• Title/Summary/Keyword: IoT Security

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Ontology Based-Security Issues for Internet of Thing (IoT): Ontology Development

  • Amir Mohamed Talib
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.168-176
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    • 2023
  • The use of sensors and actuators as a form of controlling cyber-physical systems in resource networks has been integrated and referred to as the Internet of Things (IoT). However, the connectivity of many stand-alone IoT systems through the Internet introduces numerous security challenges as sensitive information is prone to be exposed to malicious users. In this paper, IoT based-security issues ontology is proposed to collect, examine, analyze, prepare, acquire and preserve evidence of IoT security issues challenges. Ontology development has consists three main steps, 1) domain, purpose and scope setting, 2) important terms acquisition, classes and class hierarchy conceptualization and 3) instances creation. Ontology congruent to this paper is method that will help to better understanding and defining terms of IoT based-security issue ontology. Our proposed IoT based-security issue ontology resulting from the protégé has a total of 44 classes and 43 subclasses.

A IoT Security Service based on Authentication and Lightweight Cryptography Algorithm (인증 및 경량화 암호알고리즘 기반 IoT 보안 서비스)

  • Kim, Sun-Jib
    • Journal of Internet of Things and Convergence
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    • v.7 no.1
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    • pp.1-7
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    • 2021
  • The IoT market continues to expand and grow, but the security threat to IoT devices is also increasing. However, it is difficult to apply the security technology applied to the existing system to IoT devices that have a problem of resource limitation. Therefore, in this paper, we present a service that can improve the security of IoT devices by presenting authentication and lightweight cryptographic algorithms that can reduce the overhead of applying security features, taking into account the nature of resource limitations of IoT devices. We want to apply these service to home network IoT equipment to provide security. The authentication and lightweight cryptographic algorithm application protocols presented in this paper have secured the safety of the service through the use of LEA encryption algorithms and secret key generation by users, IoT devices and server in the IoT environment. Although there is no difference in speed from randomly generating secret keys in experiments, we verify that the problem of resource limitation of IoT devices can be solved by additionally not applying logic for secret key sharing to IoT devices.

A Study on the Improvement of Security Threat Analysis and Response Technology by IoT Layer (IoT 계층별 보안위협 분석 및 대응기술 개선 방안 연구)

  • Won, Jong-Hyuk;Hong, Jung-Wan;You, Yen-Yoo
    • Journal of Convergence for Information Technology
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    • v.8 no.6
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    • pp.149-157
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    • 2018
  • In this paper, we propose an attack detection technology using SDN Controller to study security threats in IoT environment. The research methodology has been developed by applying IoT security threat management technology to the IoT layer and analyzing the research trend of applied security technology. The study results show that the effectiveness of the detection method using the sampling method is studied by adding OpenFlow based SDN Controller to the network switch equipment of the existing IoT network. This method can detect the monitoring and attack of the whole network by interworking with IDS and IPS without affecting the performance of existing IoT devices. By applying such improved security threat countermeasure technology, we expect to be able to relieve anxiety of IoT security threat and increase service reliability.

Design Plan of Secure IoT System based Common Criteria (CC 기반의 안전한 IoT 시스템 설계 방안)

  • Kim, Ju-Hun;Jung, Hyun-Mi;Cho, Han-Jin
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.61-66
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    • 2017
  • Recently, IoT technology is rapidly developing with the keyword "Anytime, Anywhere, Convenient". In addition, security problems in IoT systems are exploding and the damage is increasing as well. In this paper, we propose a method to develop IoT system safely by using internationally recognized CC evaluation in ICT by identifying the standardization and security technology development status defining IoT system security requirements. For this purpose, IoT system and service security aspects are analyzed. Based on this, it is possible to design the security functional requirements and to demonstrate the rationale of the security objective through the correspondence relation, and it is possible to design the protection profile for the IoT system. This is a sufficient basis for the development methodology to be presented in this paper because it is used as a means of referring to the set of security requirements of administrators, developers, and users.

A Study on Security Analysis of Domestic IoT Platforms (국내 IoT 플랫폼 보안에 관한 연구)

  • Yu, Jin-Yong;Kim, Young-Gab
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.05a
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    • pp.584-587
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    • 2018
  • 사물인터넷(Internet of Things; IoT)이 차세대 성장동력으로 부상하면서 선진국을 비롯한 많은 단체들이 IoT 육성을 위한 전략을 세우고 있다. 특히 플랫폼(platform)은 IoT의 중요요소기술로 여겨지면서 IoT 플랫폼 보안에 대한 관심은 나날이 높아지고 있다. 현재 국내 IoT 플랫폼('ARTIK', 'Thingplug', 'IoTMakers')들은 oneM2M과 같은 국제표준기술을 기반으로 플랫폼의 다양한 기능을 제공해줌으로서 사용자가 IoT 생태계(ecosystem)에 보다 쉽게 접근할 수 있도록 독려하고 있다. 이렇듯 IoT 플랫폼 기술이 빠른 속도로 성장하고 있는 반면, 국내 IoT 플랫폼들의 보안에 대한 분석이나 연구사례가 거의 없다. 따라서 본 논문에서는 현재 상용화하고 있는 국내 IoT 플랫폼들을 대상으로 보안분석을 수행하고 보안이슈와 보완방안을 시사한다.

