Homomorphic Data Isolation for Hardware Trojan Protection

The interest in homomorphic encryption/decryption is increasing due to its excellent security properties and operating facilities. It allows operating on data without revealing its content. In this work, we suggest using homomorphism for Hardware Trojan protection. We implement two partial homomorphic designs based on ElGamal encryption/decryption scheme. The first design is a multiplicative homomorphic, whereas the second one is an additive homomorphic. We implement the proposed designs on a low-cost Xilinx Spartan-6 FPGA. Area utilization, delay, and power consumption are reported for both designs. Furthermore, we introduce a dual-circuit design that combines the two earlier designs using resource sharing in order to have minimum area cost. Experimental results show that our dual-circuit design saves 35% of the logic resources compared to a regular design without resource sharing. The saving in power consumption is 20%, whereas the number of cycles needed remains almost the sam

Electromagnetic Transmission of Intellectual Property Data to Protect FPGA Designs

International audienceOver the past 10 years, the designers of intellectual properties(IP) have faced increasing threats including cloning, counterfeiting, andreverse-engineering. This is now a critical issue for the microelectronicsindustry. The design of a secure, efficient, lightweight protection scheme fordesign data is a serious challenge for the hardware security community. In thiscontext, this chapter presents two ultra-lightweight transmitters using sidechannel leakage based on electromagnetic emanation to send embedded IPidentity discreetly and quickl

A Survey of hardware protection of design data for integrated circuits and intellectual properties

International audienceThis paper reviews the current situation regarding design protection in the microelectronics industry. Over the past ten years, the designers of integrated circuits and intellectual properties have faced increasing threats including counterfeiting, reverse-engineering and theft. This is now a critical issue for the microelectronics industry, mainly for fabless designers and intellectual properties designers. Coupled with increasing pressure to decrease the cost and increase the performance of integrated circuits, the design of a secure, efficient, lightweight protection scheme for design data is a serious challenge for the hardware security community. However, several published works propose different ways to protect design data including functional locking, hardware obfuscation, and IC/IP identification. This paper presents a survey of academic research on the protection of design data. It concludes with the need to design an efficient protection scheme based on several properties

Thoroughly analyzing the use of ring oscillators for on-chip hardware trojan detection

International audienceWith the globalization of the IC design flow, structural integrity verification to detect parasitic electrical activities has emerged as an important research domain for testing the genuineness of an Integrated Circuit (IC). Sensors like Ring Oscil-lators (RO) have been proposed to precisely monitor the internal behaviour of the ICs. In this paper we propose an experimental analysis of the impact of parasitic electrical activities on the frequencies of ROs and on the internal supply voltages measured. Our observations lead us to identify the limits of the usability of ROs for practical and embedded detection of Hardware Trojans

An Improved Public Unclonable Function Design for Xilinx FPGAs for Hardware Security Applications

In the modern era we are moving towards completely connecting many useful electronic devices to each other through internet. There is a great need for secure electronic devices and systems. A lot of money is being invested in protecting the electronic devices and systems from hacking and other forms of malicious attacks. Physical Unclonable Function (PUF) is a low-cost hardware scheme that provides affordable security for electronic devices and systems. This thesis proposes an improved PUF design for Xilinx FPGAs and evaluates and compares its performance and reliability compared to existing PUF designs. Furthermore, the utility of the proposed PUF was demonstrated by using it for hardware Intellectual Property (IP) core licensing and authentication. Hardware Trojan can be used to provide evaluation copy of IP cores for a limited time. After that it disables the functionality of the IP core. A finite state machine (FSM) based hardware trojan was integrated with a binary divider IP core and evaluated for licensing and authentication applications. The proposed PUF was used in the design of hardware trojan. Obfuscation metric measures the effectiveness of hardware trojan. A moderately good obfuscation level was achieved for our hardware trojan

Trusted IP solution in multi-tenant cloud FPGA platform

Because FPGAs outperform traditional processing cores like CPUs and GPUs in terms of performance per watt and flexibility, they are being used more and more in cloud and data center applications. There are growing worries about the security risks posed by multi-tenant sharing as the demand for hardware acceleration increases and gradually gives way to FPGA multi-tenancy in the cloud. The confidentiality, integrity, and availability of FPGA-accelerated applications may be compromised if space-shared FPGAs are made available to many cloud tenants. We propose a root of trust-based trusted execution mechanism called \textbf{TrustToken} to prevent harmful software-level attackers from getting unauthorized access and jeopardizing security. With safe key creation and truly random sources, \textbf{TrustToken} creates a security block that serves as the foundation of trust-based IP security. By offering crucial security characteristics, such as secure, isolated execution and trusted user interaction, \textbf{TrustToken} only permits trustworthy connection between the non-trusted third-party IP and the rest of the SoC environment. The suggested approach does this by connecting the third-party IP interface to the \textbf{TrustToken} Controller and running run-time checks on the correctness of the IP authorization(Token) signals. With an emphasis on software-based assaults targeting unauthorized access and information leakage, we offer a noble hardware/software architecture for trusted execution in FPGA-accelerated clouds and data centers

Multi-Tenant Cloud FPGA: A Survey on Security

With the exponentially increasing demand for performance and scalability in cloud applications and systems, data center architectures evolved to integrate heterogeneous computing fabrics that leverage CPUs, GPUs, and FPGAs. FPGAs differ from traditional processing platforms such as CPUs and GPUs in that they are reconfigurable at run-time, providing increased and customized performance, flexibility, and acceleration. FPGAs can perform large-scale search optimization, acceleration, and signal processing tasks compared with power, latency, and processing speed. Many public cloud provider giants, including Amazon, Huawei, Microsoft, Alibaba, etc., have already started integrating FPGA-based cloud acceleration services. While FPGAs in cloud applications enable customized acceleration with low power consumption, it also incurs new security challenges that still need to be reviewed. Allowing cloud users to reconfigure the hardware design after deployment could open the backdoors for malicious attackers, potentially putting the cloud platform at risk. Considering security risks, public cloud providers still don't offer multi-tenant FPGA services. This paper analyzes the security concerns of multi-tenant cloud FPGAs, gives a thorough description of the security problems associated with them, and discusses upcoming future challenges in this field of study