• Title/Summary/Keyword: Security of IoT

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Privacy Protection for 5G Mobile-based IoT Users (5G 이동 통신 기반의 IoT 사용자를 위한 프라이버시 보호 기법)

  • Jeong, Yoon-Su;Yoon, Deok-Byeong;Shin, Seung-Soo
    • Journal of the Korea Convergence Society
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    • v.11 no.1
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    • pp.1-7
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    • 2020
  • Recently 5G technology is one of the technologies that has been receiving much positive responses from users as it is integrated with virtual technology. However, 5G's security issues have not been fully resolved and more security is soon required. In this paper, an approach technique is proposed as a probability-based hierarchy to provide personal privacy for 5G-based IoT users more safely. The proposed technique is aimed at not exposing the privacy of IoT users to third parties by using two random keys created personally by IoT users. In order to satisfy both safety and efficiency, the proposed technology divides the privacy of IoT users into two layers. In the first stage, IoT users will control access to intermediate media using anonymous keys generated by IoT users, and in the second stage, information of IoT users registered with servers will be darkened and replicated. The proposed technique has improved the accuracy of the privacy protection of IoT users as they assign weights to layered information after layering users' privacy information on a probabilistic basis.

Design Method of Things Malware Detection System(TMDS) (소규모 네트워크의 IoT 보안을 위한 저비용 악성코드 탐지 시스템 설계 방안 연구)

  • Sangyoon Shin;Dahee Lee;Sangjin Lee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.3
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    • pp.459-469
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    • 2023
  • The number of IoT devices is explosively increasing due to the development of embedded equipment and computer networks. As a result, cyber threats to IoT are increasing, and currently, malicious codes are being distributed and infected to IoT devices and exploited for DDoS. Currently, IoT devices that are the target of such an attack have various installation environments and have limited resources. In addition, IoT devices have a characteristic that once set up, the owner does not care about management. Because of this, IoT devices are becoming a blind spot for management that is easily infected with malicious codes. Because of these difficulties, the threat of malicious codes always exists in IoT devices, and when they are infected, responses are not properly made. In this paper, we will design an malware detection system for IoT in consideration of the characteristics of the IoT environment and present detection rules suitable for use in the system. Using this system, it will be possible to construct an IoT malware detection system inexpensively and efficiently without changing the structure of IoT devices that are already installed and exposed to cyber threats.

Novel Method for DNA-Based Elliptic Curve Cryptography for IoT Devices

  • Tiwari, Harsh Durga;Kim, Jae Hyung
    • ETRI Journal
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    • v.40 no.3
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    • pp.396-409
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    • 2018
  • Elliptic curve cryptography (ECC) can achieve relatively good security with a smaller key length, making it suitable for Internet of Things (IoT) devices. DNA-based encryption has also been proven to have good security. To develop a more secure and stable cryptography technique, we propose a new hybrid DNA-encoded ECC scheme that provides multilevel security. The DNA sequence is selected, and using a sorting algorithm, a unique set of nucleotide groups is assigned. These are directly converted to binary sequence and then encrypted using the ECC; thus giving double-fold security. Using several examples, this paper shows how this complete method can be realized on IoT devices. To verify the performance, we implement the complete system on the embedded platform of a Raspberry Pi 3 board, and utilize an active sensor data input to calculate the time and energy required for different data vector sizes. Connectivity and resilience analysis prove that DNA-mapped ECC can provide better security compared to ECC alone. The proposed method shows good potential for upcoming IoT technologies that require a smaller but effective security system.

A Study on Security Vulnerability Management in Electric Power Industry IoT (전력 산업 IoT에서의 보안 취약점 관리에 관한 연구)

  • Lee, Sang-Gi;Lee, Sei-Yoon;Kim, Jeong-Chul
    • Journal of Digital Contents Society
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    • v.17 no.6
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    • pp.499-507
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    • 2016
  • The era of IoT, which figures exchanging data from the internet between things is coming. Recently, former electric power energy policy paradigm, namely Supply side paradigm, is changing, because electric power energy consumption is rapidly increasing. As new paradigm for this limit, convergence of existing electric power grid and ICT(Information and Communication Technology) will accelerate intellectualization of electric power device, its operation system. This change brought opened electric power grid. Consequently, attacks to the national electric power grid are increasing. On this paper, we will analyze security threats of existing IoT, discuss security weakness on electric power industry IoT and suggest needed security requirements, security technology.

Efficient IoT data processing techniques based on deep learning for Edge Network Environments (에지 네트워크 환경을 위한 딥 러닝 기반의 효율적인 IoT 데이터 처리 기법)

  • Jeong, Yoon-Su
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.325-331
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    • 2022
  • As IoT devices are used in various ways in an edge network environment, multiple studies are being conducted that utilizes the information collected from IoT devices in various applications. However, it is not easy to apply accurate IoT data immediately as IoT data collected according to network environment (interference, interference, etc.) are frequently missed or error occurs. In order to minimize mistakes in IoT data collected in an edge network environment, this paper proposes a management technique that ensures the reliability of IoT data by randomly generating signature values of IoT data and allocating only Security Information (SI) values to IoT data in bit form. The proposed technique binds IoT data into a blockchain by applying multiple hash chains to asymmetrically link and process data collected from IoT devices. In this case, the blockchainized IoT data uses a probability function to which a weight is applied according to a correlation index based on deep learning. In addition, the proposed technique can expand and operate grouped IoT data into an n-layer structure to lower the integrity and processing cost of IoT data.

