Intrusion Detection Alert Correlation
Intrusion alert prioritisation and attack detection using post-correlation analysis
... the alert cor- relation system they had previously presented (Sundaramurthy et ...the correlation system) which indicated the likelihood of true positivity given the quality of the IDS sensor which raised ...
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Mining intrusion detection alert logs to minimise false positives & gain attack insight
... visualising intrusion categories but less suitable for visualising a large set of Source IP ...the intrusion activity on the network after filtering the activity related to the Apache Web ...the ...
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TIAA: A visual toolkit for intrusion alert analysis
... of intrusion alerts reported by heterogeneous in- trusion detection systems ...of intrusion alert ...intensive intrusion alerts, in- cluding alert aggregation/disaggregation, ...
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Intrusion Alert Correlation based on UFP Growth and Genetic Algorithm
... Using alert correlation technique security manager maintain the security of the ...network intrusion has became a critical component of infrastructure protection ...mechanism. Intrusion ...
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Building an Efficient Alert Management Model for Intrusion Detection Systems
... its detection mechanism, optimizing its signatures, and choosing the right location ...IDS alert management techniques fall into this category and include aggregation, clustering, correlation and ...
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Hybrid of structural-causal and statistical model for intrusion alert correlation
... Regarding to Mudzingwa and Agrawal (2012), Debar et al. (2004) and Allen et al. (2000), the most applied solution among organizations in order to optimally monitor and detect intrusions or threats in the network is the ...
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Intrusion Detection Systems with Correlation Capabilities
... limited correlation abilities, it is only possible to group events, ...an alert has been caught by several ...own correlation functions, mainly because it already had a suitable user interface to ...
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INTRUSION DETECTION ALARM CORRELATION: A SURVEY
... first intrusion detection ...developed Intrusion Detection Systems (IDS) capable of detecting attacks in several ...misuse detection as well as anomaly detection has been ...
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Intelligent clustering with PCA and unsupervised learning algorithm in intrusion alert correlation
... The goal of this work is to find the best integration of PCA and unsupervised learning algorithm for clustering intrusion alerts. Our system architecture composed of four main components as in Figure 1 (i.e., ...
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Facilitating Alert Correlation Using Resource Trees
... the alert attributes reported by the intrusion detection ...different alert attributes reported by the IDS are destination IP address, source IP address, destination port, source port and the ...
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Correlation Analysis of Intrusion Alerts
... of intrusion alert data sets, in this chapter we propose three pertur- bation based schemes to anonymize sensitive attributes of ...DARPA intrusion detection scenario specific data sets and we ...
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Adapting query optimization techniques for efficient intrusion alert correlation
... Traditional intrusion detection systems (IDS) focus on low-level attacks or anomalies, and raise alerts indepen- dently, though there may be logical connections between ...or intrusion response ...
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TIAA: A visual toolkit for intrusion alert analysis
... of intrusion alerts reported by misuse detection ...the alert correlation techniques that we developed in [5] and ...of intrusion alert ...of intrusion alerts, including ...
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Adapting query optimization techniques for efficient intrusion alert correlation
... Traditional intrusion detection systems (IDS) focus on low-level attacks or anomalies, and raise alerts indepen- dently, though there may be logical connections between ...or intrusion response ...
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An Improved Framework for Intrusion Alert Correlation
... dent detection of the same attack by different sensors, and also correlates alerts that are caused by an attacker who tests different exploits against a certain program or that runs the same exploit multiple times ...
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Intrusion alert prioritisation and attack detection using post-correlation analysis
... Permanent repository link: http://openaccess.city.ac.uk/8680/ Link to published version: http://dx.doi.org/10.1016/j.cose.2014.12.003 Copyright and reuse: City Research Online aims to ma[r] ...
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Network Payload-based Anomaly Detection and Content-based Alert Correlation. Ke Wang
... the detection rate and false positive rate are calculated based on packets with payloads; non-payload ...the detection rate in figure ...attack detection over the entire set of ...
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Theft Detection and Alert System
... ABSTRACT: In our project we aim to detect any attempt to steal the inventory from an agricultural land. We have used an RFID Reader and Tag, Arduino Uno Microcontroller, a GPS and a GSM module. Additionally, we have also ...
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Intrusion Detection Techniques and Open Source Intrusion Detection (IDS) Tools
... for intrusion so many Attacks like Denial of Service (DDOS), Buffer overflows, Sniffer attacks and Application-Layer attacks have become a common issue ...of Intrusion Detection, Intrusion ...
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Hidden Markov Model Based Intrusion Alert Prediction
... between alert categories was ...erent alert clusters based on their IP ...“unknown” alert cat- egory, four clusters were generated for “sdf” alert category and three clusters were generated ...
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