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False alarm minimization techniques in signature-based intrusion detection systems: A survey
A network based Intrusion Detection System (IDS) gathers and analyzes network packets
and report possible low level security violations to a system administrator. In a large network …
and report possible low level security violations to a system administrator. In a large network …
A systematic survey on multi-step attack detection
Since the beginning of the Internet, cyberattacks have threatened users and organisations.
They have become more complex concurrently with computer networks. Nowadays …
They have become more complex concurrently with computer networks. Nowadays …
Danger theory: The link between AIS and IDS?
We present ideas about creating a next generation Intrusion Detection System (IDS) based
on the latest immunological theories. The central challenge with computer security is …
on the latest immunological theories. The central challenge with computer security is …
Data mining and machine learning—towards reducing false positives in intrusion detection
T Pietraszek, A Tanner - Information security technical report, 2005 - Elsevier
Intrusion Detection Systems (IDSs) are used to monitor computer systems for signs of
security violations. Having detected such signs, IDSs trigger alerts to report them. These …
security violations. Having detected such signs, IDSs trigger alerts to report them. These …
Artificial immune systems
The biological immune system is a robust, complex, adaptive system that defends the body
from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self …
from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self …
Log correlation for intrusion detection: A proof of concept
Intrusion detection is an important part of networked-systems security protection. Although
commercial products exist, finding intrusions has proven to be a difficult task with limitations …
commercial products exist, finding intrusions has proven to be a difficult task with limitations …
Alert correlation algorithms: A survey and taxonomy
Alert correlation is a system which receives alerts from heterogeneous Intrusion Detection
Systems and reduces false alerts, detects high level patterns of attacks, increases the …
Systems and reduces false alerts, detects high level patterns of attacks, increases the …
Modeling network intrusion detection alerts for correlation
J Zhou, M Heckman, B Reynolds, A Carlson… - ACM Transactions on …, 2007 - dl.acm.org
Signature-based network intrusion-detection systems (NIDSs) often report a massive
number of simple alerts of low-level security-related events. Many of these alerts are …
number of simple alerts of low-level security-related events. Many of these alerts are …
Efficient attack graph analysis through approximate inference
Attack graphs provide compact representations of the attack paths an attacker can follow to
compromise network resources from the analysis of network vulnerabilities and topology …
compromise network resources from the analysis of network vulnerabilities and topology …
Systematic review and quantitative comparison of cyberattack scenario detection and projection
Intrusion Detection Systems (IDSs) automatically analyze event logs and network traffic in
order to detect malicious activity and policy violations. Because IDSs have a large number of …
order to detect malicious activity and policy violations. Because IDSs have a large number of …