A mutual auditing framework to protect IoT against hardware Trojans

Liu, Chen; Cronin, Patrick; Yang, Chengmo

doi:10.1109/aspdac.2016.7427991

Cited by 31 publications

(14 citation statements)

References 22 publications

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“…A combination of attacks, denial-of-service attack and covert channel attack, have been addressed in [8] and [9]. In [8], Dofe et al introduce a dynamic permutation method to address both hardware Trojan and side-channel analysis attacks.…”

Section: Related Workmentioning

confidence: 99%

“…They do not need network-level protection or run-time detection. Liu et al in [9] introduced a framework to monitor data communications in the IoT-EDs. They utilize different vendors for IoT-EDs to build a distributed framework where each IoT-ED monitors the trustworthiness of their neighbors.…”

Section: Related Workmentioning

confidence: 99%

“…Internet of Things (IoT) is fundamentally a collection of smart devices inserted with remote correspondence capacity of wireless connection [9], [17]. They are utilized as a part of different applications in everyday life.…”

Section: Introductionmentioning

confidence: 99%

“…To fill the gap of HT-based attacks detection and overcome the unique characterization of HT-based attacks on IoT-based networks, researchers secure the IoT edge device (IoT-ED) through the utilization of design time intervention techniques. In these techniques, they protect the IC chips from HT-based attacks by modifying the layout at design time, which protects the IC chip from HT-based attacks but not the whole IoT device [8], [9], [14]. In some other works, researchers utilized a network protocol level detection mechanism to secure the network without taking hardware problem into perspective [19], [20].…”

Section: Introductionmentioning

confidence: 99%

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Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

2020

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Internet of Things (IoT) devices have connected millions of houses around the globe via the internet. In the recent past, threats due to hardware Trojan (HT) in the integrated circuits (IC) have become a serious concern, which affects IoT edge devices (IoT-ED). In this paper, the possibility of the IoT-ED with embedded HT that can cause serious security, privacy, and availability problems to the IoT based Home Area Network (HAN) has been discussed. Conventional network attack detection techniques work at the network protocol layers, whereas IoT-ED with HT can lead to the peculiar manifestation of attack at the physical and/or firmware level. On the other hand, in the IC design, most of the HT-based attack detection techniques require design time intervention, which is expensive for many of the IoT-ED and cannot guarantee 100% immunity. The argument in this paper is that the health of modern IoT-ED requires a final line of defense against possible HT-based attacks that goes undetected during IC design and test. The approach is to utilize power profiling (PP) and network traffic (NT) data without intervening into the IC design to detect malicious activity in HAN. The proposed technique is to effectively identify multiple attacks concurrently and to differentiate between different types of attacks. The IoT-ED behaviors for five different types of random attacks have been studied, including covert channel, DoS, ARQ, power depletion, and impersonation attacks. Data fusion has been leveraged by combining the PP and NT data and is able to detect, without design time intervention, each of the five attacks individually with up to 99% accuracy. Moreover, the proposed technique can also detect all the attacks concurrently with 92% accuracy. To the best of authors' knowledge, this is the first work where multiple HT based attacks are concurrently detected in IoT-ED without requiring any design time intervention. INDEX TERMS Internet of Things, hardware security, home area network, hardware Trojan, machine learning, power profile, ARQ attack, DoS attack.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

2020

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“…Some of these interruptions have been investigated, such as trojans in IoT [22] and various viruses (Stuxnet [23]). …”

Section: Service Interruptionmentioning

confidence: 99%

A Survey of Security Challenges in Internet of Things

Sedrati¹,

Mezrioui²

2018

Adv. sci. technol. eng. syst. j.

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A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

Atharvan

Krishnamoorthy

Dua

et al. 2021

Int J Communication

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Summary The evolution of Internet of Things (IoT) has led to the development of Industrial Internet of Things (IIoT). IIoT is one the widely applied areas to facilitate people in the manufacturing world. The adoption of IIoT automates sensing, capturing, communicating, and processing in real time. To understand how rapidly IoT and IIoT are growing, this article examines the emergence of 5G‐enabled IIoT, current research trends in IIoT, key milestones achieved in IIoT, and IoT applications specific to 5G‐enabled IIoT. The paper presents the state‐of‐the‐art in networking layered framework of IIoT and comparing relationships of technologies of cloud computing as well as edge computing paradigms. We also explored the type of security attacks and their preventive measures in an IIoT‐driven 5G technology. We have also highlighted the revolution of IIoT‐driven 5G framework which satisfies the demands of IIoT applications.

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A mutual auditing framework to protect IoT against hardware Trojans

Cited by 31 publications

References 22 publications

Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

A Survey of Security Challenges in Internet of Things

A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

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