A novel vulnerability analysis approach to generate fuzzing test case in industrial control systems
A smart grid is nationwide industrial control system that combine IT and traditional electric system.The main hindrance to smart grid is security.To solve this problem we propose a novel approach for vulnerability analysis of smart grid protocols using fuzzing test.The fuzzing test is widely used for vulnerability analysis,however,these studies do not consider the cross-protocol test and are not suitable to smart grid network.Therefore,we propose a novel test case generation method for fuzzing test.Before creating test cases,we classify the protocol fields into three categories by its characteristics.Based on the classification,we can easily create test case based on the categories without considering each fields.So,it helps to generate cross-field and cross-layer test case.To verify our approach we examine the common used protocol library using the test case generated by proposed method and successfully find unknown abnormality.
fuzzing test vulnerability analysis industrial control system security smart grid security
SungJin Kim WooYeon Jo Taeshik Shon
Department of Computer Engineering,Ajou University,Suwon,Republic of Korea Department of Cyber Security,Ajou University,Suwon,Republic of Korea
国际会议
重庆
英文
566-570
2016-03-20（万方平台首次上网日期，不代表论文的发表时间）