• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.812-815
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• 2010

최근 들어 안드로이드폰, 아이폰, 옴니아폰 등의 스마트폰 사용자가 많이 증가하고 있고 전자상거래 등 그 이용분야 또한 점점 증가되고 있는 추세이다. 많은 사용자들이 스마트폰 환경에 접어들면서 삶의 질이 향상되어지고 있다. 하지만 이렇게 모바일 환경으로 변화되면서 여러 가지 많은 문제점도 발견되어지고 있는데 그중 대표적인 이슈로 논의되어지고 있는 문제 중 하나가 스마트폰에서의 보안취약성에 대한 내용인데 본 논문은 스마트폰 중 안드로이드 환경에서의 보안문제를 짚어보고 악성코드 같은 바이러스로부터 이를 보호하기위해서는 어떤 점이 필요한지 개선안을 제시하고 이를 해결하고자 한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.4
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• pp.757-766
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• 2013

The Malicious code that targets Android is growing dramatically as the number of Android users are increasing. Most of the malicious code have an intention of leaking personal information. Recently in Korea, a malicious code 'chest' has appeared and generated monetary damages by using malicious code to leak personal information and try to make small purchases. A variety of techniques to detect personal information leaks have been proposed on Android platform. However, the existing techniques are hard to apply to the user's smart-phone due to the characteristics of Android security model. This paper proposed a technique that detects and blocks file approaches and internet connections that are not allowed access to personal information by using the system call hooking in the kernel and white-list based approach policy. In addition, this paper proved the possibility of a real application on smart-phone through the implementation.

• Journal of Convergence Society for SMB
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• v.4 no.4
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• pp.13-18
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• 2014

The usage rate of user due to advances in smartphone development is higher than the usage rate to use a PC. However, smartphone usage popularized research to protect sensitive information, such as smart phone users personal information, financial information is a small state. In this paper, we analyzed the various vulnerabilities in smartphone studies to date have been looking into the corresponding port smart consumer dispute resolution methods and criteria for smartphone security attack methods and analysis. In particular, the threat of such a network, malware, Peep attack of the security threats arising from the smartphone they can avoid or mitigate threats to minimize the smartphone security damage is done to the disclosure of personal information, such as direct damage or financial loss the analysis of that method.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.321-322
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• 2022

스마트폰 사용자가 늘어남에 따라 갖춰줘야 할 보안성이 취약하여, 다양한 바이러스 및 악성코드 위험에 노출되어 있다. 안드로이드는 운영체제 중 가장 많이 사용되는 운영체제로, 개방성이 높으며 수많은 악성 앱 및 바이러스가 마켓에 존재하여 위험에 쉽게 노출된다. 2년 넘게 이어진 코로나 바이러스(Covid-19)으로 인해 꾸준히 위험도가 높아진 피싱공격(Phshing attack)은 현재 최고의 스마트폰 보안 위협 Top10에 위치한다. 본 논문에서는 딥러닝 기반 자연어처리 기술을 통해 피싱 공격 대응 방법 제안 및 실험 결과를 도출하고, 또한 향후 제안 방법을 보완하여 피싱 공격 및 다양한 모바일 보안 위협에 대응할 수 있는 앱을 설계할 것이다.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.90-96
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• 2016

The 3390 million people, around 83% of the adult population in Korea use smartphone. Although the safety problem of the certificate has been occurred continuously, most of these users use the certificate. These safety issues as a solution to 'The owner of a mobile phone using SMS authentication technology', 'Biometric authentication', etc are being proposed. but, a secure and reliable authentication scheme has not been proposed for replace the certificate yet. and there are many attacks to steal the certificate and private key. For these reasons, security experts recommend to store the certificate and private key on usb flash drive, security tokens, smartphone. but smartphones are easily infected malware, an attacker can steal certificate and private key by malicious code. If an attacker snatchs the certificate, the private key file, and the password for the private key password, he can always act as valid user. In this paper, we proposed a safe way to keep the private key on smartphone using smartphone's unique information and user password. If an attacker knows the user password, the certificate and the private key, he can not know the smart phone's unique information, so it is impossible to use the encrypted private key. Therefore smartphone user use IT service safely.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.195-200
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• 2012

