Power Side Channels in Security ICs: Hardware Countermeasures

Power side-channel attacks are a very effective cryptanalysis technique that can infer secret keys of security ICs by monitoring the power consumption. Since the emergence of practical attacks in the late 90s, they have been a major threat to many cryptographic-equipped devices including smart cards, encrypted FPGA designs, and mobile phones. Designers and manufacturers of cryptographic devices have in response developed various countermeasures for protection. Attacking methods have also evolved to counteract resistant implementations. This paper reviews foundational power analysis attack techniques and examines a variety of hardware design mitigations. The aim is to highlight exposed vulnerabilities in hardware-based countermeasures for future more secure implementations

A new countermeasure against side-channel attacks based on hardware-software co-design

This paper aims at presenting a new countermeasure against Side-Channel Analysis (SCA) attacks, whose implementation is based on a hardware-software co-design. The hardware architecture consists of a microprocessor, which executes the algorithm using a false key, and a coprocessor that performs several operations that are necessary to retrieve the original text that was encrypted with the real key. The coprocessor hardly affects the power consumption of the device, so that any classical attack based on such power consumption would reveal a false key. Additionally, as the operations carried out by the coprocessor are performed in parallel with the microprocessor, the execution time devoted for encrypting a specific text is not affected by the proposed countermeasure. In order to verify the correctness of our proposal, the system was implemented on a Virtex 5 FPGA. Different SCA attacks were performed on several functions of AES algorithm. Experimental results show in all cases that the system is effectively protected by revealing a false encryption key.Peer ReviewedPreprin

Countermeasure implementation and effectiveness analysis for AES resistance against side channel attacks

Side Channel Analysis (SCA) is composed of a bunch of techniques employed to extract secret information from hardware operations through statistical analyses of execution data. For instance, the secret key of a crypto-algorithmic implementation could be targeted and its value could be retrieved. The data is obtained by measuring the power consumption or electromagnetic radiation of a device while performing an operation due to the linear relationship between the currents flowing through the circuitry during the execution of chip operations. Side channel is one of the most widely used attack methods in cryptanalysis. In order to avoid such attacks, the algorithmic implementations can be protected from side channel leakage with the use of different countermeasures. These countermeasures can be built on either software or hardware. The objective is to reduce, or even completely eliminate, the leakage of the device related to confidential data. Generally speaking, there are two main approaches to do so. The first aims to reduce the side channel observability, while the second intends to undermine the predictability of the data. This project focuses on designing and implementing different countermeasures that protect cryptographic implementations from side channel attacks, and test and analyze them afterwards. The countermeasures will be implemented in software and then tested though Correlation Power Analysis in a hardware device. The Advanced Encryption Standard (AES) algorithm will be used as a base structure, in order to improve its cryptographic security with the different countermeasures designed. However, the election of AES does not reduce the scope of this project since the implemented countermeasures could be applied to other cryptographic algorithms as well

XDIVINSA: eXtended DIVersifying INStruction Agent to Mitigate Power Side-Channel Leakage

Side-channel analysis (SCA) attacks pose a major threat to embedded systems due to their ease of accessibility. Realising SCA resilient cryptographic algorithms on embedded systems under tight intrinsic constraints, such as low area cost, limited computational ability, etc., is extremely challenging and often not possible. We propose a seamless and effective approach to realise a generic countermeasure against SCA attacks. XDIVINSA, an extended diversifying instruction agent, is introduced to realise the countermeasure at the microarchitecture level based on the combining concept of diversified instruction set extension (ISE) and hardware diversification. XDIVINSA is developed as a lightweight co-processor that is tightly coupled with a RISC-V processor. The proposed method can be applied to various algorithms without the need for software developers to undertake substantial design efforts hardening their implementations against SCA. XDIVINSA has been implemented on the SASEBO G-III board which hosts a Kintex-7 XC7K160T FPGA device for SCA mitigation evaluation. Experimental results based on non-specific t-statistic tests show that our solution can achieve leakage mitigation on the power side channel of different cryptographic kernels, i.e., Speck, ChaCha20, AES, and RSA with an acceptable performance overhead compared to existing countermeasures.This work has been supported in part by EPSRC via grant EP/R012288/1, under the RISE (http://www.ukrise.org) programme.Peer ReviewedPostprint (author's final draft

Circuit-Variant Moving Target Defense for Side-Channel Attacks on Reconfigurable Hardware

With the emergence of side-channel analysis (SCA) attacks, bits of a secret key may be derived by correlating key values with physical properties of cryptographic process execution. Power and Electromagnetic (EM) analysis attacks are based on the principle that current flow within a cryptographic device is key-dependent and therefore, the resulting power consumption and EM emanations during encryption and/or decryption can be correlated to secret key values. These side-channel attacks require several measurements of the target process in order to amplify the signal of interest, filter out noise, and derive the secret key through statistical analysis methods. Differential power and EM analysis attacks rely on correlating actual side-channel measurements to hypothetical models. This research proposes increasing resistance to differential power and EM analysis attacks through structural and spatial randomization of an implementation. By introducing randomly located circuit variants of encryption components, the proposed moving target defense aims to disrupt side-channel collection and correlation needed to successfully implement an attac

Research on performance enhancement for electromagnetic analysis and power analysis in cryptographic LSI

制度:新 ; 報告番号:甲3785号 ; 学位の種類:博士(工学) ; 授与年月日:2012/11/19 ; 早大学位記番号:新6161Waseda Universit