A Guideline on Pseudorandom Number Generation (PRNG) in the IoT

Random numbers are an essential input to many functions on the Internet of Things (IoT). Common use cases of randomness range from low-level packet transmission to advanced algorithms of artificial intelligence as well as security and trust, which heavily rely on unpredictable random sources. In the constrained IoT, though, unpredictable random sources are a challenging desire due to limited resources, deterministic real-time operations, and frequent lack of a user interface. In this paper, we revisit the generation of randomness from the perspective of an IoT operating system (OS) that needs to support general purpose or crypto-secure random numbers. We analyse the potential attack surface, derive common requirements, and discuss the potentials and shortcomings of current IoT OSs. A systematic evaluation of current IoT hardware components and popular software generators based on well-established test suits and on experiments for measuring performance give rise to a set of clear recommendations on how to build such a random subsystem and which generators to use.Comment: 43 pages, 11 figures, 11 table

Performance Anomalies in Concurrent Data Structure Microbenchmarks

Recent decades have witnessed a surge in the development of concurrent data structures with an increasing interest in data structures implementing concurrent sets (CSets). Microbenchmarking tools are frequently utilized to evaluate and compare the performance differences across concurrent data structures. The underlying structure and design of the microbenchmarks themselves can play a hidden but influential role in performance results. However, the impact of microbenchmark design has not been well investigated. In this work, we illustrate instances where concurrent data structure performance results reported by a microbenchmark can vary 10-100x depending on the microbenchmark implementation details. We investigate factors leading to performance variance across three popular microbenchmarks and outline cases in which flawed microbenchmark design can lead to an inversion of performance results between two concurrent data structure implementations. We further derive a prescriptive approach for best practices in the design and utilization of concurrent data structure microbenchmarks

Performance Anomalies in Concurrent Data Structure Microbenchmarks

Recent decades have witnessed a surge in the development of concurrent data structures with an increasing interest in data structures implementing concurrent sets (CSets). Microbenchmarking tools are frequently utilized to evaluate and compare the performance differences across concurrent data structures. The underlying structure and design of the microbenchmarks themselves can play a hidden but influential role in performance results. However, the impact of microbenchmark design has not been well investigated. In this work, we illustrate instances where concurrent data structure performance results reported by a microbenchmark can vary 10-100x depending on the microbenchmark implementation details. We investigate factors leading to performance variance across three popular microbenchmarks and outline cases in which flawed microbenchmark design can lead to an inversion of performance results between two concurrent data structure implementations. We further derive a set of recommendations for best practices in the design and usage of concurrent data structure microbenchmarks and explore advanced features in the Setbench microbenchmark

Pseudo-Random Number Generators for Vector Processors and Multicore Processors

Large scale Monte Carlo applications need a good pseudo-random number generator capable of utilizing both the vector processing capabilities and multiprocessing capabilities of modern computers in order to get the maximum performance. The requirements for such a generator are discussed. New ways of avoiding overlapping subsequences by combining two generators are proposed. Some fundamental philosophical problems in proving independence of random streams are discussed. Remedies for hitherto ignored quantization errors are offered. An open source C++ implementation is provided for a generator that meets these needs

