easyMultiple SelectObjective-mapped
Common Network Intrusion Analysis Techniques — Signature and Anomaly Detection
Which two are common techniques used in network intrusion analysis? (Choose two.)
Quick Answer
The correct answers are signature-based detection and anomaly-based detection, as these are the two common techniques used in network intrusion analysis. Signature-based detection works by matching network traffic against predefined patterns—such as specific byte sequences in a packet payload or known malicious IP addresses—making it highly effective for identifying known threats with very low false-positive rates. Anomaly-based detection, by contrast, establishes a baseline of normal network behavior and flags any traffic that deviates from that baseline, which allows it to uncover novel or zero-day attacks that lack a known signature. On the Cisco CyberOps Associate 200-201 exam, this distinction tests your understanding of how analysts balance precision against discovery; a common trap is assuming that only one technique is used in practice, when in fact they are complementary. A useful memory tip is to think of signature detection as a wanted poster (exact match) and anomaly detection as a suspicious behavior report (deviation from the norm).
⚠ Common exam trap
Cisco often tests the distinction between detection techniques (signature-based and anomaly-based) and supporting tools (threat intelligence feeds, sandboxing) or host-based methods (heuristic analysis), leading candidates to incorrectly select options that are not primary network intrusion analysis techniques.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Signature-based detection
Signature-based detection (C) is a core technique in network intrusion analysis where predefined patterns (signatures) of known attacks—such as specific byte sequences in a packet payload or known malicious IP addresses—are matched against network traffic. This method is highly effective for detecting known threats with low false-positive rates, as it relies on exact pattern matching rather than behavioral baselines.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Threat intelligence feeds
Why it's wrong here
Used for enrichment, not a detection technique per se.
- ✗
Sandboxing
Why it's wrong here
Typically used for analyzing suspicious files, not network traffic.
- ✓
Signature-based detection
Why this is correct
Common network intrusion detection technique.
- ✗
Heuristic analysis
Why it's wrong here
More often used in endpoint or malware analysis.
- ✓
Anomaly-based detection
Why this is correct
Common network intrusion detection technique.
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Same concept, more angles
1 more way this is tested on 200-201
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Match each analysis type to its description.
medium- ✓ A.Behavioral Analysis: Compares activities against baselines to identify threats.
- ✓ B.Signature-Based Analysis: Matches known patterns or signatures to detect threats.
- ✓ C.Anomaly-Based Analysis: Flags deviations from normal behavior.
- ✓ D.Heuristic Analysis: Uses rules and algorithms to detect suspicious behaviors.
- E.Behavioral Analysis: Uses static signatures to identify malware.
- F.Signature-Based Analysis: Identifies unknown threats by machine learning.
Why A: In cybersecurity, analysis types differ: behavioral compares against baselines, signature-based uses known patterns, anomaly-based detects deviations, and heuristic uses rules. Common confusions arise from swapping definitions between these types.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This 200-201 practice question is part of Courseiva's free Cisco certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 200-201 exam.