Extract of evidence on the IoT Device (IoT 단말기에서 증거추출 포렌식 연구)

  • Song, Jin-young;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.343-345
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    • 2017
  • With the development of IoT technology, terminals connected with IoT are being used. However, security incidents are occurring as IoT is applied to society as a whole. IoT security incidents can be linked to personal risk and social disruption. In this study, we extract the evidence of security breach in IoT device. Analyze IoT security breach environment and extract Hashing function to secure original integrity and integrity. Then, the Forensic evidence is extracted from the IoT security device to verify the integrity of the original and Forensic reports should be written and studied to be used as legal evidence.

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Network Security Protocol Performance Analysis in IoT Environment (IoT 환경에서의 네트워크 보안 프로토콜 성능 분석)

  • Kang, Dong-hee;Lim, Jae-Deok
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.5
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    • pp.955-963
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    • 2022
  • The Internet of Things (IoT), combined with various technologies, is rapidly becoming an integral part of our daily life. While it is rapidly taking root in society, security considerations are relatively insufficient, making it a major target for cyber attacks. Since all devices in the IoT environment are connected to the Internet and are closely used in daily life, the damage caused by cyber attacks is also serious. Therefore, encryption communication using a network security protocol must be considered for a service in a more secure IoT environment. A representative network security protocol includes TLS (Transport Layer Protocol) defined by the IETF. This paper analyzes the performance measurement results for TLS version 1.2 and version 1.3 in an IoT device open platform environment to predict the load of TLS, a representative network security protocol, in IoT devices with limited resource characteristics. In addition, by analyzing the performance of each major cryptographic algorithm in version 1.3, we intend to present a standard for setting appropriate network security protocol properties according to IoT device specifications.

IoT Security and Machine Learning

  • Almalki, Sarah;Alsuwat, Hatim;Alsuwat, Emad
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.103-114
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    • 2022
  • The Internet of Things (IoT) is one of the fastest technologies that are used in various applications and fields. The concept of IoT will not only be limited to the fields of scientific and technical life but will also gradually spread to become an essential part of our daily life and routine. Before, IoT was a complex term unknown to many, but soon it will become something common. IoT is a natural and indispensable routine in which smart devices and sensors are connected wirelessly or wired over the Internet to exchange and process data. With all the benefits and advantages offered by the IoT, it does not face many security and privacy challenges because the current traditional security protocols are not suitable for IoT technologies. In this paper, we presented a comprehensive survey of the latest studies from 2018 to 2021 related to the security of the IoT and the use of machine learning (ML) and deep learning and their applications in addressing security and privacy in the IoT. A description was initially presented, followed by a comprehensive overview of the IoT and its applications and the basic important safety requirements of confidentiality, integrity, and availability and its application in the IoT. Then we reviewed the attacks and challenges facing the IoT. We also focused on ML and its applications in addressing the security problem on the IoT.

A Design of Technology Element-based Evaluation Model and its Application on Checklist for the IoT Device Security Evaluation (사물인터넷 기기 보안평가를 위한 기술요소 기반의 모델 설계 및 체크리스트 적용)

  • Han, Seul Ki;Kim, Myuhng Joo
    • Convergence Security Journal
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    • v.18 no.2
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    • pp.49-58
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    • 2018
  • As the demand for Internet of Things(IoT) increases, the need for the security of IoT devices is increasing steadily. It is difficult to apply the conventional security theory to IoT devices because IoT devices are subject to be constrained by some factors such as hardware, processor, and energy. Nowadays we have several security guidelines and related documents on IoT device. Most of them, however, do not consider the characteristics of specific IoT devices. Since they describes the security issues comprehensively, it is not easy to explain the specific security level reflecting each characteristics of IoT devices. In addition, most existing guidelines and related documents are described in view of developers and service proposers, and thus ordinary users are not able to assess whether a specific IoT device can protect their information securely or not. We propose an security evaluation model, based on the existing guidelines and related documents, for more specific IoT devices and prove that this approach is more convenient to ordinary users by creating checklists for the smart watch.

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Scheme of Secure IoT based Group communication (확장성과 보안을 보장하는 IoT 디바이스 기반의 그룹통신 기법)

  • Kim, Ki-Young
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.1
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    • pp.98-103
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    • 2021
  • In this study, we propose a group communication technique that guarantees security and expandability by configuring a network consisting of IoT terminals equipped with security functions. As the number of devices participating in the network increases, network resources are proportionally reduced, and adding a security function to the IoT device increases the delay time due to encryption in the IoT device. If the error rate that occurs in the network increases, network resources are quickly consumed due to retransmission. Therefore, IoT terminals are grouped to ensure scalability while supporting security, reducing the consumption of network resources even when the number of participating nodes increases, thus ensuring scalability. For the future implementation, the encryption method used in IoT terminals considered the standard of IEEE802.5.4, and the standardization trend was investigated and classified. The proposed method applies IoT devices that provide security functions of the IEEE802.5.4 standard to the group communication base to ensure reliability and scalability. In the performance evaluation, the effectiveness of the proposed method was confirmed by comparing the delay times when grouping IoT devices with security functions through simulation.