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During the last years, more and more security applications have been developed that are based on passive 13.56 MHz RFID devices. Among the most prominent applications are electronic passports and contactless payment systems. This article discusses the effectiveness of power and EM attacks on this kind of devices. It provides an overview of different(More)
This paper presents new speed records for multiprecision multiplication on the AVR ATmega family of 8-bit microcontrollers. For example, our software takes only 1,969 cycles for the multiplication of two 160-bit integers; this is more than 15 % faster than that demonstrated in previous work. For 256-bit inputs, our software is not only the first to break(More)
The Elliptic Curve Digital Signature Algorithm (ECDSA) and the Advanced Encryption Standard (AES) are two of the most popular cryptographic algorithms used worldwide. In this paper, we present a hardware implementation of a low-resource cryptographic processor that provides both digital signature generation using ECDSA and en-cryption/decryption services(More)
In this paper, we present practical results of data leakages of CMOS devices via the temperature side channel—a side channel that has been widely cited in literature but not well characterized yet. We investigate the leakage of processed data by passively measuring the dissipated heat of the devices. The temperature leakage is thereby linearly correlated(More)
In the era of the Internet of Things, smart electronic devices facilitate processes in our everyday lives. Texas Instrument's MSP430 microcontrollers target low-power applications, among which are wireless sensor, metering and medical applications. Those domains have in common that sensitive data is processed, which calls for strong security primitives to(More)
Multi-precision multiplication is one of the most fundamental operations on microprocessors to allow public-key cryptography such as RSA and Elliptic Curve Cryptography (ECC). In this paper, we present a novel multiplication technique that increases the performance of multiplication by sophisticated caching of operands. Our method significantly reduces the(More)