• Title/Summary/Keyword: Security of IoT

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A Study on Interoperability of Heterogeneous IoT Platform Device Identification (이종 IoT 플랫폼 디바이스 식별체계 상호연동에 대한 연구)

  • Koo, Ja-Hoon;Kim, Young-Gab
    • Annual Conference of KIPS
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    • 2017.11a
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    • pp.1279-1282
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    • 2017
  • 현재 사물인터넷(Internet of Things; IoT) 기술을 이용한 스마트홈 환경을 구축하기 위해서는 같은 식별체계를 사용하는 플랫폼 디바이스를 사용해야 한다. 그러나 주요 IoT 플랫폼들은 각각 다른 식별체계를 사용하고 있기 때문에 이종 플랫폼 간 디바이스 식별이 어려운 상황이다. 이종 플랫폼 간 디바이스 식별체계 상호연동에 대한 연구는 진행 중이며 아직까지 해결책은 제시되지 않았다. 따라서 본 논문에서는 주요 IoT 플랫폼인 oneM2M, GS1 Oliot, IBM Watson IoT, OCF IoTivity의 디바이스 식별체계를 분석하고 비교하여 서로 다른 플랫폼 간 디바이스 식별체계에 대한 번역기 또는 해석기의 필요성과 개념모델을 제시한다.

A Study on the Remote Authentication Method between IoT Devices using a Trusted Security Module (신뢰 보안 모듈을 이용한 IoT 기기 간 원격 인증 방법에 관한 연구)

  • Han, Jin-Hee;Jeon, YongSung
    • Annual Conference of KIPS
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    • 2015.10a
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    • pp.587-590
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    • 2015
  • IoT 환경에서 서로 다른 사양을 갖는 기기 간 통신에서의 보안 취약성, 사용자의 프라이버시 데이터 유출, 인가 받지 않은 기기나 사용자로 인한 기기 위 변조, 기기 오작동 등의 보안 위협 발생 가능성이 증가할 것이라는 예측과 더불어 다양한 보안 위협에 대응할 수 있는 보안 기술에 대한 관심이 높아지고 있다. 본 논문에서는 신뢰 보안 모듈과 클라우드 서버를 이용한 기기 간 원격 인증 및 기기 관리 방법에 대해 기술한다. 수 많은 기기가 인터넷으로 연결되어 운용되는 IoT 환경에서 신뢰 보안 모듈을 활용한 IoT 기기 간 원격 인증, 기기 보안 업데이트 및 안전한 기기 관리 기능 등을 통해 보다 안전하고 신뢰할 수 있는 IoT 서비스 제공이 가능해짙 수 있을 것이다.

Changes in the Industrial Structure caused by the IoT and AI (사물인터넷과 AI가 가져올 산업구조의 변화)

  • Kim, Jang-Hwan
    • Convergence Security Journal
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    • v.17 no.5
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    • pp.93-99
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    • 2017
  • Recently IoT(Internet of Things) service industry has grown very rapidly. In this paper, we investigated the changes in IoT service industry as well as new direction of human life in future global society. Under these changing market conditions, competition has been also changed into global and ecological competition. But compared to the platform initiatives and ecological strategies of global companies, Korean companies' vision of building ecosystems is still unclear. In addition, there is a need of internetworking between mobile and IoT services. IoT security Protocol has weakness of leaking out information from Gateway which connected wire and wireless communication. As such, we investigate the structure of IoT and AI service ecosystem in order to gain strategic implications and insights for the security industry in this paper.

An Analysis of Research Trends in IoT Privacy (IoT 기기의 개인정보보호에 대한 국내외 연구 동향 분석)

  • Seo, Jeong-Eun;Oh, Jun-Hyoung;Lee, Kyung-Ho
    • Annual Conference of KIPS
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    • 2018.10a
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    • pp.268-271
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    • 2018
  • 199년 MIT에 근무하던 캐빈 애시톤(Kevin Ashton)이 처음 언급했던 Internet of Things(이하 IoT)라는 말은 20년도 채 지나지 않은 2018년 현재, 대부분의 소비재 시장에 접목하여 사용하는 기술 중 하나가 되었다. IoT 기술의 발전과 함께 IoT 보안 시장이 성장하고 있고, IoT 보안관련 연구 또한 증가하는 추세이다. 그러나 국내외를 막론하고 개인정보 유출 사건으로 인해 개인정보보호에 대한 인식과 필요성이 커졌음에도 불구하고, IoT 기기의 개인정보보호에 대한 연구는 미흡한 상황이다. 이에 본 논문은 현재까지 게재된 논문들을 바탕으로 국내외 IoT 기기의 개인정보에 관한 연구 동향을 분석한다.

An IoT Information Security Model for Securing Bigdata Information for IoT Users (IoT 사용자의 빅데이터 정보를 안전하게 보호하기 위한 IoT 정보 보안 모델)

  • Jeong, Yoon-Su;Yoon, Deok-Byeong;Shin, Seung-Soo
    • Journal of Convergence for Information Technology
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    • v.9 no.11
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    • pp.8-14
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    • 2019
  • Due to the development of computer technology, IoT technology is being used in various fields of industry, economy, medical service and education. However, multimedia information processed through IoT equipment is still one of the major issues in the application sector. In this paper, a big data protection model for users of IoT based IoT is proposed to ensure integrity of users' multimedia information processed through IoT equipment. The proposed model aims to prevent users' illegal exploitation of big data information collected through IoT equipment without users' consent. The proposed model uses signatures and authentication information for IoT users in a hybrid cryptographic method. The proposed model feature ensuring integrity and confidentiality of users' big data collected through IoT equipment. In addition, the user's big data is not abused without the user's consent because the user's signature information is encrypted using a steganography-based cryptography-based encryption technique.

