• 한국정보통신학회논문지
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• 제24권11호
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• pp.1470-1476
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• 2020

모바일 장치와 IoT의 보안 프로토콜 구현에 적합한 경량 보안 SoC 설계에 대해 기술한다. Cortex-M0을 CPU로 사용하는 보안 SoC에는 타원곡선 암호 (elliptic curve cryptography) 코어, SHA3 해시 코어, ARIA-AES 블록 암호 코어 및 무작위 난수 생성기 (TRNG) 코어 등의 하드웨어 크립토 엔진들이 내장되어 있다. 핵심 연산장치인 ECC 코어는 SEC2에 정의된 20개의 소수체와 이진체 타원곡선을 지원하며, 부분곱 생성 및 가산 연산과 모듈러 축약 연산이 서브 파이프라인 방식으로 동작하는 워드 기반 몽고메리 곱셈기를 기반으로 설계되었다. 보안 SoC를 Cyclone-5 FPGA 디바이스에 구현하고 타원곡선 디지털 서명 프로토콜의 H/W-S/W 통합 검증을 하였다. 65-nm CMOS 셀 라이브러리로 합성된 보안 SoC는 193,312 등가 게이트와 84 kbyte의 메모리로 구현되었다.

• 한국컴퓨터정보학회논문지
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• 제23권12호
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• pp.145-151
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• 2018

While commercialization of IoT technologies in the safety management sector is being promoted in terms of industrial safety of large indoor businesses, implementing a system for risk management of small outdoor work sites with frequent site movements is not actively implemented. In this paper, we propose an efficient dynamic workload balancing strategy which combined low-power, wide-bandwidth (LPWA) communication and low-power Bluetooth (BLE) communication technologies to support customized risk management alarm systems for each individual (driver/operator/manager). This study was designed to enable long-term low-power collection and transmission of traffic information in outdoor environment, as well as to implement an integrated real-time safety management system that notifies a whole field worker who does not carry a separate smart device in advance. Performance assessments of the system, including risk alerts to drivers and workers via Bluetooth communication, the speed at which critical text messages are received, and the operation of warning/lighting lamps are all well suited to field application.

• 정보보호학회논문지
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• 제27권4호
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• pp.923-941
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• 2017

부채널 공격은 암호 장비의 물리적인 정보를 기반으로 내장된 암호 알고리즘을 공격하는 방법이다. 대표적인 부채널 공격 대응방법인 마스킹 기법은 암호 알고리즘의 라운드 중간 값에 임의의 마스킹 값을 연산하는 방법이다. 하지만 암호 알고리즘의 모든 라운드에 마스킹 연산이 적용되면 암호화 과정에 과부하가 발생 할 수 있다. 따라서 IoT(Internet of Things), 웨어러블 디바이스 등과 같은 경량 장비에는 마스킹 기법을 암호 알고리즘의 일부 라운드에만 적용하는 축소 마스킹 기법을 사용하는 것이 현실적이다. 본 논문에서는 축소 마스킹 기법이 적용된 SIMON 패밀리에 대한 해밍 웨이트 필터링을 이용한 공격 방법을 소개하고, 실제 프로그래밍을 통해 첫 라운드 키 복구가 가능함을 보인다.

• Journal of Multimedia Information System
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• 제8권1호
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• pp.57-60
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• 2021

Industry 4.0 is continuous automation by applying the latest smart technologies to traditional manufacturing industries. It means that large-scale M2M (Machine-to-Machine) communication and IoT (Internet of Things) technologies are well integrated to build efficient production systems by analyzing and diagnosing various issues without human intervention. Edge computing is widely used for M2M services that handle real-time interactions between devices at industrial machinery tool sites. Here, secure data transmission is required while interacting. Thus, this paper focused on a method of creating and maintaining secret key and security tag used for message authentication between end-devices and edge-device.

• 인터넷정보학회논문지
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• 제23권2호
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• pp.37-44
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• 2022

With the outbreak of COVID-19, non-face-to-face activities such as remote learning and telecommuting have increased rapidly. As a result, the number of people staying at home and the number of hours spent inside the house have also increased since the pandemic. Our team had previously worked on methods for detecting abnormal conditions in a person's health in various circumstances within the house by converging single sensor-based algorithms. In our previous research, we installed IoT sensors indoors to detect people emergency situations requiring aids, the scope of detection was limited to indoor space due to the limitation in sensors. In this study, we have come up with a system that integrates our previous study with a new method for detecting abnormal conditions in outdoor environments using outdoor security cameras and wearable devices. The proposed system enables users to be notified of emergency situations in both indoor and outdoor areas and respond to them as quickly as possible.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권5호
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• pp.1516-1539
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• 2022

