Unauthorized Access Point Detection Using Machine Learning Algorithms for Information Protection
| Title | Unauthorized Access Point Detection Using Machine Learning Algorithms for Information Protection |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Kim, D., Shin, D., Shin, D. |
| Conference Name | 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) |
| ISBN Number | 978-1-5386-4388-4 |
| Keywords | Classification algorithms, computer network security, detection, hacking attacks, information protection, learning (artificial intelligence), machine learning, machine learning algorithms, Metrics, military facilities, multilayer perceptrons, Prediction algorithms, privacy, protection, pubcrawl, RTT value data, security, support vector machine, Support vector machines, threat vectors, unauthorized Access Point detection, unauthorized AP, Wi-Fi, wireless AP security, Wireless communication, Wireless fidelity, wireless integrated environment, wireless Internet environment, wireless LAN |
| 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. Especially when using unauthorized APs in company, government and military facilities, there is a high possibility of being subjected to various viruses and hacking attacks. It is necessary to detect unauthorized Aps for protection of information. In this paper, we use RTT (Round Trip Time) value data set to detect authorized and unauthorized APs in wired / wireless integrated environment, analyze them using machine learning algorithms including SVM (Support Vector Machine), C4.5, KNN (K Nearest Neighbors) and MLP (Multilayer Perceptron). Overall, KNN shows the highest accuracy. |
| URL | https://ieeexplore.ieee.org/document/8456152 |
| DOI | 10.1109/TrustCom/BigDataSE.2018.00284 |
| Citation Key | kim_unauthorized_2018 |
- pubcrawl
- wireless LAN
- wireless Internet environment
- wireless integrated environment
- Wireless fidelity
- Wireless communication
- wireless AP security
- Wi-Fi
- unauthorized AP
- unauthorized Access Point detection
- threat vectors
- Support vector machines
- support vector machine
- security
- RTT value data
- Classification algorithms
- protection
- privacy
- Prediction algorithms
- multilayer perceptrons
- military facilities
- Metrics
- machine learning algorithms
- machine learning
- learning (artificial intelligence)
- information protection
- hacking attacks
- detection
- computer network security