Estimating the Number of Attacks in Wireless Networks and its Applications

• Main Authors: Wei-Chia Lai, 賴韋嘉
• Other Authors: 方士豪
• Format: Others
• Language: en_US
• Online Access: http://ndltd.ncl.edu.tw/handle/99973376621402961727

碩士 === 元智大學 === 電機工程學系 === 100 === Received signal strength (RSS) is commonly employed in network services. However, it's sensitive to malicious attacks due to the nature of its open medium. Traditional cryptographic technique can provide personal privacy. However, it can't defend the physical attacks. This paper proposes two methods to estimate number of attacks, called the Maximum Union-based likelihood Ratio (MULR) and Maximum Union-based likelihood Difference (MULD). These methods adopt "union" and "intersection" operators to combine all possible combinations, which is capable of estimating correct number of attacks under more attacks. In simulation, we evaluate capability to estimate number of attacks. The results demonstrated these approaches better than A Simple Outlier (ASO) and RANdom SAmple Consensus (RANSAC). The experimental results demonstrated capability in an actual Wi-Fi network again. In application, we try to use estimating results to improve cluster-based and sensor selection methods in positioning performance. The results show that the performance is improved by our proposed method.