This article shows a set of physical information fusion IoT systems that we designed for smart buildings. Its essence is a computer system that combines physical quantities in buildings with quantitative analysis and control. In the part of the Internet of Things, its mechanism is controlled by a monitoring system based on sensor networks and computer-based algorithms. Based on the design idea of the agent, we have realized human-machine interaction (HMI) and machine-machine interaction (MMI). Among them, HMI is realized through human-machine interaction, while MMI is realized through embedded computing, sensors, controllers, and execution. Device and wireless communication network. This article mainly focuses on the function of wireless sensor networks and MMI in environmental monitoring. This function plays a fundamental role in building security, environmental control, HVAC, and other smart building control systems. The article not only discusses various network applications and their implementation based on agent design but also demonstrates our collaborative information fusion strategy. This strategy can provide a stable incentive method for the system through collaborative information fusion when the sensor system is unstable in the physical measurements, thereby preventing system jitter and unstable response caused by uncertain disturbances and environmental factors. This article also gives the results of the system test. The results show that through the CPS interaction of HMI and MMI, the intelligent building IoT system can achieve comprehensive monitoring, thereby providing support and expansion for advanced automation management.

• 정보보호학회논문지
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• 제32권5호
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• pp.965-973
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• 2022

IoT(Internet of Things) 기기가 보편화됨에 따라 사용자의 개인정보를 보호하기 위한 알고리즘들이 많이 개발되었다. 이를 위협하는 레이저 오류 주입 공격은 기기의 외부에 레이저 빔을 의도적으로 주입하여시스템의 비밀 정보 또는 비정상 권한을 획득하는 부채널 분석이다. 필요한 오류 주입의 수를 감소시키기 위해 오류 주입의 타이밍을 결정하는 연구들은 많이 진행되었지만, 오류를 주입할 위치는 기기 전체에 대해 반복적으로 탐색하는 것에 그친다. 그러나 만약 공격자가 알고리즘과 무관한 영역에 레이저 오류 주입을 수행한다면 공격자는 의도한 오류문을 획득하거나 인증 우회를 시도할 수 없으므로, 오류 주입에 취약하여 공격을 수행할 영역을 탐색하는 것은 높은 공격 성공률을 달성하는 중요한 고려 사항이라고 할 수 있다. 본 논문에서는 기기의 칩에서 발생한 전자파와 열 정보를 활용하여 오류 주입 취약 영역을 판별하면 100%의 공격 성공률을 달성할 수 있음을 보이고, 이를 토대로 효율적인 오류 주입 공격 시스템을 제안한다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.108-110
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• 2021

2015년부터 IoT 프로토콜을 사용한 공격이 지속적으로 보고되고 있다. 다양한 IoT 프로토콜 중 공격자는 SSDP(Simple Service Discovery Protocol)를 사용하여 DDoS 공격을 시도하고 있으며, 사이버 대피소 통계로 한국은 약 100만 개의 개방형 SSDP 서버를 보유하고 있다. 인터넷에 연결된 취약한 SSDP 서버는 50Gb 이상의 트래픽을 생성 할 수 있으며 공격 위험은 점진적으로 증가한다. 최근까지도 분산 서비스 거부 공격과 분산 반사 서비스 거부 공격이 보안 문제로 대두되고 있다. 따라서 본 연구의 목적은 기존 SSDP 프로토콜의 요청 패킷을 분석하여 증폭 공격을 식별하고 증폭 공격이 의심되는 경우 대응을 회피하여 다량의 응답 패킷 발생으로 인한 네트워크 부하를 방지하는 것이다.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.221-228
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• 2021

Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.

• Journal of information and communication convergence engineering
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• 제20권4호
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• pp.250-258
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• 2022

The emerging scope of the Internet-of-Things (IoT) has piqued the interest of industry and academia in recent times. Therefore, security becomes the main issue to prevent the possibility of cyberattacks. Jamming attacks are threads that can affect performance and cause significant problems for IoT device. This study explores a smart jamming attack (coalition attack) in which the attackers were previously a part of the legitimate network and are now back to attack it based on the gained knowledge. These attackers regroup into a coalition and begin exchanging information about the legitimate network to launch attacks based on the gained knowledge. Our system enables jammer nodes to select the optimal transmission rates for attacks based on the attack probability table, which contains the most probable link transmission rate between nodes in the legitimate network. The table is updated constantly throughout the life cycle of the coalition. The simulation results show that a coalition of jammers can cause highly successful attacks.