• Korean Security Journal
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• no.20
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• pp.291-311
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• 2009

Amid intensified global competition, securing high technologies is becoming a prerequisite towards achieving developed nation status. Korea has made tremendous efforts into developing technologies for decades and it has now obtained a leading position in many fields. As a result, however, Korea has become a major target of industrial espionage and not a few Korean businesses have already suffered from it. In order to effectively counter industrial espionage, this research explores the use of polygraph security screening as an internal control method through literature review, and discusses matters which need to be considered before the introduction of it into Korea, focusing on the accuracy of security screening. Since polygraph security screening generates deterrent effect by increasing certainty and celerity of punishment, it makes a valuable contribution to the control of industrial espionage. However, the most important problem with the use of the polygraph in security screening is errors of the examination. Thus, polygraph security screening should be used as a part of comprehensive security management program to reduce the possibility of errors. In addition, because factors such as countermeasures and examiner's experience are known to influence the accuracy of the examination, the issues surrounding them should also be addressed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1441-1455
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• 2017

In order to build a secure electric vehicle charging infrastructure, security research is required because various data including charging and payment data are transmitted in the electric vehicle charging infrastructure. However, previous researches have focused on smart grid related security research such as power system infrastructure rather than charging infrastructure for electric vehicle charging. In addition, research on charging infrastructure is still lacking, and research using a systematic methodology such as threat modeling is not yet under way. Therefore, it is necessary to apply threat modeling to identify security threats and systematically analyze security requirements to build a secure electric vehicle charging infrastructure. In this paper, we analyze the electric vehicle charging infrastructure by accurately identifying possible threats and deriving objective security requirements using threat modeling including Data Flow Diagram, STRIDE, and Attack Tree.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.1
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• pp.13-31
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• 2023

Korean Government-PKI (GPKI) is a public-key infrastructure which provides authentication and security functions for information system used by central government, local governments, and public institutions of the Republic of Korea to provide their own administrative and public services. The current cryptosystem of GPKI was established in the early 2000s, and more than ten years have passed since the last improvement in 2010. Over the past decade or so, the information security, including cryptography, has undergone many changes and will continue to face many changes. Therefore, for the sustainable security of GPKI, it is necessary to review the security of the cryptosystem at this point. In this paper, we analyze the current status and the security of technologies and standards used in the system. We identify cryptographic algorithms with degraded security, international standards which are obsoleted or updated, and cryptographic parameters that should be revised for the high security level. And based on this, we make several suggestions on the reorganization of cryptographic algorithms and related technologies for the security enhancement of GPKI.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.171-182
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• 2014

Common Criteria is a scheme that minimize IT products's vulnerabilities in accordance with the evaluation assurance level. SSDLC(Secure Software Development Lifecycle) is a methodology that reduce the weakness that can be used to generate vulnerabilities of software development life cycle. However, Common Criteria does not consider certificated IT products's vulnerabilities after certificated it. So, it can make a problem the safety and reliability of IT products. In addition, the developer and the evaluator have the burden of duplicating evaluations of IT products that introduce into the government business due to satisfy both Common Criteria and SSDLC. Thus, we researched the relationship among the Common Criteria, the static code analysis tools, and the SSDLC. And then, we proposed how to combine SSDLC into Common Criteria.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.4
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• pp.885-894
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• 2016

As smartphones become more common, anybody can take pictures and record videos easily nowadays. Video files taken from smartphones can be used as important clues and evidence. While you analyze video files taken from smartphones, there are some occasions where you need to prove that a video file was recorded by a specific smartphone. To do this, you can utilize various fingerprint techniques mentioned in existing research. But you might face the situation where you have to strengthen the result of fingerprinting or fingerprint technique can't be used. Therefore forensic investigation of the smartphone must be done before fingerprinting and the database of metadata of video files should be established. The artifacts in a smartphone after video recording and the database mentioned above are discussed in this paper.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1011-1019
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• 2015

CAPTCHA(Completely Automated Public Turing test to tell Computers and Humans Apart) is a test used in computing to distinguish whether or not the user is computer or human. Many web sites mostly use the character-based CAPTCHA consisting of digits and characters. Recently, with the development of OCR technology, simple character-based CAPTCHA are broken quite easily. As an alternative, many web sites add noise to make it harder for recognition. In this paper, we analyzed the most recent CAPTCHA, which incorporates the addition of the natural images to obfuscate the characters. We proposed an efficient method using support vector machine to separate the characters from the background image and use convolutional neural network to recognize each characters. As a result, 368 out of 1000 CAPTCHAs were correctly identified, it was demonstrated that the current CAPTCHA is not safe.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1167-1174
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• 2015

As the market share of smartphone exponentially increases in mobile market, a number of manufacturers have developed their own operating system. Firefox OS is an open source operating system for the smartphone and tablet which is being developed by the Mozilla Foundation. This OS is designed using JavaScript and operated based on HTML5. Even though the number of manufacturers which release the Firefox OS smartphone is consistently increasing, However it is difficult to analyze artifacts in a smartphone in terms of investigation since existing researches on Firefox OS focused on imaging velocity according to abstract forensic process and block size. In this paper, we propose how to collect data in Firefox OS while minimizing data loss and forensic analysis framework based on analysis results on system and user data leaving in a smartphone.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.4
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• pp.727-738
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• 2015

Until recently, power analysis is one of the most popular research issues among various side channel analyses. Since Differential Power Analysis had been first proposed by Kocher et al., various practical power analyses correspond with software/hardware cryptographic devices have been proposed. In this paper, we analyze vulnerability of countermeasure against power analysis exploiting single power trace of public cryptographic algorithm. In ICICS 2010, Clavier et al. proposed Horizontal Correlation Analysis which can recover secret information from a single exponentiation trace and corresponding countermeasures. "Blind operands in LIM", one of their countermeasures, exploits additive blinding in order to prevent leakage of intermediate value related to secret information. However, this countermeasure has vulnerability of having power leakage that is dependant with the message known by an adversary. In this paper, we analyzed vulnerabilities by three attack scenarios and proved them by practical correlation power analysis experiments.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.2
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• pp.241-251
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• 2015

In public-key cryptographic system based on finite field arithmetic, it is very important to challenge for implementing high speed operation. In this paper, we focused on 8-bit ATmega128 processor and concentrated on enhancing efficiency of reduction operation which uses irreducible polynomial $f(x)=x^{271}+x^{207}+x^{175}+x^{111}+1$ and $f(x)=x^{193}+x^{145}+x^{129}+x^{113}+1$. We propose optimized reduction algorithms which are designed to reduce repeated memory accesses by calculating final reduced values of Fast reduction. There are 53%, 55% improvement when proposed algorithm is implemented using assembly language, compare to previous Fast reduction algorithm.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.6
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• pp.1087-1101
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• 2013

Most people are connected to Social Network Services (SNS) through smart devices. Social Network Services are tools that transport information fast and easily. It does not care where he or she comes from. A lot of information circulates and is shared on Social Network Services. but Social Network Services faults are magnified and becoming a serious issue. For instance, malicious users generate multiple IDs easily on Facebook and he can use personal information of others on purpose, because most people tend to undoubtedly accept friend requests. In this paper, we have specified research scope to Facebook, which is one of most popular Social Network Services in the world. We propose a way of minimizing the number of malicious actions on Facebook from malignant users and malicious bots by setting criteria and applying reputation system.