• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.17 no.2
• /
• pp.51-59
• /
• 2007

Software testing is the process of analyzing a software item to detect the differences between existing and required conditions and to evaluate the features of the software item. A traditional testing focuses on proper functionality, not security testing. Fuzzing is a one of many software testing techniques and security testing. Fuzzing methodology has advantage that low-cost, efficiency and so on. But fuzzing has defects such as intervening experts. Also, if there is no specification, fuzzing is impossible. ROAD Tool is automated testing tool for RPC(Remote Procedure Call) based protocol and software without specification. Existing tools are semi-automated. Therefore we must modify these tools. In this paper, we design and implement ROAD tool. Also we verify utility in testing results.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.30 no.5
• /
• pp.847-857
• /
• 2020

As IoT equipment is commercialized, Bluetooth or wireless networks will be built into general living devices such as IP cameras, door locks, cars and TVs. Security for IoT equipment is becoming more important because IoT equipment shares a lot of information through the network and collects personal information and operates the system. In addition, web-based attacks and application attacks currently account for a significant portion of cyber threats, and security experts are analyzing the vulnerabilities of cyber attacks through manual analysis to secure them. However, since it is virtually impossible to analyze vulnerabilities with only manual analysis, researchers studying system security are currently working on automated vulnerability detection systems, and Firm-AFL, published recently in USENIX, proposed a system by conducting a study on fuzzing processing speed and efficiency using a coverage-based fuzzer. However, the existing tools were focused on the fuzzing processing speed of the firmware, and as a result, they did not find any vulnerability in various paths. In this paper, we propose IoTFirmFuzz, which finds more paths, resolves constraints, and discovers more crashes by strengthening the mutation process to find vulnerabilities in various paths not found in existing tools.