Intrusion Detection System Classification Using Different Machine Learning Algorithms on KDD-99 and NSL-KDD Datasets - A Review Paper
نویسندگان
چکیده
منابع مشابه
Feature Selection for Intrusion Detection using NSL-KDD
These days, network traffic is increasing due to the increasing use of smart devices and the Internet. Amount of the intrusion detection studies focused on feature selection or reduction because some of the features are irrelevant and redundant which results lengthy detection process and degrades the performance of an intrusion detection system (IDS). The purpose of this study is to identify im...
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Data Mining is a technique to drilling the database for giving meaning to the approachable data. It involves systematic analysis of large data sets. And the classification is used to manage data, sometimes tree modeling of data helps to make predictions about new data. Recently, we have increasing in the number of cyber-attacks, detecting the intrusion in networks become a very tough job. In Ne...
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A large set of machine learning and pattern classification algorithms trained and tested on KDD intrusion detection data set failed to identify most of the user-toroot and remote-to-local attacks, as reported by many researchers in the literature. In light of this observation, this paper aims to expose the deficiencies and limitations of the KDD data set to argue that this data set should not b...
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Currently, signature based Intrusion Detection Systems (IDS) approaches are inadequate to address threats posed to networked systems by zero-day exploits. Statistical machine learning techniques offer a great opportunity to mitigate these threats. However, at this point, statistical based IDS systems are not mature enough to be implemented in realtime systems and the techniques to be used are n...
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During the last decade the analysis of intrusion detection has become very significant, the researcher focuses on various dataset to improve system accuracy and to reduce false positive rate based on DAPRA 98 and later the updated version as KDD cup 99 dataset which shows some statistical issues, it degrades the evaluation of anomaly detection that affects the performance of the security analys...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2019
ISSN: 1556-5068
DOI: 10.2139/ssrn.3428211