• Title/Summary/Keyword: IoT devices

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A lightweight detection mechanism of control flow modification for IoT devices (IoT 기기를 위한 경량의 소프트웨어 제어 변조 탐지 기법)

  • Pak, Dohyun;Lee, JongHyup
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.6
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    • pp.1449-1453
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    • 2015
  • Constrained IoT devices cannot achieve full coverage of software attestation even though the integrity of software is critical. The limited modification attacks on control flow of software aim at the shadow area uncovered in software attestation processes. In this paper, we propose a light-weight protection system that detects modification by injecting markers to program code.

Acquisition of Multi-channel Biomedical Signals Based on Internet of Things (사물인터넷 기반의 다중채널 생체신호 측정)

  • Kim, Jeong-Hwan;Jeung, Gyeo-Wun;Lee, Jun-Woo;Kim, Kyeong-Seop
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.7
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    • pp.1252-1256
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    • 2016
  • Internet of Things(IoT)-devices are now expanding inter-connecting networking technologies to invent healthcare monitoring system especially for assessing physiological conditions of the chronically-ill patients those with cardiovascular diseases. Hence, IoT system is expected to be utilized for home healthcare by dedicating the original usage of IoT devices to collect the biomedical data such as electrocardiogram(ECG) and photoplethysmography(PPG) signal. The aim of this work is to implement health monitoring system by integrating IoT devices with Raspberry-pi components to measure and analyze ECG and the multi-channel PPG signals. The acquired data and fiducial features from our system can be transmitted to mobile devices via wireless networking technology to support the concept of tele-monitoring services based on IoT devices.

Blockchain-based multi-IoT verification model for overlay cloud environments (오버레이 클라우드 환경을 위한 블록체인 기반의 다중 IoT 검증 모델)

  • Jeong, Yoon-Su;Kim, Yong-Tae;Park, Gil-Cheol
    • Journal of Digital Convergence
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    • v.19 no.4
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    • pp.151-157
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    • 2021
  • Recently, IoT technology has been applied to various cloud environments, requiring accurate verification of various information generated by IoT devices. However, due to the convergence of IoT technologies and 5G technologies, accurate analysis is required as IoT information processing is rapidly processed. This paper proposes a blockchain-based multi-IoT verification model for overlay cloud environments. The proposed model multi-processes IoT information by further classifying IoT information two layers (layer and layer) into bits' blockchain to minimize the bottleneck of overlay networks while ensuring the integrity of information sent and received from embedded IoT devices within local IoT groups. Furthermore, the proposed model allows the layer to contain the weight information, allowing IoT information to be easily processed by the server. In particular, transmission and reception information between IoT devices facilitates server access by distributing IoT information from bits into blockchain to minimize bottlenecks in overlay networks and then weighting IoT information.

IP-Based Heterogeneous Network Interface Gateway for IoT Big Data Collection (IoT 빅데이터 수집을 위한 IP기반 이기종 네트워크 인터페이스 연동 게이트웨이)

  • Kang, Jiheon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.2
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    • pp.173-178
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    • 2019
  • Recently, the types and amount of data generated, collected, and measured in IoT such as smart home, security, and factory are increasing. The technologies for IoT service include sensor devices to measure desired data, embedded software to control the devices such as signal processing, wireless network protocol to transmit and receive the measured data, and big data and AI-based analysis. In this paper, we focused on developing a gateway for interfacing heterogeneous sensor network protocols that are used in various IoT devices and propose a heterogeneous network interface IoT gateway. We utilized a OpenWrt-based wireless routers and used 6LoWAN stack for IP-based communication via BLE and IEEE 802.15.4 adapters. We developed a software to convert Z-Wave and LoRa packets into IP packet using our Python-based middleware. We expect the IoT gateway to be used as an effective device for collecting IoT big data.

Technologies Analysis based on IoT Security Requirements and Secure Operating System (IoT 보안 요구사항 및 보안 운영체제 기반 기술 분석)

  • Ko, Jae-Yong;Lee, Sang-Gil;Kim, Jin-Woo;Lee, Cheol-Hoon
    • The Journal of the Korea Contents Association
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    • v.18 no.4
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    • pp.164-177
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    • 2018
  • As the market for IoT devices grows, it is expected that the scale of malware attack will be considerable. Accordingly, the improvement of related legislation has been actively promoted, the recently strengthened Information and Communication Network Act was enforced. Because IoT related accidents can lead to not only financial damages but also human accidents, IoT device Security has been attracted a great deal of attention. In this paper, IoT devices provide essential security functions through legal and technical perspectives, and analyze related technologies. This can be used to a reference for the Start-up developer and IoT device designer.

