Intelligent Security Predictive System

• Main Authors: LEE, CHUN-CHING, 李峻慶
• Other Authors: LIN, WEN-TSUNG
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/2qz67y

碩士 === 明新科技大學 === 電機工程系碩士班 === 106 === Trend Micro mentioned in the 2016 Information Security General Review that Taiwan’s ransomware attacks accounted for the top 20% of the world [1], indicating that Taiwan’s current government units and companies in the domestic industry are facing serious information security issues, the largest in recent years. The ransomware attack on WannaCry [2] caused many SME users' computers to be encrypted and required to pay Bitcoin to restore the state of the computer. This shows that Taiwanese SMEs have not implemented sophisticated information security measures to prevent cyber attacks. This paper proposes a Intelligent Security Predictive System. Allowing the security center to conduct security control on the client computer, ISPS can perform statistical analysis of the security vulnerability, security warning, and prevent various potential vulnerability attacks. The cloud server of the Security Center collects the Windows Event Log of the client computer for statistics and analysis, evaluates the threat level of each client computer through the algorithm and displays the statistics on the web dashboard of the security center. This paper completed the prototype of the Intelligent Security Predictive System, and the artificial intelligence model was also completed. The accuracy rate of the model reached 0.95. The Log file was thrown in for prediction, and the positive and negative can be accurately judged.