• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.324-327
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• 2011

스마트폰과 무선인터넷 상에서 멀티미디어 사용이 일반화되면서, 스마트폰 환경에서 멀티미디어 관련 취약점을 악용한 공격이 급증하고 있다. 이러한 취약점을 악용한 공격을 예방하기 위해, 퍼징(Fuzzing)을 적용하여 취약점을 미리 발견하려는 연구들이 진행되고 있다. 본 논문에서는 '임의 생성 기반 퍼징'(단순랜덤, simple random) 방법과 '구조적 변이 기반 퍼징'(구조적 변이, structured mutation) 방법을, 안드로이드 스마트폰용 멀티미디어 플레이어에 적용하는 실험을 수행하였다. 또한 PC 환경의 멀티미디어 플레이어들에서 발생했던 기존 취약점을 악용한 공격파일(exploit)을 안드로이드 스마트폰 환경의 멀티미디어 플레이어들에 적용하고 그 결과를 분석하였다. 실험 결과, PC 환경에서는 구조적 변이 퍼징이 효과적인데 비해, 안드로이드 스마트폰 환경에서는 단순 랜덤 퍼징이 효과적임을 알 수 있었다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.2
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• pp.327-333
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• 2014

The rapid expansion of the software industry has brought a serious security threat and vulnerability. Many softwares are constantly attacked by exploit codes using security vulnerabilities. Smart fuzzing is automated method to find software vulnerabilities. However, Many resources are consumed in fuzzing, because the fuzzing needs to create data model for target software and to analyze a data file and software binary. Therefore, The automated method for efficient smart fuzzing is needed to develop the automated data model. In this paper, through analysing the input file format and optimizing the data structure, we propose an efficient data modeling framework for smart fuzzing and implement the framework for detect software vulnerabilities.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.3
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• pp.541-548
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• 2017

The smartphone operates the media server daemon to handle audio service requests. Media server daemons, running with a high privilege in the background, caused many vulnerabilities to applications most frequently used in smart devices including smartphones. Fuzzing is a popularly used methodology to find software vulnerabilities. Unfortunately, fuzzing itself is not much effective in such format-strict environments as media services. In this paper, we propose a file format-aware fuzzing in order to efficiently detect vulnerabilities of media server daemon. We acquired a remote arbitrary code execution vulnerability on iOS/tvOS/MacOS/watchOS, and we verified the effectiveness by comparing our methodology with the fuzzers FileFuzz and ZZUF.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.812-814
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• 2015

유비쿼터스 시대가 ICT 산업의 발달과 함께 도래함에 따라 이용자들의 요구를 충족시켜 주는 다양한 서비스들이 소프트웨어 형태로 등장하고 있다. 이제는 단순 컴퓨터 뿐만이 아니라 모바일, 웨어러블 디바이스, 자동차, 로봇, 의료 산업 등 까지 소프웨어는 현대 사람들의 삶에 깊이 연계되어 있으며 아직도 그 영역은 팽창하고 있다. 이러한 소프트웨어의 풍부한 발달과 비례로 소프트웨어의 취약점을 공략하여 서비스에 치명적인 위협을 가해 이익을 얻으려는 단체도 증가하게 되었다. 본 논문에서는 소프트웨어를 출시하기 전에 취약점을 미리 탐지 식별 할 수 있는 그레이 박스를 활용한 스마트 퍼징 시스템을 제안한다.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.175-180
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• 2017

In accordance with the development of IT industry worldwide, software industry has also grown tremendously, and it is exerting influence on the general society starting from daily life to financial organizations and public institutions. However, various security threats that can inflict serious threat to provided services in proportion to the growing software industry, have also greatly increased. In this thesis, we suggest a smart fuzzing system combined with black box and white box testing that can effectively detectxdistinguish software vulnerability which take up a large portion of the security incidents in application programs.

• Smart Media Journal
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• v.9 no.3
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• pp.71-79
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• 2020

Mobile network is used by many users worldwide for diverse services, including phone-call, messaging and data transfer over the Internet. However, this network may experience massive damage if it is exposed to cyber-attacks or denial-of-service attacks via wireless communication interference. Because the mobile network is also used as an emergency network in cases of disaster, evaluation or verification for security and safety is necessary as an important nation-wide asset. However, it is not easy to analyze the mobile core network because it's built and serviced by private service providers, exclusively operated, and there is even no separate network for testing. Thus, in this paper, a virtual mobile network is built using OpenAirInterface, which is implemented based on 3GPP standards and provided as an open source software, and the structure and protocols of the core network are analyzed. In particular, the S1AP protocol messages captured on S1-MME, the interface between the base station eNodeB and the mobility manager MME, are analyzed to identify potential security threats by evaluating the effect of the messages sent from the user terminal UE to the mobile core network.