On the effects of ring oscillator length and hardware Trojan size on an FPGA-based implementation of AES

Pirpilidis, Filippos; Stefanidis, Kyriakos; Voyiatzis, Artemios G.; Kitsos, Paris

doi:10.1016/j.micpro.2017.09.001

Cited by 8 publications

(7 citation statements)

References 3 publications

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“…The effects of HTH attacks on various platforms have been widely explored. Hardware Trojan insertions range from cryptographic hardware [42,43] to remote dynamic configurations on reconfigurable IoT platforms [44,45]. We assume that a high-frequency clock signal is used to drive the Trojan detection unit, which can be generated by using dedicated clock generators such as the Mixed-Mode Clock Manager (MMCM) module [46].…”

Section: Hardware Trojan Detectionmentioning

confidence: 99%

Bio-Inspired Approaches to Safety and Security in IoT-Enabled Cyber-Physical Systems

Johnson

Al-Aqrabi

Hill

2020

Sensors

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Internet of Things (IoT) and Cyber-Physical Systems (CPS) have profoundly influenced the way individuals and enterprises interact with the world. Although attacks on IoT devices are becoming more commonplace, security metrics often focus on software, network, and cloud security. For CPS systems employed in IoT applications, the implementation of hardware security is crucial. The identity of electronic circuits measured in terms of device parameters serves as a fingerprint. Estimating the parameters of this fingerprint assists the identification and prevention of Trojan attacks in a CPS. We demonstrate a bio-inspired approach for hardware Trojan detection using unsupervised learning methods. The bio-inspired principles of pattern identification use a Spiking Neural Network (SNN), and glial cells form the basis of this work. When hardware device parameters are in an acceptable range, the design produces a stable firing pattern. When unbalanced, the firing rate reduces to zero, indicating the presence of a Trojan. This network is tunable to accommodate natural variations in device parameters and to avoid false triggering of Trojan alerts. The tolerance is tuned using bio-inspired principles for various security requirements, such as forming high-alert systems for safety-critical missions. The Trojan detection circuit is resilient to a range of faults and attacks, both intentional and unintentional. Also, we devise a design-for-trust architecture by developing a bio-inspired device-locking mechanism. The proposed architecture is implemented on a Xilinx Artix-7 Field Programmable Gate Array (FPGA) device. Results demonstrate the suitability of the proposal for resource-constrained environments with minimal hardware and power dissipation profiles. The design is tested with a wide range of device parameters to demonstrate the effectiveness of Trojan detection. This work serves as a new approach to enable secure CPSs and to employ bio-inspired unsupervised machine intelligence.

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Section: Hardware Trojan Detectionmentioning

confidence: 99%

Bio-Inspired Approaches to Safety and Security in IoT-Enabled Cyber-Physical Systems

Johnson

Al-Aqrabi

Hill

2020

Sensors

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“…The insert location in the last three rounds are after SUBBYTES operation. SUBBYTES are used as one of the submodules in AES [22]. Because the structure of last three rounds are almost same, except the tenth round has no MixColumn operation, we only give the eighth round structure in the Fig.…”

Section: Implementation On Fpgamentioning

confidence: 99%

“…Compared with normal ring oscillator detection method [22], our detection method do not need any "golden" chip. Because detection circuit in [22] only based on inverter or NAND gate, the distance between HT and detection circuit impact the performance. But ours directly insert in the cipher circuit, as long as the FAHT inject it will impact the frequency.…”

Section: Comparison and Analysismentioning

confidence: 99%

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Fault attack hardware Trojan detection method based on ring oscillator

Fang

et al. 2019

IEICE Electron. Express

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Recently proposed common hardware Trojan detection methods can detect wide range of Trojan types, however, there is no explicit detection method for specific Trojan types. These types of Trojan lead to low detection efficiency due to variety of categories and complex features. Keeping in view the special characteristics of Fault Attack Hardware Trojan (FAHT), a method for detection of FAHT is proposed in this letter. Proposed methodology uses ring Oscillator detection circuit that can detect extra logic gate on original cipher circuit where each byte is not required to be injected into the circuit. The experiments show that when the Trojan circuit of area 0.0495% is implanted into the original AES circuit, the detection method in this paper can detect them successfully. In addition, the proposed detection approach has high flexibility to implement in other cipher circuit.

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“…Some articles designed or considered some potential HTs from the attacker’s point of view and put forward solutions to these HTs [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ]. Some researchers applied HTs to the real environment and designed a scheme to defend it [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 ]. Individual scholars proposed methods to reduce the effect of the HTs [ 44 , 45 ].…”

Section: Introductionmentioning

confidence: 99%

Hardware Trojans in Chips: A Survey for Detection and Prevention

Dong

Liu

et al. 2020

Sensors

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Diverse and wide-range applications of integrated circuits (ICs) and the development of Cyber Physical System (CPS), more and more third-party manufacturers are involved in the manufacturing of ICs. Unfortunately, like software, hardware can also be subjected to malicious attacks. Untrusted outsourced manufacturing tools and intellectual property (IP) cores may bring enormous risks from highly integrated. Attributed to this manufacturing model, the malicious circuits (known as Hardware Trojans, HTs) can be implanted during the most designing and manufacturing stages of the ICs, causing a change of functionality, leakage of information, even a denial of services (DoS), and so on. In this paper, a survey of HTs is presented, which shows the threatens of chips, and the state-of-the-art preventing and detecting techniques. Starting from the introduction of HT structures, the recent researches in the academic community about HTs is compiled and comprehensive classification of HTs is proposed. The state-of-the-art HT protection techniques with their advantages and disadvantages are further analyzed. Finally, the development trends in hardware security are highlighted.

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On the effects of ring oscillator length and hardware Trojan size on an FPGA-based implementation of AES

Cited by 8 publications

References 3 publications

Bio-Inspired Approaches to Safety and Security in IoT-Enabled Cyber-Physical Systems

Bio-Inspired Approaches to Safety and Security in IoT-Enabled Cyber-Physical Systems

Fault attack hardware Trojan detection method based on ring oscillator

Hardware Trojans in Chips: A Survey for Detection and Prevention

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