• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.25 no.4
• /
• pp.961-974
• /
• 2015

With the advancement of SIEM from ESM, it allows deep correlated analysis using huge amount of data. By collecting software's vulnerabilities from assessment with certain classification measures (e.g., CWE), it can improve detection rate effectively, and respond to software's vulnerabilities by analyzing big data. In the phase of monitoring and vulnerability diagnosis Process, it not only detects predefined threats, but also vulnerabilities of software in each resources could promptly be applied by sharing CCE, CPE, CVE and CVSS information. This abstract proposes a model for effective detection and response of software vulnerabilities and describes effective outcomes of the model application.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.12
• /
• pp.179-188
• /
• 2022

In this paper, we propose an efficient and procedural software patch management phases. Every year, organizations have tens of thousands of known vulnerabilities and spend tens of thousands of hours and millions of dollars or more patching them. Despite these efforts, research has shown that the time it takes for an exploit to appear for a given patched vulnerability is shortening. As various types of organizations such as companies and universities manage patches in inconsistent ways, problems such as security problems, system instability, information leakage and work delay due to patches occur. In this paper, we look at the basics required for software patch management and define the factors to be considered for patch management and the effective steps for patch management. Therefore, this study will be used as a method to efficiently and procedurally execute the organization's patch management policy in the process of updating and patching the software in the organization to a new version as a solution to software function modification and security vulnerability.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.30 no.1
• /
• pp.59-74
• /
• 2020

The web space where web applications run is the cyber information warfare of attackers and defenders due to the open HTML. In the cyber attack space, about 84% of worldwide attacks exploit vulnerabilities in web applications and software. It is very difficult to detect web vulnerability attacks with security products such as web firewalls, and high labor costs are required for security verification and assurance of web applications. Therefore, rapid vulnerability detection and response in web space by automated software is a key and effective cyber attack defense strategy. In this paper, we establish a security risk management model by intensively analyzing security threats against web applications and software, and propose a method to effectively diagnose web and application vulnerabilities. The testing results on the commercial service are analyzed to prove that our approach is more effective than the other existing methods.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.24 no.5
• /
• pp.969-974
• /
• 2014

CC (Common Criteria) requires collecting vulnerability information and analyzing them by using penetration testing for evaluating IT security products. Under the time limited circumstance, developers cannot help but apply vulnerability analysis at random to the products. Without the systematic vulnerability analysis, it is inevitable to get the diverse vulnerability analysis results depending on competence in vulnerability analysis of developers. It causes that the security quality of the products are different despite of the same level of security assurance. It is even worse for the other IT products that are not obliged to get the CC evaluation to be applied the vulnerability analysis. This study describes not only how to apply vulnerability taxonomy to IT security vulnerability but also how to manage security quality of IT security products practically.

• Journal of Information Technology Applications and Management
• /
• v.27 no.6
• /
• pp.89-99
• /
• 2020

Cloud computing is rapidly increasing for achieving comfortable computing. Cloud computing has essentially security vulnerability of software and hardware. For achieving secure cloud computing, the vulnerabilities of cloud computing could be analyzed in a various and systematic approach from perspective of the service designer, service operator, the designer of cloud security and certifiers of cloud systems. The paper investigates the vulnerabilities and security controls from the perspective of administration, and systems. For achieving the secure operation of cloud computing, this paper analyzes technological security vulnerability, operational weakness and the security issues in an enterprise. Based on analysis, the paper suggests secure establishments for cloud computing.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.28 no.3
• /
• pp.635-642
• /
• 2018

In the Era of the Fourth Industrial Revolution, we live in huge amounts of software. However, as software increases, software vulnerabilities are also increasing. Therefore, it is important to detect and remove software vulnerabilities. Currently, many researches have been studied to predict and detect software security problems, but it takes a long time to detect and does not have high prediction accuracy. Therefore, in this paper, we describe a method for efficiently predicting software vulnerabilities using machine learning algorithms. In addition, various machine learning algorithms are compared through experiments. Experimental results show that the k-nearest neighbors prediction model has the highest prediction rate.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.12 no.5
• /
• pp.237-242
• /
• 2012

Cyber attacks have rapidly increased by exploiting the underlying vulnerabilities in the target software. However, identifying and correcting these vulnerabilities are extremely difficult and time consuming tasks. To address these problems efficiently, we propose a systematic methodology for security vulnerability assessment process on binary code in the paper. Specifically, we first classified the existing vulnerabilities based on whether the target software run in a Web environment and features of the software. Based on the classification, we determined the list and scope of the vulnerabilities. As our future research direction, we need to further refine and validate our methodology.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.4
• /
• pp.811-820
• /
• 2017

Software automatic technology research recently focuses not only on generating a single path test-case, but also on finding an optimized path to reach the vulnerability through various test-cases. Although Dynamic Symbolic Execution (DSE) technology is popular among these automatic technologies, most DSE technology researches apply only to Linux binaries or specific modules themselves. However, most software are vulnerable based on input files. Therefore, this paper proposes an input file based dynamic symbolic execution method for software vulnerability verification. As a result of applying it to three kinds of actual binary software, it was possible to create a test-case effectively reaching the corresponding point through the proposed method. This demonstrates that DSE technology can be used to automate the analysis of actual software.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.23 no.2
• /
• pp.231-242
• /
• 2013

Recently, automated software testing methods such as fuzzing have been researched to find software vulnerabilities. The purpose of fuzzing is to disclose software vulnerabilities by providing a software with malformed data. In order to increase the probability of vulnerability discovery by fuzzing, we must solve the test suite reduction problem because the probability depends on the test case quality. In this paper, we propose a new method to solve the test suite reduction problem which is suitable for the long test case such as file. First, we suggested the length of test case as a measure in addition to old measures such as coverage and redundancy. Next we designed a test suite reduction algorithm using the new measure. In the experimental results, the proposed algorithm showed better performance in the size and length reduction ratio of the test suite than previous studies. Finally, results from an empirical study suggested the viability of our proposed measure and algorithm for file fuzzing.

• 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.