The Refinements of Digital Antidote for Bot

• Main Authors: Chin-Pin Wang, 王清平
• Other Authors: 王平
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/18099162004614502324

碩士 === 崑山科技大學 === 資訊管理研究所 === 101 === Cloud service providers identify and mitigate new types of network threats recently, especially APT attacks due to the fact that stealing the privacy information from their clients. For most APT attacks, managers employed antivirus software to detect malwares. However, virus behavior contained several signatures and variant is generally built by altering part of signatures, hinting them via self-modification or polymorphic techniques, so that variant can avoid detection. Accordingly, we incorporated the SandNets analysis technique to accurately categorize the virus signatures and refined the digital antidote for bots in previous study for virus immune by using Web Services technique for lowering the loading of network security management. The validation of model uses the production and analysis of DA (Digital Antidote) complied by a case of APT attacks, i.e., Zeus attacks, to simulate the scenario of virus infectious process. Overall, experimental results show that the proposed approach is a useful design to reduce the bot threats as well as effectively provide the protection and risk migration of information security for organizations.