A Study for Interoperability of IoT Platforms (IoT 플랫폼 상호운용성 보장을 위한 기법 연구)

  • Kim, Nam-Woo;Son, Ji-Seong;Kim, Young-Gab
    • Annual Conference of KIPS
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    • 2015.10a
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    • pp.150-153
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    • 2015
  • 사물인터넷(IoT; Internet of things)은 사람의 간섭 없이도 모든 사물들이 인터넷으로 연결되어 상호 통신하고 대화하여 주변 환경을 분석해 서비스를 제공한다. 그러나 IoT 장치 간의 플랫폼이나 서비스 요구사항 등이 표준화 되어 있지 않아, 다른 제조사 또는 서비스 영역에서는 상호연동이 불가능하다는 문제점을 가지고 있다. 이러한 문제를 해결하기 위해 다양한 IoT 플랫폼들이 개발되었지만 이들 플랫폼 간의 상호운용성 문제가 이슈화되고 있다. 따라서, 본 연구에서는 다양한 IoT 플랫폼들 간의 상호운용성 보장을 위하여 기존 IoT 플랫폼들을 분석하고, 메타데이터 레지스트리(MDR; Metadata Registry) 기반의 새로운 IoT 플랫폼 참조모델을 제안한다.

A Hybrid Blockchain-Based Approach for Secure and Efficient IoT Identity Management

  • Abdulaleem Ali Almazroi;Nouf Atiahallah Alghanmi
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.11-25
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    • 2024
  • The proliferation of IoT devices has presented an unprecedented challenge in managing device identities securely and efficiently. In this paper, we introduce an innovative Hybrid Blockchain-Based Approach for IoT Identity Management that prioritizes both security and efficiency. Our hybrid solution, strategically combines the advantages of direct and indirect connections, yielding exceptional performance. This approach delivers reduced latency, optimized network utilization, and energy efficiency by leveraging local cluster interactions for routine tasks while resorting to indirect blockchain connections for critical processes. This paper presents a comprehensive solution to the complex challenges associated with IoT identity management. Our Hybrid Blockchain-Based Approach sets a new benchmark for secure and efficient identity management within IoT ecosystems, arising from the synergy between direct and indirect connections. This serves as a foundational framework for future endeavors, including optimization strategies, scalability enhancements, and the integration of advanced encryption methodologies. In conclusion, this paper underscores the importance of tailored strategies in shaping the future of IoT identity management through innovative blockchain integration.

Design of Hardware(Hacker Board) for IoT Security Education Utilizing Dual MCUs (이중 MCU를 활용한 IoT 보안 교육용 하드웨어(해커보드) 설계)

  • Dong-Won Kim
    • Convergence Security Journal
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    • v.24 no.1
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    • pp.43-49
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    • 2024
  • The convergence of education and technology has been emphasized, leading to the application of educational technology (EdTech) in the field of education. EdTech provides learner-centered, customized learning environments through various media and learning situations. In this paper, we designed hardware for EdTech-based educational tools for IoT security education in the field of cybersecurity education. The hardware is based on a dual microcontroller unit (MCU) within a single board, allowing for both attack and defense to be performed. To leverage various sensors in the Internet of Things (IoT), the hardware is modularly designed. From an educational perspective, utilizing EdTech in cybersecurity education enhances engagement by incorporating tangible physical teaching aids. The proposed research suggests that the design of IoT security education hardware can serve as a reference for simplifying the creation of a security education environment for embedded hardware, software, sensor networks, and other areas that are challenging to address in traditional education..

A Design of IoT Service Access Control using the Smart Contract (스마트 컨트렉트를 사용한 IoT 서비스 접근제어 설계)

  • Kim, Mi-Sun;Seo, Jae-Hyun
    • Annual Conference of KIPS
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    • 2020.05a
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    • pp.279-282
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    • 2020
  • IoT 서비스는 이기종의 다양한 IoT 장치들로부터 수집된 데이터를 목적에 맞게 가공, 저장, 처리하여 사용자에게 서비스를 제공한다. 본 연구에서는 이기종의 IoT 서비스에서 공유 가능한 접근 제어를 위해 스마트 컨트렉트를 사용하고자 한다. 이를 위해 IoT 데이터 공유를 위하여 탱글 네트워크 환경에서 실행되는 스마트 컨트렉트(Smart Contract)를 사용한 IoT 서비스 접근 제어를 설계하였다. 본 연구를 통해 이기종의 다양한 사물인터넷 서비스들이 탱글 네트워크를 통해 스마트 컨트렉트를 공유함으로써, 중앙 제어 없이 IoT 데이터 접근이 안전하게 이루어 질 수 있다.

Privacy Protection Technologies on IoT Environments: Case Study of Networked Cameras (사물인터넷(IoT) 환경에서 프라이버시 보호 기술: 네트워크 카메라 사례 연구)

  • Kim, Mihui
    • The Journal of the Korea Contents Association
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    • v.16 no.9
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    • pp.329-338
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    • 2016
  • Internet of Things (IoTs) technology makes every things in physical world being digitalized and communicated with each other. The technology is emerging as a new paradigm and is expected to provide a convenient and effective life. However, for the successful realization of the IoT technologies, IoT security issues are an important prerequisite, and particularly the privacy protection is expected to become more important in view of object communication directively related with human. In this paper we describe for the security and privacy threats in IoT environment and introduce the shodan (a legitimate search engine that finds backdoor routers, switches, webcams, IoT devices connected to the Internet etc.) that can expose the security and privacy problems. Lastly, we compare the privacy threats through real-world case study of network cameras currently in use and finally derive the countermeasures for the threats.