Smart Intrusion Detection System Comprised of Machine Learning and Deep Learning
نویسندگان
چکیده
منابع مشابه
A Hybrid Machine Learning Method for Intrusion Detection
Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...
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During the last decade, anomaly detection has attracted the attention of many researchers to overcome the weakness of signature-based IDSs in detecting novel attacks, and KDDCUP’99 is the mostly widely used data set for the evaluation of these systems. As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a cr...
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efficient intrusion detection is needed as a defense of the network system to detect the attacks over the network. A feature selection and classification based Intrusion Detection model is presented, by implementing feature selection, the dimensions of NSLKDD data set is reduced then by applying machine learning approach, we are able to build Intrusion detection model to find attacks on system ...
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Due to the expansion of high-speed Internet access, the need for secure and reliable networks has become more critical. The sophistication of network attacks, as well as their severity, has also increased recently. As such, more and more organizations are becoming vulnerable to attack. The aim of this research is to classify network attacks using neural networks (NN), which leads to a higher de...
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Detection of unknown attacks in network traffic is gaining increasing importance as modern attacks are characterized by high variabilities and mutation rates. Traditional signature-based intrusion detection systems (IDS) are not able to detect unknown attacks due to failing availability of appropriate signatures. We present an alternative approach based on machine learning techniques which enab...
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ژورنال
عنوان ژورنال: European Journal of Engineering Research and Science
سال: 2020
ISSN: 2506-8016
DOI: 10.24018/ejers.2020.5.10.2128