[Introduction to Incident Handling and Response] Which of the following methods help incident responders to reduce the false-positive alert rates and further provide benefits of focusing on topmost priority issues reducing potential risk and corporate liabilities?

Threat correlation is a process used in Security Information and Event Management (SIEM) systems and by incident responders to analyze and link events from various security tools and log sources. By identifying relationships between seemingly disparate activities (e.g., a port scan, followed by a failed login, then a successful login from a new IP), correlation engines can build a more complete picture of a potential attack. This technique is highly effective at filtering out isolated, low-priority events that are often false positives, thereby reducing alert fatigue. It allows security teams to focus on high-confidence, multi-stage events that represent the most significant threats, enabling better prioritization and risk reduction.

A. Threat profiling focuses on creating a detailed model of a threat actor's motivations, capabilities, and tactics, which aids in strategic defense but does not directly reduce real-time alert volumes.
B. Threat contextualization involves adding business and environmental relevance to threat data to understand its impact, which aids prioritization but does not inherently reduce the rate of false-positive alerts.
D. Threat attribution is the process of identifying the entity responsible for an incident. This is typically a post-detection or forensic activity and does not contribute to initial alert filtering.

1. Valeur

F.

Vigna

G.

Kruegel

C.

& Kemmerer

R. A. (2004). A comprehensive approach to intrusion detection alert correlation. IEEE Transactions on Dependable and Secure Computing

1(3)

146-169. In Section 2

"MOTIVATION

" the paper states

"The main goal of an alert correlation component is to process the alerts produced by a number of IDSs to provide a more concise and high-level view of the security state of a network... This helps the system administrator in focusing on the real threats." (p. 148). DOI: https://doi.org/10.1109/TDSC.2004.21

2. Liao

H. J.

Lin

C. H. R.

Lin

Y. C.

& Tung

K. Y. (2013). Intrusion detection system: A comprehensive review. Journal of Network and Computer Applications

36(1)

16-24. The paper discusses alert correlation as a key technique to address the high false-positive rates of IDSs

stating

"Alert correlation techniques have been proposed to address these problems. The main idea of alert correlation is to analyze the alerts from one or more intrusion detection sensors and provide a concise view of the network attacks." (Section 4.2

p. 21). DOI: https://doi.org/10.1016/j.jnca.2012.09.004

3. Stanford University. (2021). CS 259D: Data-Driven Security - Lecture 10: Alert Correlation. Course materials discuss how correlation systems aggregate and reason about low-level alerts to identify multi-step attack scenarios

explicitly framing it as a solution to the "alert flood" and false positive problem inherent in individual intrusion detection sensors. (Syllabus and lecture overview available via Stanford course catalogs).