A smart-phone based privacy-preserving security framework for IoT devices

Togan, Mihai; Chifor, Bogdan-Cosmin; Florea, Ionut; Gugulea, George

doi:10.1109/ecai.2017.8166453

Cited by 18 publications

(11 citation statements)

References 2 publications

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“…Sensors integrated in smartphone have advanced capabilities such as measuring proximity, acceleration and location or record audio/noise, sense electromagnetism or capture images and videos [29]. IoT devices lack According to [5], the smart phone can be employed as authentication factor and it facilitates the authentication of each device based on QR-based authentication framework in a user friendly manner. In the FlexRFID middleware IoT architecture, smartphone could be used as an automatic identification and sensing device at the level of the sensing/auto-tracking layer and as a backend device at the level of the application layer, where various users accessing different applications could get the required services [86].…”

Section: B Rq2 How Mobile Computing Provides Security Options To Enmentioning

confidence: 99%

“…IoT devices are vulnerable to physical attacks due to large deployment. The significance application of smart phone is in IoT environment where all devices are fully connected via device controller, called smartphone [4] .The mobile phone act as smart controller can be used as a security control element for smarthome modules, because it can communicate with both the cloud component and the embedded devices, being able to run an IoT network protocol stack [5]. The security of mobile phone is important one due to many perspectives as it connects IoT devices and it provides a platform that enables to manage the IoT device.…”

Section: Figure 11 Accuracy Of Malware Detection Techniquesmentioning

confidence: 99%

“…is more robust and efficient. These devices can be connected with IoT devices to secure them like smartphone can be used as controller home automation system and IoT devices can be authenticated by using smart phone as QR-code authenticator [4] [5]. The mobile devices can also be used as IoT middleware that is designed specifically for low powered resource constrained to process data easily from sensors [6].…”

Section: Introductionmentioning

confidence: 99%

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Security Analysis of IoT Devices by Using Mobile Computing: A Systematic Literature Review

et al. 2020

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Internet of Things (IoT) devices are operating in various domains like healthcare environment, smart cities, smart homes, transportation, and smart grid system. These devices transmit a bulk of data through various sensors, actuators, transceivers, or other wearable devices. Data in the IoT environment is susceptible to many threats, attacks, and risks. Therefore, a robust security mechanism is indispensable to cope with attacks, vulnerabilities, security, and privacy challenges related to IoT. In this research, a systematic literature review has been conducted to analyze the security of IoT devices and to provide the countermeasures in response to security problems and challenges by using mobile computing. A comprehensive and in-depth security analysis of IoT devices has been made in light of mobile computing, which is a novel approach. Mobile computing's technological infrastructures such as smartphones, services, policies, strategies, and applications are employed to tackle and mitigate these potential security threats. In this paper, the security challenges and problems of IoT devices are identified by a systematic literature review. Then, mobile computing has been used to address these challenges by providing potential security measures and solutions. Hardware and software-based solutions furnished by mobile computing towards the IoT security challenges have been elaborated. To the best of our knowledge, this is the first attempt to analyze the security issues and challenges of IoT in light of mobile computing and it will open a gateway towards future research. INDEX TERMS Internet of Things devices, Security, Mobile Computing, Mobile applications, Smartphone. I. Research Questions Keywords What are the security problems and challenges faced by IoT devices in the network? Inclusion Criteria Research papers published in English language were included Primary studies i.e. original research papers were selected Research papers, book chapters or magazines relevant to our main topic were selected Research papers ranges in years from 2011 to 2019 were included for the studies Exclusion Criteria Papers written other than English language are not included Papers did not answer research questions or did not define the topic properly were excluded Gray papers were excluded Elimination of duplicated papers Research papers with less than three pages were removed

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Section: B Rq2 How Mobile Computing Provides Security Options To Enmentioning

confidence: 99%

Section: Figure 11 Accuracy Of Malware Detection Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Security Analysis of IoT Devices by Using Mobile Computing: A Systematic Literature Review

et al. 2020

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“…The QRC is a very effective technology for many IoT applications in terms of safety and authenticity e.g., these reviewed in [25][26][27][28]. Thus, in [21] a QRC technology has been used in order to perform an authentication procedure for users engaged with an cloud computing environment.…”

Section: Introductionmentioning

confidence: 99%

QR code based authentication method for IoT applications using three security layers

et al. 2020

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A quick response code-based authentication method (QRAM) is proposed. QRAM is applicable for lots of internet of things (IoT) applications. QRAM aims to verify requests of such an access to IoT applications. Requests are made using a quick response code (QRC). To authenticate contents of QRC, users will scan QRC to access IoT applications. To authenticate contents of QRC, three procedures are applied. QRAM contributes to IoT automatic access systems or smart applications in terms of authentication and safety of access. QRAM is evaluated in term of security factors (e.g., authentication). Computation time of authentication procedures for several IoT applications has become a considerable issue. QRAM aims to reduce computation time consumed to authenticate each QRC. Some authentication techniques still face difficulties when an IoT application requires fast response to users; therefore, QRAM aims to enhance so to meet real-time applications. Thus, QRAM is compared to several competitive methods used to verify QRC in term of computation time. Results confirmed that QRAM is faster than other competitive techniques. Besides, results have shown a high level of complexity in term of decryption time needed to deduce private contents of QRC. QRAM also is robust against unauthorized requests of access.

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“…These security solutions are required to build over a secure communication channel on the internet and should be able to overcome the concerns like authentication, availability and usability. Most of the IoT devices follow design patterns of cloud computing, such as, smart-home, where devices at every end are connected to cloud component via a local gateway [2]. Users can communicate and use IoT devices via this cloud component.…”

Section: Introductionmentioning

confidence: 99%

Three-way Security Framework for Cloud based IoT Network

Zeeshan

Reed

Siddiqui

2019

2019 International Conference on Computing, Electronics &Amp; Communications Engineering (iCCECE)

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Internet of Things (IoT) is an extensive and rapidly growing technology in this modern era. Due to its networking nature and rapid implementation in various fields, security is considered a primary challenge. Due to various security vulnerabilities, IoT infrastructure is prone to numerous security threats which in return affecting the IoT infrastructure on a wider scale. This paper proposes a stronger and robust, three-way security framework which is based on Public Key Infrastructure (PKI) certification mechanism. This framework represents a unique way to authenticate both, IoT device and user using digital certificates before granting them access into the system.

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A smart-phone based privacy-preserving security framework for IoT devices

Cited by 18 publications

References 2 publications

Security Analysis of IoT Devices by Using Mobile Computing: A Systematic Literature Review

Security Analysis of IoT Devices by Using Mobile Computing: A Systematic Literature Review

QR code based authentication method for IoT applications using three security layers

Three-way Security Framework for Cloud based IoT Network

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