Analysis of Classifier Ensembles for Network Intrusion Detection Systems
نویسندگان
چکیده
منابع مشابه
Improving Network Intrusion Detection Through Classifier Combination
Network intrusion detection is a problem that’s hardly being solved completely. Firewalls and other existing solutions do provide some resistance to the wide variety of attack types that can occur, but they suffer the drawback of not being able to generalize well into unseen attack types. Through this report, we propose a framework for addressing the problem of network intrusion by extracting i...
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Recently by developing the technology, the number of network-based servicesis increasing, and sensitive information of users is shared through the Internet.Accordingly, large-scale malicious attacks on computer networks could causesevere disruption to network services so cybersecurity turns to a major concern fornetworks. An intrusion detection system (IDS) could be cons...
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Computer networks have experienced an explosive growth over the past few years and have become the targets for hackers and intruders. An intrusion detection system's main goal is to classify activities of a system into two major categories: normal activity and suspicious or intrusive activity. The objective of this paper is to expose ANFIS as a neuro-fuzzy classifier to detect intrusions in com...
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as networking and communication technology becomes more widespread, thequantity and impact of system attackers have been increased rapidly. themethodology of intrusion detection (ids) is generally classified into two broadcategories according to the detection approaches: misuse detection and anomalydetection. in misuse detection approach, abnormal system behavior is defined atfirst, and then an...
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ژورنال
عنوان ژورنال: Communications on Applied Electronics
سال: 2017
ISSN: 2394-4714
DOI: 10.5120/cae2017652516