Results 11 to 20 of about 16,271 (257)
Intrusion detection system episteme
Abstract In our paper we investigate the possibilities of modal logics in coalgebras of program systems. We deal with a simplified model of an intrusion detection system. We model an intrusion detection system as a coalgebra and construct its Kripke model of coalgebraic modal linear logic using powerset endofunctor.
Mihályi Daniel +2 more
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A system for distributed intrusion detection [PDF]
The network intrusion-detection concept is extended from the LAN (local area network) environment to arbitrarily wider areas, with the network topology being arbitrary as well. The generalized distributed environment is heterogeneous, i.e. the network nodes can be hosts or servers from different vendors, or some of them could be LAN managers.
Steven R. Snapp +11 more
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Evaluation of intrusion detection systems
This paper presents a comprehensive method for evaluating intrusion detection systems (IDSs). It integrates and extends ROC (receiver operating characteristic) and cost analysis methods to provide an expected cost metric. Results are given for determining the optimal operation of an IDS based on this expected cost metric.
Ulvila, Jacob W., Gaffney, John E.
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Oblivious network intrusion detection systems
Abstract A main function of network intrusion detection systems (NIDSs) is to monitor network traffic and match it against rules. Oblivious NIDSs (O-NIDS) perform the same tasks of NIDSs but they use encrypted rules and produce encrypted results without being able to decrypt the rules or the results.
Mahmoud AbdelHafeez Sayed, Mostafa Taha
openaire +3 more sources
Proposed Hybrid Classifier to Improve Network Intrusion Detection System using Data Mining Techniques [PDF]
Network intrusion detection system (NIDS) is a software system which plays an important role to protect network system and can be used to monitor network activities to detect different kinds of attacks from normal behavior in network traffics.
Sarah Shareef, Soukaena Hashim
doaj +1 more source
Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection
This paper introduces a new integrated learning approach towards developing a new network intrusion detection model that is scalable and adaptive nature of learning. The approach can improve the existing trends and difficulties in intrusion detection. An
Alebachew Chiche, Million Meshesha
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Intrusion Detection System Based on Integrated System Calls Graph and Neural Networks
Computer security is one of the main challenges of today's technological infrastructures, whereas intrusion detection systems are one of the most widely used technologies to secure computer systems.
F. J. Mora-Gimeno +3 more
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An Enhanced Intrusion Detection Model Based on Improved kNN in WSNs
Aiming at the intrusion detection problem of the wireless sensor network (WSN), considering the combined characteristics of the wireless sensor network, we consider setting up a corresponding intrusion detection system on the edge side through edge ...
Gaoyuan Liu +5 more
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In the mobile edge computing (MEC) environment, the resources of edge nodes are limited.It is difficult to detect the intrusion process accurately, and there is no effective intrusion response strategy to deal with external intrusions.An intrusion ...
Wei FAN +3 more
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Cloud computing is considered to be the best technique for storing data online instead of using a hard drive. It includes three different types of computing services that are provided to remote users via the Internet. Cloud computing offers its end users
Muhammad Nadeem +4 more
doaj +1 more source

