Cyber and Physical Security Vulnerability Assessment for IoT-Based Smart Homes

Ali, Bako; Awad, Ali Ismail

doi:10.3390/s18030817

Cited by 256 publications

(153 citation statements)

References 53 publications

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“…It is hoped that this will allow for a more secure and private system, although this remains for further exploration. However, as researchers continue to consider the approaches combined in this work, like [28] for Privacy-by-Design in IoT, and [3] for IoT security with OCTAVE-Allegro, it is expected that this merger will aid developers.…”

Section: Discussionmentioning

confidence: 99%

“…This more recent refinement is targeted toward much smaller groups and individuals aiming to develop "broad assessment of an organization's operational risk environment...without the need for extensive risk assessment knowledge" [9]. This approach has recently begun to be investigated in the IoT domain toward gaining an understanding of IoT security, as in [3]. The OCTAVE-Allegro methodology consists of eight steps toward four key tasks, namely establishing drivers, profile assets, identification of threats, and identification and mitigation of risks, [9].…”

Section: Octave-allegro Methodology For Corementioning

confidence: 99%

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Deriving Privacy and Security Considerations for CORE

Morris

Lessio

2018

Proceedings of the 2nd International Workshop on Multimedia Privacy and Security

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Adaptive Context Environ m e n t s (ACE) Lab 2018 Deriving privacy and secu rity consid e r a t i o n s for CORE Morris, Alexis and Lessio, Nadin e Su g g e s t e d citat i o n : Morris, Alexis and Lessio, Nadin e (2018) Deriving privacy and secu rity consid e r a t i o n s for CORE. In: MPS '18 Proce e di n g s of the 2nd Inte r n a t i o n a l Works h o p on Multim e di a Privacy and Secu rity, 15-19 Oct 2018, Toront o, Cana d a . Available at http://op e n r e s e a r c h . o c a d u . c a /i d/ e p ri n t/ 2 4 2 1 / Open Res ear c h is a publicly acces si bl e, curat e d repositor y for the pres e r v a ti on and diss e m i n a ti o n of scholarly and creativ e outp u t of the OCAD Univer sity com m u n i t y . Mat erial in Open Res earc h is open acces s and mad e available via the cons e n t of the author and/or rights holder on a non-exclusiv e basis.ABSTRACT The internet-of-things (IoT) consists of embedded devices and their networks of communication as they form decentralized frameworks of ubiquitous computing services. Within such decentralized systems the potential for malicious actors to impact the system is significant, with far-reaching consequences. Hence this work addresses the challenge of providing IoT systems engineers with a framework to elicit privacy and security design considerations, specifically for indoor adaptive smart environments. It introduces a new ambient intelligence indoor adaptive environment framework (CORE) which leverages multiple forms of data, and aims to elicit the privacy and security needs of this representative system. This contributes both a new adaptive IoT framework, but also an approach to systematically derive privacy and security design requirements via a combined and modified OCTAVE-Allegro and Privacy-by-Design methodology. This process also informs the future developments and evaluations of the CORE system, toward engineering more secure and private IoT systems. CCS CONCEPTS• Human-centered computing → Mixed / augmented reality; Ambient intelligence; Ubiquitous and mobile computing design and evaluation methods; Contextual design; • Security and privacy → Mobile platform security; Distributed systems security; Mobile and wireless security; Domain-specific security and privacy architectures; KEYWORDS Privacy; security; internet-of-things; architectural framework; ambient intelligence ACM Reference Format:

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Section: Discussionmentioning

confidence: 99%

Section: Octave-allegro Methodology For Corementioning

confidence: 99%

Deriving Privacy and Security Considerations for CORE

Morris

Lessio

2018

Proceedings of the 2nd International Workshop on Multimedia Privacy and Security

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“…A comprehensive study on the security of an IoT based smart home has been presented in [20], where the authors have identified various security risks from both internal and external sources. This work mainly focused on identification of risks and their impact pertaining to the smart home application.…”

Section: Security In Iotmentioning

confidence: 99%

Proof of Concept of Scalable Integration of Internet of Things and Blockchain in Healthcare

Satamraju

Malarkodi

2020

Sensors

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The advent of Internet of Things (IoT) brought innovation along with unprecedented benefits of convenience and efficacy in many operations that were otherwise very cumbersome. This innovation explosion has surfaced a new dimension of vulnerability and physical threat to the data integrity of IoT networks. Implementing conventional cryptographic algorithms on IoT devices is not future-proof as these devices are constrained in terms of computational power, performance, and memory. In this paper, we are proposing a novel framework, a unique model that integrates IoT networks with a blockchain to address potential privacy and security threats for data integrity. Smart contracts are instrumental in this integration process and they are used to handle device authentication, authorization and access-control, and data management. We further share a new design model for interfaces to integrate both platforms while highlighting its performance results over the existing models. With the incorporation of off-chain data storage into the framework, overall scalability of the system can be increased. Finally, our research concludes how the proposed framework can be fused virtually into any existing IoT applications with minimal modifications.

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“…Confidentiality, integrity, and availability are three important security concepts of applications and services in IoT-based smart environments; thus, to address these concerns, information security in IoT systems requires greater research focus [2]. For example, IoT-based smart homes face security and privacy challenges that span all layers of the IoT architecture [31].…”

Section: Security Challenges In Iot-based Smart Environmentsmentioning

confidence: 99%

Intrusion detection systems for IoT-based smart environments: a survey

Elrawy¹,

2018

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One of the goals of smart environments is to improve the quality of human life in terms of comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a technology for building smart environments. Security and privacy are considered key issues in any real-world smart environment based on the IoT model. The security vulnerabilities in IoT-based systems create security threats that affect smart environment applications. Thus, there is a crucial need for intrusion detection systems (IDSs) designed for IoT environments to mitigate IoT-related security attacks that exploit some of these security vulnerabilities. Due to the limited computing and storage capabilities of IoT devices and the specific protocols used, conventional IDSs may not be an option for IoT environments. This article presents a comprehensive survey of the latest IDSs designed for the IoT model, with a focus on the corresponding methods, features, and mechanisms. This article also provides deep insight into the IoT architecture, emerging security vulnerabilities, and their relation to the layers of the IoT architecture. This work demonstrates that despite previous studies regarding the design and implementation of IDSs for the IoT paradigm, developing efficient, reliable and robust IDSs for IoT-based smart environments is still a crucial task. Key considerations for the development of such IDSs are introduced as a future outlook at the end of this survey.

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Cyber and Physical Security Vulnerability Assessment for IoT-Based Smart Homes

Cited by 256 publications

References 53 publications

Deriving Privacy and Security Considerations for CORE

Deriving Privacy and Security Considerations for CORE

Proof of Concept of Scalable Integration of Internet of Things and Blockchain in Healthcare

Intrusion detection systems for IoT-based smart environments: a survey

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