An Intelligent Machine Learning Inspired Optimization Algorithm to Enhance Secured Data Transmission in IoT Cloud Ecosystem

  • Ankam, Sreejyothsna;Reddy, N.Sudhakar
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.83-90
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    • 2022
  • Traditional Cloud Computing would be unable to safely host IoT data due to its high latency as the number of IoT sensors and physical devices accommodated on the Internet grows by the day. Because of the difficulty of processing all IoT large data on Cloud facilities, there hasn't been enough research done on automating the security of all components in the IoT-Cloud ecosystem that deal with big data and real-time jobs. It's difficult, for example, to build an automatic, secure data transfer from the IoT layer to the cloud layer, which incorporates a large number of scattered devices. Addressing this issue this article presents an intelligent algorithm that deals with enhancing security aspects in IoT cloud ecosystem using butterfly optimization algorithm.

Adaptive Success Rate-based Sensor Relocation for IoT Applications

  • Kim, Moonseong;Lee, Woochan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.9
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    • pp.3120-3137
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    • 2021
  • Small-sized IoT wireless sensing devices can be deployed with small aircraft such as drones, and the deployment of mobile IoT devices can be relocated to suit data collection with efficient relocation algorithms. However, the terrain may not be able to predict its shape. Mobile IoT devices suitable for these terrains are hopping devices that can move with jumps. So far, most hopping sensor relocation studies have made the unrealistic assumption that all hopping devices know the overall state of the entire network and each device's current state. Recent work has proposed the most realistic distributed network environment-based relocation algorithms that do not require sharing all information simultaneously. However, since the shortest path-based algorithm performs communication and movement requests with terminals, it is not suitable for an area where the distribution of obstacles is uneven. The proposed scheme applies a simple Monte Carlo method based on relay nodes selection random variables that reflect the obstacle distribution's characteristics to choose the best relay node as reinforcement learning, not specific relay nodes. Using the relay node selection random variable could significantly reduce the generation of additional messages that occur to select the shortest path. This paper's additional contribution is that the world's first distributed environment-based relocation protocol is proposed reflecting real-world physical devices' characteristics through the OMNeT++ simulator. We also reconstruct the three days-long disaster environment, and performance evaluation has been performed by applying the proposed protocol to the simulated real-world environment.

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.

Efficient Packet Transmission Utilizing Vertical Handover in IoT Environment (IoT 환경에서 수직 핸드오버를 활용한 효율적인 패킷 전송)

  • Ju, Hyunwoo;Yoo, Younghwan
    • Journal of KIISE
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    • v.42 no.6
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    • pp.807-816
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    • 2015
  • The Internet of Things (IoT) has recently been showered with much attention worldwide. Various kinds of devices, communicating with each other in the IoT, demand multiple communication technologies to coexist. In this environment, mobile devices may utilize the vertical handover between different wireless radio interfaces such as Wi-Fi and Bluetooth, for efficient data transfer. In this paper, an IoT broker is implemented to support the vertical handover, which can also support and manage heterogeneous devices and communication interfaces. The handover is activated based on RSSI, Link Quality values, and real time traffic. The experimental results show that the proposed handover system substantially improves QoS in Bluetooth and reduces power consumption in mobile devices as compared with a system using only Wi-Fi.

Mutual Authentication and Key Agreement Scheme between Lightweight Devices in Internet of Things (사물 인터넷 환경에서 경량화 장치 간 상호 인증 및 세션키 합의 기술)

  • Park, Jiye;Shin, Saemi;Kang, Namhi
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.9
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    • pp.707-714
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    • 2013
  • IoT, which can be regarded as an enhanced version of M2M communication technology, was proposed to realize intelligent thing to thing communications by utilizing Internet connectivity. Things in IoT are generally heterogeneous and resource constrained. Also such things are connected with each other over LLN(low power and lossy Network). Confidentiality, mutual authentication and message origin authentication are required to make a secure service in IoT. Security protocols used in traditional IP Networks cannot be directly adopted to resource constrained devices in IoT. Under the respect, a IETF standard group proposes to use lightweight version of DTLS protocol for supporting security services in IoT environments. However, the protocol can not cover up all of very constrained devices. To solve the problem, we propose a scheme which tends to support mutual authentication and session key agreement between devices that contain only a single crypto primitive module such as hash function or cipher function because of resource constrained property. The proposed scheme enhances performance by pre-computing a session key and is able to defend various attacks.