Smart Phone devices offer convenience for users, but present a new set of security issues due to loss or malicious code. In this paper, a mobile cloud system environment is used with existing smart phones in an attempt to solve the problems in a banking environment. In order to prevent financial damages due to loss or personal information leakage by malicious code, a mobile cloud computing service that provides control and protection of personal information in environment that ensures individual authentication is used. Existing ID / Password with certificate, with the way smart phone dual password authentication scheme using the gyro sensors proposed.

• Review of KIISC
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• v.21 no.4
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• pp.22-31
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• 2011

스마트폰의 성능 향상과 다양한 기능 추가에 따라 스마트폰 사용자의 수는 급증하고 있으며, 모바일 인터넷 활용도가 높아짐에 따라 스마트폰을 통해 PC를 이용한 업무를 대체하는 것이 가능해졌다. 이러한 스마트폰의 성능 진화와 다양한 추가 서비스 제공은 사용자에게 편리함을 주고 있지만, 개인정보 노출, 모바일 악성 코드 등 다양한 위협에 노출될 가능성이 있다. 스마트폰에서의 사용자 인증은 스마트폰 기기를 안전하게 사용하기 위해서 필요한 기본적인 보안 기능이다. 본 논문에서는 스마트폰의 보안 위협 요소와 스마트폰의 사용자 인증 기법에 대해 알아본다. 스마트폰의 전자 지갑 애플리케이션과 해당 애플리케이션을 위해 개발된 사용자 인증 기법에 대해 알아본 후 전자 지갑 애플리케이션을 포함한 스마트폰 사용자 인증 기법의 특정, 장점, 단점 등을 비교 분석한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.455-457
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• 2021

App is used on mobile devices such as smartphones and also has malicious code, which can be divided into normal and malicious depending on the presence or absence of hacking codes. Because there are many kind of malware, it is difficult to detect directly, we propose a method to detect malicious app using AI. Most of the existing methods are to detect malicious app by extracting features from malicious app. However, the number of types have increased exponentially, making it impossible to detect malicious code. Therefore, we would like to propose two more methods besides detecting malicious app by extracting features from most existing malicious app. The first method is to learn normal app to extract normal's features, as opposed to the existing method of learning malicious app and find abnormalities (malicious app). The second one is an 'ensemble technique' that combines the existing method with the first proposal. These two methods need to be studied so that they can be used in future mobile environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.4B
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• pp.599-609
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• 2010

Korean government has recently abrogated WIPI policy to open domestic mobile phone market to the world, which may result in the influx of foreign smart phones. This circumstance has given users more wide range of choices to buy a product and also has brought benefit to buy mobile phone cheaply. On the other hands, this change might have brought potential danger of mobile malware incidents which have only occurred in foreign countries. There are standardized analysis methods and response guides for computer malwares, not but for mobile malwares in our country. In this paper, we introduce existing mobile malwares and available tools for their analysis. Considering domestic circumstances which might not be properly protected against mobile malwares, we propose analysis methods and response guide of mobile malwares.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.374-376
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• 2022

The Malware App Analysis Tool is a system that analyzes Android-based apps by the AI-based algorithm defined in the tool and detects whether malware code is included. Currently, as the spred of smartphones is activated, crimes using malware apps have increased, and accordingly, security for malware apps is required. Android operating systems used in smartphones have a share of more than 70% and are open-source-based, so not only will there be many vulnerabilities and malware, but also more damage to malware apps, increasing demand for tools to detect and analyze malware apps. However, this paper is proposed because there are many difficulties in designing and developing a malware app analysis tool because the security functional requirements for the malware app analysis tool are not clearly specified. Through the developed protection profile, technology can be improved based on the design and development of malware app analysis tools, safety can be secured by minimizing damage to malware apps, and furthermore, trust in malware app analysis tools can be guaranted through common criteria.