A New Characterization of Hardware Trojans

Moein, Samer; Gulliver, T. Aaron; Gebali, Fayez; Alkandari, Abdulrahman

doi:10.1109/access.2016.2575039

Cited by 26 publications

(9 citation statements)

References 12 publications

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“…Thus, security is not the most important factor for such low-priced devices. This results in the introduction to the market of less secure products, or their alternatives, due to the need for low cost [19,20].…”

Section: Related Workmentioning

confidence: 99%

Smart Devices Security Enhancement via Power Supply Monitoring

et al. 2020

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The continuous growth of the number of Internet of Things (IoT) devices and their inclusion to public and private infrastructures has introduced new applciations to the market and our day-to-day life. At the same time, these devices create a potential threat to personal and public security. This may be easily understood either due to the sensitivity of the collected data, or by our dependability to the devices’ operation. Considering that most IoT devices are of low cost and are used for various tasks, such as monitoring people or controlling indoor environmental conditions, the security factor should be enhanced. This paper presents the exploitation of side-channel attack technique for protecting low-cost smart devices in an intuitive way. The work aims to extend the dataset provided to an Intrusion Detection Systems (IDS) in order to achieve a higher accuracy in anomaly detection. Thus, along with typical data provided to an IDS, such as network traffic, transmitted packets, CPU usage, etc., it is proposed to include information regarding the device’s physical state and behaviour such as its power consumption, the supply current, the emitted heat, etc. Awareness of the typical operation of a smart device in terms of operation and functionality may prove valuable, since any deviation may warn of an operational or functional anomaly. In this paper, the deviation (either increase or decrease) of the supply current is exploited for this reason. This work aimed to affect the intrusion detection process of IoT and proposes for consideration new inputs of interest with a collateral interest of study. In parallel, malfunction of the device is also detected, extending this work’s application to issues of reliability and maintainability. The results present 100% attack detection and this is the first time that a low-cost security solution suitable for every type of target devices is presented.

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Section: Related Workmentioning

confidence: 99%

Smart Devices Security Enhancement via Power Supply Monitoring

et al. 2020

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“…A classification of attributes based on this model is illustrated in Figure 2. The relationships between these attributes were presented in [21] and used to identify the attributes that can be detected using a given technique. For example, a technique that can detect a sequential trojan circuit can also detect a combinational trojan circuit, or a technique that can detect a small trojan can also detect a large trojan.…”

Section: Hardware Trojans and Their Detectionmentioning

confidence: 99%

“…These attributes provide a complete characterization of trojans. In [21], the relationships between the attributes were studied and used to describe the trojan life cycle from the insertion phase to the location phase. Assigning weights to these attributes was also considered.…”

Section: Hardware Trojan Attributesmentioning

confidence: 99%

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Hardware Trojan Identification and Detection

Moein¹,

Gebali²,

Gulliver³

et al. 2017

IJCIS

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“…Also, a significant power consumption in L2 caches is caused by the fact that the L2 cache needs a high associativity to reduce the conflict misses, making large energy to be spent on tag comparisons and because the cache coherence for CMPs increases the power consumption in tag comparison. Elsewhere, the recent advancements in video streaming, image processing and high speed wireless communication have immensely affected the way the cache is being designed [50,68]. The technological advancements place demands for high performance and low energy consumption in embedded systems.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Emerging Architectural Techniques for Improving Cache Energy Consumption

Bhebhe

Agyeman

2016

CAE

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Abstract-The search goes on for another ground breaking phenomenon to reduce the ever-increasing disparity between the CPU performance and storage. There are encouraging breakthroughs in enhancing CPU performance through fabrication technologies and changes in chip designs but not as much luck has been struck with regards to the computer storage resulting in material negative system performance. A lot of research effort has been put on finding techniques that can improve the energy efficiency of cache architectures. This work is a survey of energy saving techniques which are grouped on whether they save the dynamic energy, leakage energy or both. Needless to mention, the aim of this work is to compile a quick reference guide of energy saving techniques from 2013 to 2016 for engineers, researchers and students.

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A New Characterization of Hardware Trojans

Cited by 26 publications

References 12 publications

Smart Devices Security Enhancement via Power Supply Monitoring

Smart Devices Security Enhancement via Power Supply Monitoring

Hardware Trojan Identification and Detection

A Survey of Emerging Architectural Techniques for Improving Cache Energy Consumption

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