A Comprehensive Study of Security of Internet-of-Things

Mosenia, Arsalan; Jha, Niraj K.

doi:10.1109/tetc.2016.2606384

Cited by 580 publications

(362 citation statements)

References 103 publications

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“…Level 1 Physical Devices and Controllers -This layer contains the things in the IoT. This includes a wide range of endpoint devices which can send or receive information (e.g., sensors and radio-frequency identification (RFID) readers) [5].…”

Section: Iot Architecturementioning

confidence: 99%

“…Level 5 Data Abstraction -This level allows data to be stored in a more efficient way to improve performance of the higher levels. Some of the operations are normalisation, indexing, formatting, validation, consolidation of data and providing access to multiple data stores [5].…”

Section: Iot Architecturementioning

confidence: 99%

“…A similar implemented attack is the packet flooding. This attack occurs when a malicious node rapidly sends packets to other nodes in the network forcing them to run their checking mechanisms [5]. As a result, the energy of the nodes is exhausted.…”

Section: Implementing Dos Attacks In Coojamentioning

confidence: 99%

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Battery draining attacks against edge computing nodes in IoT networks

Smith

Palin

Ioulianou

et al. 2020

Cyber-Physical Systems

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Many IoT devices, especially those deployed at the network edge have limited power resources. A number of attacks aim to exhaust these resources and drain the batteries of such edge nodes. In this work, we study the effects of a variety of battery draining attacks against edge nodes. Through simulation, we clarify the extent to which such attacks are able to increase the usage and hence waste the power resources of edge nodes. Specifically, we implement hello flooding, packet flooding, selective forwarding, rank attack, and versioning attack in ContikiOS and simulate them in the Cooja simulator, and measure and report a number of time and power resource usage metrics including CPU time, low power mode time, TX/RX time, and battery consumption. Besides, we test the stretch attack with three different batteries as an extreme scenario. Our extensive measurements enable us to compare the effectiveness of these attacks. Our results show that Versioning attack is the most severe attack in terms of draining the power resources of the network, followed by Packet Flooding and Hello Flood attacks. Furthermore, we confirm that Selective Forwarding and Rank attacks are not able to considerably increase the power resource usage in our scenarios. By quantifying the effects of these attacks, we demonstrate that under specific scenarios, Versioning attack can be three to four times as effective as Packet Flooding and Hello Flood attacks in wasting network resources, while Packet Flooding is generally comparable to Hello Flood in CPU and TX time usage increase but twice as powerful in draining device batteries.

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Section: Iot Architecturementioning

confidence: 99%

Section: Iot Architecturementioning

confidence: 99%

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Battery draining attacks against edge computing nodes in IoT networks

Smith

Palin

Ioulianou

et al. 2020

Cyber-Physical Systems

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“…In recent years, lots of works [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14] have been proposed to the reliability, flexibility, survivability, and security of wireless networks. To better understand IoV, many researchers have Fig.…”

Section: Introductionmentioning

confidence: 99%

MDBV: Monitoring Data Batch Verification for Survivability of Internet of Vehicles

Liu

Cao

et al. 2018

IEEE Access

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Along with the development of vehicular sensors and wireless communication technology, Internet of Vehicles (IoV) is emerging that can improve traffic efficiency and provide a comfortable driving environment. However, there is still a challenge how to ensure the survivability of IoV. Fortunately, this goal can be achieved by quickly verifying real-time monitoring data to avoid network failure. Aggregate signature is an efficient approach to realize quick data verification quickly. In this paper, we propose a monitoring data batch verification scheme based on an improved certificateless aggregate signature for IoV, named MDBV. The size of aggregated verification message is remain roughly constant even as the increasing number of vehicles in MDBV. Additionally, MDBV is proved to be secure in the random oracle model assuming the intractability of the computational Diffie-Hellman problem. In consideration of the network survivability and performance, the proposed MDBV can decrease the computation overhead and is more suitable for IoV.

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“…The rapid growth of communication technology, network technology and increasing number of smart devices makes IoT very relevant for research exploration. Conversely the existing literature survey notices that IoT platform still suffers from privacy and security vulnerabilities [1]. The centralized architecture and less resource availability in most of the IoT devices have made the conventional security and privacy preservation approaches inappropriate for IoT platforms [2], [3] [4].…”

Section: Introductionmentioning

confidence: 99%

IoT Based Secure Smart City Architecture Using Blockchain

Paul

Baidya

et al. 2018

2018 2nd International Conference on Data Science and Business Analytics (ICDSBA)

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Standard security protocols like SSL, TLS, IPSec etc. have high memory and processor consumption which makes all these security protocols unsuitable for resource constrained platforms such as Internet of Things (IoT). Blockchain (BC) finds its efficient application in IoT platform to preserve the five basic cryptographic primitives, such as confidentiality, authenticity, integrity, availability and non-repudiation. Conventional adoption of BC in IoT platform causes high energy consumption, delay and computational overhead which are not appropriate for various resource constrained IoT devices. This work proposes a machine learning (ML) based smart access control framework in a public and a private BC for a smart city application which makes it more efficient as compared to the existing IoT applications. The proposed IoT based smart city architecture adopts BC technology for preserving all the cryptographic security and privacy issues. Moreover, BC has very minimal overhead on IoT platform as well. This work investigates the existing threat models and critical access control issues which handle multiple permissions of various nodes and detects relevant inconsistencies to notify the corresponding nodes. Comparison in terms of all security issues with existing literature shows that the proposed architecture is competitively efficient in terms of security access control.

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A Comprehensive Study of Security of Internet-of-Things

Cited by 580 publications

References 103 publications

Battery draining attacks against edge computing nodes in IoT networks

Battery draining attacks against edge computing nodes in IoT networks

MDBV: Monitoring Data Batch Verification for Survivability of Internet of Vehicles

IoT Based Secure Smart City Architecture Using Blockchain

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