• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.6
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• pp.335-343
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• 2015

As the usage of mobile devices becomes diverse, a number of attacks on Android also have increased. Among the attacks, Android can be compromised by flashing a new image of compromised Android Linux. In order to solve this problem, we propose SeBo (Secure Boot System) which prevents compromised Android Linux by guaranteeing secure boot environment for mobile devices based on ARM TrustZone architecture. SeBo checks the hash value of the Android Linux image before the Android Linux executes. SeBo detects all the attacks within 5 seconds. Moreover, since SeBo only trusts the Secure Bootloader from Secure World, SeBo can reduce the additional overhead of checking the Normal Bootloader from Normal World.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.635-638
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• 2023

본 논문에서는 네트워크 보안 장비의 OS로 사용되는 리눅스 시스템의 인증제어 체계인 PAM Module을 이용하여 강화된 보안장비들의 인증제도에 대응할 수 있는 기능들을 개발하며 이를 이용하여 최근 급격히 증가하고 있는 보안장비 해킹 공격에 효과적으로 대비할 수 있도록 한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.2 no.1
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• pp.62-66
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• 2007

This study provide Car driver with car sensor information which is car trouble code in engine and many sensors. This provide car manager with many information of car sensors when we go to vehicle maintenance. This system consist of embedded linux system which uses RS232 and EML327 for CAN communication of car system. Finally this is a lot of application for embedded linux system which get sensor informations of car control sensor system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.5
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• pp.1039-1044
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• 2005

A Multi-channel serial device using the embedded Linux system is designed for a remote controlling and monitoring system. The proposed device consists of a FIFO, a state machine, and an interrupter. The device program written in embedded Linux enables the effective programming of device. While the conventional multi-channel serial devices accesses every individual serial devices, the proposed device accesses the multi-channel serial device as if it is a single serial device. The device efficiently performs the multi-channel serial input/output operation and has fast access time than the conventional multi-channel serial device.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.2
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• pp.355-360
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• 2005

This paper proposes bridge diagnosis system using Embedded LINUX and Genetic algorithm. The proposed system consists of MPC860 processor, FPCA, Bridge sensors and Genetic algorithm for bridge diagnosis. And the proposed system can operate with World Wide Web in GUI environment by lava, therefore, system is useful in diagnosing bridge at all times. Using genetic algorithm, this system can measure various bridge sensors with best gain and offset, therefore, range of measurement can be enlarged. Proposed system is certified by system-based test. .

• 한국ITS학회:학술대회논문집
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• 2008.11a
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• pp.559-564
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• 2008

• Proceedings of the Korean Information Science Society Conference
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• 2007.06a
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• pp.244-245
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• 2007

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.286-289
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• 2020

정보통신 기술의 발달로 무분별한 사이버 공격에 노출되어 있기 때문에 정보보안의 기술이 중요해지고 있다. 이중 침입 탐지 시스템은 방화벽과 더불어 시스템 및 네트워크 보안을 위한 대표적인 수단으로, 현재까지 네트워크 기반인 NIDS와 호스트 기반인 HIDS에 대한 많은 연구가 이루어졌다. 이러한 침입 탐지에 대한 CTI(Cyber Threat Intelligence)를 공유하기 위해 다양한 CTI 프레임워크를 사용하여 CTI 정보를 공유하는 연구가 진행되고 있다. 이에 본 논문에서는 CVE기반의 OpenIOC와 Snort 및 OSSEC에서 생성된 Raw Data를 결합하여 새로운 CTI 프레임 워크를 제안한다. 제안된 시스템을 테스트하기 위해서는 CVE 분석을 기반으로한 Kali Linux로 공격을 진행한다, 이를 통해 생성된 데이터는 시간이 지남에 따라 축적된 데이터를 저장 및 검색을 위해 대규모 분산 처리 시스템과도 결합이 필요할 것으로 예상되며 추후 딥러닝 기술을 활용하면 지능형 지속 위협을 분석하는데 용이할 것으로 예상된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.634-642
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• 2020

With the proliferation of Internet of Things (IoT) devices, using the Linux operating system in various architectures has increased. Also, security threats against Linux-based IoT devices are increasing, and malware variants based on existing malware are constantly appearing. In this paper, we propose a system where the binary data of a visualized Executable and Linkable Format (ELF) file is applied to Local Binary Pattern (LBP) image processing techniques and a median filter to classify malware in a Convolutional Neural Network (CNN). As a result, the original image showed the highest accuracy and F1-score at 98.77%, and reproducibility also showed the highest score at 98.55%. For the median filter, the highest precision was 99.19%, and the lowest false positive rate was 0.008%. Using the LBP technique confirmed that the overall result was lower than putting the original ELF file through the median filter. When the results of putting the original file through image processing techniques were classified by majority, it was confirmed that the accuracy, precision, F1-score, and false positive rate were better than putting the original file through the median filter. In the future, the proposed system will be used to classify malware families or add other image processing techniques to improve the accuracy of majority vote classification. Or maybe we mean "the use of Linux O/S distributions for various architectures has increased" instead? If not, please rephrase as intended.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.690-694
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• 2007

This study provide Car driver with car sensor information which is car trouble code in engine and many sensors. This provide car manager with many information of tar sensors when we go to vehicle maintenance. This system consist of embedded linux system which uses RS232 and EML327 for CAN communication of car system. This System can control digital appliances in home network using wireless and ZigBee. Finally this is a lot of application for embedded linux system which get sensor informations of car control sensor system.