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  2. Network behavior anomaly detection - Wikipedia

    en.wikipedia.org/wiki/Network_Behavior_Anomaly...

    NBAD is the continuous monitoring of a network for unusual events or trends. NBAD is an integral part of network behavior analysis (NBA), which offers security in addition to that provided by traditional anti-threat applications such as firewalls, intrusion detection systems, antivirus software and spyware-detection software.

  3. Cyber threat hunting - Wikipedia

    en.wikipedia.org/wiki/Cyber_threat_hunting

    To be even more effective and efficient, however, threat hunting can be partially automated, or machine-assisted, as well. In this case, the analyst uses software that leverages machine learning and user and entity behavior analytics (UEBA) to inform the analyst of potential risks. The analyst then investigates these potential risks, tracking ...

  4. k-means clustering - Wikipedia

    en.wikipedia.org/wiki/K-means_clustering

    k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster.

  5. Adversarial machine learning - Wikipedia

    en.wikipedia.org/wiki/Adversarial_machine_learning

    Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. [1] A survey from May 2020 revealed practitioners' common feeling for better protection of machine learning systems in industrial applications. [2]

  6. Determining the number of clusters in a data set - Wikipedia

    en.wikipedia.org/wiki/Determining_the_number_of...

    The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]

  7. Cyberattack - Wikipedia

    en.wikipedia.org/wiki/Cyberattack

    The traditional approach to improving security is the detection of systems vulnerable to attack and hardening these systems to make attacks more difficult, but it is only partially effective. [20] Formal risk assessment for compromise of highly complex and interconnected systems is impractical [ 21 ] and the related question of how much to ...

  8. Computer security incident management - Wikipedia

    en.wikipedia.org/wiki/Computer_security_incident...

    An incident response plan (IRP) is a group of policies that dictate an organizations reaction to a cyber attack. Once an security breach has been identified, for example by network intrusion detection system (NIDS) or host-based intrusion detection system (HIDS) (if configured to do so), the plan is initiated. [3]

  9. Penetration test - Wikipedia

    en.wikipedia.org/wiki/Penetration_test

    The process typically identifies the target systems and a particular goal, then reviews available information and undertakes various means to attain that goal. A penetration test target may be a white box (about which background and system information are provided in advance to the tester) or a black box (about which only basic information ...