In the early steps, incident management, tends to follow the same immediate action steps. As more information is gathered, the team’s actions will be adjusted to conform with the circumstances. Upon receiving an alert that a questionable event has occurred, the first step is to verify that it has occurred. Some technical tools such as an Intrusion Detection System (IDS) may provide “false positive” events based on their configuration. Activating a reaction team for every alert may wear people out by “crying wolf” too often and lessen the urgency for a real summons.
Intrusion Detection System :
An intrusion detection system (IDS) is a device or software application that monitors a network or systems for malicious activity or policy violations. Any intrusion activity or violation is typically reported either to an administrator or collected centrally using a security information and event management (SIEM) system. A SIEM system combines outputs from multiple sources and uses alarm filtering techniques to distinguish malicious activity from false alarms.[1]
IDS types range in scope from single computers to large networks.[2] The most common classifications are network intrusion detection systems (NIDS) and Host Based Intrusion Detection System (HIDS). A system that monitors important operating system files is an example of an HIDS, while a system that analyzes incoming network traffic is an example of an NIDS. It is also possible to classify IDS by detection approach. The most well-known variants are signature-based detection (recognizing bad patterns, such as malware) and anomaly-based detection (detecting deviations from a model of "good" traffic, which often relies on machine learning). Another common variant is reputation-based detection (recognizing the potential threat according to the reputation scores). Some IDS products have the ability to respond to detected intrusions. Systems with response capabilities are typically referred to as an intrusion prevention system.[3] Intrusion detection systems can also serve specific purposes by augmenting them with custom tools, such as using a honeypot to attract and characterize malicious traffic.
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