to detect zero-day attacks due to the lack of labeled examples. Authors in this paper, comes with a clustering-based IDS framework that can effectively detect both known and zero-day attacks by following unsupervised machine learning techniques. This research uses NSL-KDD dataset for the motive of experimentation and the experimental results exhibit best performance with an accuracy of 78%.

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Section: Introductionmentioning

confidence: 99%

Clustering based Intrusion Detection System for effective Detection of known and Zero-day Attacks

Nerella Sameera,

M.Siva Jyothi,

K.Lakshmaji

et al. 2023

J. Adv. Zool.

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“…are the companies most effected by the cyber-attacks. Therefore, it is necessary to get insights into the concepts of security defense mechanisms and various techniques and trending topics in the area of informat ion security [2].…”

Section: Introductionmentioning

confidence: 99%

Intrusion Detection Analytics: A Comprehensive Survey

Sameera¹,

Shashi²

2019

International Journal of Advanced Scientific Research and Management

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Cyber threat is growing on par with the advancements in the field of co mputer technology and information age which makes Intrusion detection Systems (IDSs) to get a lot of attention now a days. IDS is an evolv ing research area in the field of cyber security, which is aimed to detect cyber-intrusions. The authors have surveyed many research papers on IDS in the resent past and the essence of their survey is presented in this paper by keeping in thought of helping research scholars in the area of IDS. This paper aims at p resenting brief description of IDS and mach ine learning approach for its imp lementation. Though lot of literature survey on IDS exist, in this paper authors attempt to present a clear picture of IDS in all aspects through their extensive survey.

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A Survey on Cyber Security Analytics

Cited by 2 publications

References 0 publications

Clustering based Intrusion Detection System for effective Detection of known and Zero-day Attacks

Clustering based Intrusion Detection System for effective Detection of known and Zero-day Attacks

Intrusion Detection Analytics: A Comprehensive Survey

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