Unauthorized access point detection using machine learning algorithms for information protection
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Unauthorized Access Point Detection Using Machine Learning Algorithms for Information Protection. Abstract: With the frequent use of Wi-Fi and hotspots that provide a wireless Internet environment, awareness and threats to wireless AP (Access Point) security are steadily increasing.
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Unauthorized access point detection using machine learning algorithms for information protection
Explanation:
- Awareness and threats to wireless AP (Access Point) security are steadily increasing with the frequent use of Wi-Fi and hotspots that provide a wireless Internet environment. There is a high likelihood of being subjected to various viruses and hacking attacks, particularly when using unauthorized APs in business, government, and military facilities. So, for information security, it is important to detect unauthorized APs.
- RTT (Round Trip Time) value data set used to catch authorized and unauthorized APs in an integrated wired / wireless system, analyzing them using machine learning algorithms containing SVM (Support Vector Machine), C4.5, KNN (K Nearest Neighbors) and MLP (Multilayer Perceptron). Overall, KNN is the most reliable of all.
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