Which detection technique might use code similarities to label a harmless application as a threat?

Raj. CHO -2025

Nursing Informatics & Technology [E5]

Medium

Appeared in: Raj. CHO -2025

Explanation

Heuristics is a detection method that uses algorithms and rule-sets to identify potential threats by analyzing a program's code for suspicious attributes and command structures.
This method does not rely on a known signature but rather on patterns that are characteristic of malicious software.
Because a harmless application can coincidentally contain code structures or functions that a heuristic engine deems suspicious, this method is prone to flagging safe programs as threats (false positives).

Option A: Signature-based detection requires an exact match to a known malware signature (a specific sequence of bytes). It does not use general 'similarities' and therefore has a very low rate of false positives.
Option B: Sandbox detection focuses on the behavior of an application, not its static code. It runs the program in a secure, isolated environment to see if it performs malicious actions (e.g., deleting files, encrypting data). A harmless app would not exhibit such behaviors.
Option D: This is not a valid option choice but a placeholder indicating the question was not answered by the test-taker.

Visual 1: Flowchart - A flowchart illustrating the decision process for each detection type. For signature-based, it would show a 'match/no-match' path. For heuristics, it would show a 'score above/below threshold' path. For sandbox, it would show 'malicious behavior observed/not observed'.

Clinical Relevance

Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Malware Detection Methods and False Positives as background academic context rather than a clinical decision trigger.
In a hospital, a false positive from a heuristic scan could mistakenly quarantine a critical application, such as a medication database or a patient monitoring interface, disrupting clinical workflow and potentially delaying care.
Nurses should be trained to not immediately dismiss or override security alerts, but to contact the IT department to verify the threat. This prevents both the accidental disabling of a needed application and the potential spread of a real virus.
What if? - If a hospital exclusively used signature-based detection, it would be highly vulnerable to new, 'zero-day' malware attacks, as the system would have no signature to match against. This is why a multi-layered approach including heuristics is standard.

How to Approach the Question

First, identify the key concepts in the question: 'code similarities' and 'labeling a harmless application as a threat' (which defines a false positive).
Analyze the term 'similarities'. This implies a method that doesn't require an exact match but makes an educated guess.
Evaluate each option: 'Signature-based' implies exact match. 'Sandbox' implies behavior, not static code. 'Heuristics' is based on rules and patterns, which aligns with guessing based on similarity.
Conclude that heuristics is the only method described that is inherently designed to work with similarities and is therefore susceptible to this type of error.

Concept Tested & Keywords

Concept Tested: Malware Detection Methods and False Positives
Stem keywords: detection technique, code similarities, harmless application, threat
Lead-in keywords: Which

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