A study on the direction of security control of IoT environment (사물인터넷 환경에서의 보안 관제 방향에 관한 연구)

  • Koh, Keunho;Lee, Sungryoul;Ahn, Seongjin
    • Convergence Security Journal
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    • v.15 no.5
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    • pp.53-59
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    • 2015
  • With radical development of information and communication Technology, Internet of Things(IoT) era - all the th ings around us are connected through internet so that it enables objects to exchange data with connected devices a nd is expected to offer new advanced services that goes beyond the value where each existing objects could have o ffered respectively - has come. Concerns regarding security threat are being raised in adopting IoT as the number of internet-connected appliances are rapidly increasing. So, we need to consider how to protect and control countles s objects. This paper covers the role and procedures of existing security control. Futhermore, it provides information about the direction of security control when it comes to IoT.

Cybersecurity Audit of 5G Communication-based IoT, AI, and Cloud Applied Information Systems (5G 통신기반 IoT, AI, Cloud 적용 정보시스템의 사이버 보안 감리 연구)

  • Im, Hyeong-Do;Park, Dea-Woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.3
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    • pp.428-434
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    • 2020
  • Recently, due to the development of ICT technology, changes to the convergence service platform of information systems are accelerating. Convergence services expanded to cyber systems with 5G communication, IoT, AI, and cloud are being reflected in the real world. However, the field of cybersecurity audit for responding to cyber attacks and security threats and strengthening security technology is insufficient. In this paper, we analyze the international standard analysis of information security management system, security audit analysis and security of related systems according to the expansion of 5G communication, IoT, AI, Cloud based information system security. In addition, we design and study cybersecurity audit checklists and contents for expanding security according to cyber attack and security threat of information system. This study will be used as the basic data for audit methods and audit contents for coping with cyber attacks and security threats by expanding convergence services of 5G, IoT, AI, and Cloud based systems.

A double-blockchain architecture for secure storage and transaction on the Internet of Things networks

  • Aldriwish, Khalid
    • International Journal of Computer Science & Network Security
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    • v.21 no.6
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    • pp.119-126
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    • 2021
  • The Internet of Things (IoT) applications are quickly spread in many fields. Blockchain methods (BC), defined as a distributed sharing mechanism, offer excellent support for IoT evolution. The BC provides a secure way for communication between IoT devices. However, the IoT environments are threatened by hacker attacks and malicious intrusions. The IoT applications security are faced with three challenges: intrusions and attacks detection, secure communication, and compressed storage information. This paper proposed a system based on double-blockchain to improve the communication transactions' safety and enhance the information compression method for the stored data. Information security is enhanced by using an Ellipse Curve Cryptography (ECC) considered in a double-blockchain case. The data compression is ensured by the Compressed Sensing (CS) method. The conducted experimentation reveals that the proposed method is more accurate in security and storage performance than previous related works.

Device Identification System for Corporate Internal Network Visibility in IoT Era (IoT 시대 기업 내부 네트워크의 가시성 확보를 위한 단말 식별 시스템 설계)

  • Lee, Dae-Hyo;Kim, Yong-Kwon;Lee, Dong-Bum;Kim, Hyeob
    • Convergence Security Journal
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    • v.19 no.3
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    • pp.51-59
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    • 2019
  • In this paper, we propose a device identification system for network visibility that can maintain the secure internal network environment in the IoT era. Recently, the area of enterprise network is getting huge and more complicated. Not only desktops and smartphones but also business pads, barcode scanners, APs, Video Surveillance, digital doors, security devices, and lots of Internet of Things (IoT) devices are rapidly pouring into the business network, and there are highly risk of security threats. Therefore, in this paper, we propose the device identification system that includes the process and module-specific functions to identify the exploding device in the IoT era. The proposed system provides in-depth visibility of the devices and their own vulnerabilities to the IT manager in company. These information help to mitigate the risk of the potential cyber security threats in the internal network and offer the unified security management against the business risks.

A new method to detect attacks on the Internet of Things (IoT) using adaptive learning based on cellular learning automata

  • Dogani, Javad;Farahmand, Mahdieh;Daryanavard, Hassan
    • ETRI Journal
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    • v.44 no.1
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    • pp.155-167
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    • 2022
  • The Internet of Things (IoT) is a new paradigm that connects physical and virtual objects from various domains such as home automation, industrial processes, human health, and monitoring. IoT sensors receive information from their environment and forward it to their neighboring nodes. However, the large amounts of exchanged data are vulnerable to attacks that reduce the network performance. Most of the previous security methods for IoT have neglected the energy consumption of IoT, thereby affecting the performance and reducing the network lifetime. This paper presents a new multistep routing protocol based on cellular learning automata. The network lifetime is improved by a performance-based adaptive reward and fine parameters. Nodes can vote on the reliability of their neighbors, achieving network reliability and a reasonable level of security. Overall, the proposed method balances the security and reliability with the energy consumption of the network.