[Solved] How can anomaly detection combined with machine learning improve cybersecurity in connected EVs? — Ans: By learning normal behavior and flagging unusual activity automatically | EV Technology

EV Technology - Connected Vehicle (V2X)

How can anomaly detection combined with machine learning improve cybersecurity in connected EVs?

ABy reducing the need for software updates

BBy increasing the vehicle's horsepower

CBy learning normal behavior and flagging unusual activity automatically

DBy controlling the vehicle's air conditioning system

Step-by-Step Solution

Solution:

Step 1: Understand anomaly detection
Anomaly detection identifies patterns that differ from normal behavior.
Step 2: Role of machine learning
Machine learning helps systems learn normal patterns and detect unusual events automatically.
Step 3: Apply to EV cybersecurity
This helps spot cyber attacks or faults early by flagging strange activity.
Final Answer:
By learning normal behavior and flagging unusual activity automatically -> Option C
Quick Check:
Anomaly detection + ML = Flag unusual activity [OK]

Quick Trick: ML learns normal, spots unusual behavior [OK]

Common Mistakes:

Master "Connected Vehicle (V2X)" in EV Technology

9 interactive learning modes - each teaches the same concept differently

More EV Technology Quizzes

How can anomaly detection combined with machine learning improve cybersecurity in connected EVs?