Hardware design of cryptographic algorithms for low-cost RFID tags

Mención Internacional en el título de doctorRadio Frequency Identification (RFID) is a wireless technology for automatic identification that has experienced a notable growth in the last years. RFID is an important part of the new trend named Internet of Things (IoT), which describes a near future where all the objects are connected to the Internet and can interact between them. The massive deployment of RFID technology depends on device costs and dependability. In order to make these systems dependable, security needs to be added to RFID implementations, as RF communications can be accessed by an attacker who could extract or manipulate private information from the objects. On the other hand, reduced costs usually imply resource-constrained environments. Due to these resource limitations necessary to low-cost implementations, typical cryptographic primitives cannot be used to secure low-cost RFID systems. A new concept emerged due to this necessity, Lightweight Cryptography. This term was used for the first time in 2003 by Vajda et al. and research on this topic has been done widely in the last decade. Several proposals oriented to low-cost RFID systems have been reported in the literature. Many of these proposals do not tackle in a realistic way the multiple restrictions required by the technology or the specifications imposed by the different standards that have arose for these technologies. The objective of this thesis is to contribute in the field of lightweight cryptography oriented to low-cost RFID tags from the microelectronics point of view. First, a study about the implementation of lightweight cryptographic primitives is presented . Specifically, the area used in the implementation, which is one of the most important requirements of the technology as it is directly related to the cost. After this analysis, a footprint area estimator of lightweight algorithms has been developed. This estimator calculates an upper-bound of the area used in the implementation. This estimator will help in making some choices at the algorithmic level, even for designers without hardware design skills. Second, two pseudo-random number generators have been proposed. Pseudorandom number generators are essential cryptographic blocks in RFID systems. According to the most extended RFID standard, EPC Class-1 Gen-2, it is mandatory to include a generator in RFID tags. Several architectures for the two proposed generators have been presented in this thesis and they have been integrated in two authentication protocols, and the main metrics (area, throughput and power consumption) have been analysed. Finally, the topic of True Random Number Generators is studied. These generators are also very important in secure RFID, and are currently a trending research line. A novel generator, presented by Cherkaoui et al., has been evaluated under different attack scenarios. A new true random number generator based on coherent sampling and suitable for low-cost RFID systems has been proposed.La tecnología de Identificación por Radio Frecuencia, más conocida por sus siglas en inglés RFID, se ha convertido en una de las tecnologías de autoidentificación más importantes dentro de la nueva corriente de identificación conocida como Internet de las Cosas (IoT). Esta nueva tendencia describe un futuro donde todos los objetos están conectados a internet y son capaces de identificarse ante otros objetos. La implantación masiva de los sistemas RFID está hoy en día limitada por el coste de los dispositivos y la fiabilidad. Para que este tipo de sistemas sea fiable, es necesario añadir seguridad a las implementaciones RFID, ya que las comunicaciones por radio frecuencia pueden ser fácilmente atacadas y la información sobre objetos comprometida. Por otro lado, para que todos los objetos estén conectados es necesario que el coste de la tecnología de identificación sea muy reducido, lo que significa una gran limitación de recursos en diferentes ámbitos. Dada la limitación de recursos necesaria en implementaciones de bajo coste, las primitivas criptográficas típicas no pueden ser usadas para dotar de seguridad a un sistema RFID de bajo coste. El concepto de primitiva criptográfica ligera fue introducido por primera vez 2003 por Vajda et al. y ha sido desarrollado ampliamente en los últimos años, dando como resultados una serie de algoritmos criptográficos ligeros adecuados para su uso en tecnología RFID de bajo coste. El principal problema de muchos de los algoritmos presentados es que no abordan de forma realista las múltiples limitaciones de la tecnología. El objetivo de esta tesis es el de contribuir en el campo de la criptografía ligera orientada a etiquetas RFID de bajo coste desde el punto de vista de la microelectrónica. En primer lugar se presenta un estudio de la implementación de las primitivas criptográficas ligeras más utilizadas, concretamente analizando el área ocupado por dichas primitivas, ya que es uno de los parámetros críticos considerados a la hora de incluir dichas primitivas criptográficas en los dispositivos RFID de bajo coste. Tras el análisis de estas primitivas se ha desarrollado un estimador de área para algoritmos criptográficos ultraligeros que trata de dar una cota superior del área total ocupada por el algoritmo (incluyendo registros y lógica de control). Este estimador permite al diseñador, en etapas tempranas del diseño y sin tener ningún conocimiento sobre implementaciones, saber si el algoritmo está dentro de los límites de área mpuestos por la tecnología RFID. También se proponen 2 generadores de números pseudo-aleatorios. Estos generadores son uno de los bloques criptográficos más importantes en un sistema RFID. El estándar RFID más extendido entre la industria, EPC Class-1 Gen-2, establece el uso obligatorio de dicho tipo de generadores en las etiquetas RFID. Los generadores propuestos han sido implementados e integrados en 2 protocolos de comunicación orientados a RFID, obteniendo buenos resultados en las principales características del sistema. Por último, se ha estudiado el tema de los generadores de números aleatorios. Este tipo de generadores son frecuentemente usados en seguridad RFID. Actualmente esta línea de investigación es muy popular. En esta tesis, se ha evaluado la seguridad de un novedoso TRNG, presentado por Cherkaoui et al., frente ataques típicos considerados en la literatura. Además, se ha presentado un nuevo TRNG de bajo coste basado en la técnica de muestreo por pares.Programa Oficial de Doctorado en Ingeniería Eléctrica, Electrónica y AutomáticaPresidente: Teresa Riesgo Alcaide.- Secretario: Emilio Olías Ruiz.- Vocal: Giorgio di Natal

Randomness Generation for Secure Hardware Masking - Unrolled Trivium to the Rescue

Masking is a prominent strategy to protect cryptographic implementations against side-channel analysis. Its popularity arises from the exponential security gains that can be achieved for (approximately) quadratic resource utilization. Many variants of the countermeasure tailored for different optimization goals have been proposed over the past decades. The common denominator among all of them is the implicit demand for robust and high entropy randomness. Simply assuming that uniformly distributed random bits are available, without taking the cost of their generation into account, leads to a poor understanding of the efficiency and performance of secure implementations. This is especially relevant in case of hardware masking schemes which are known to consume large amounts of random bits per cycle due to parallelism. Currently, there seems to be no consensus on how to most efficiently derive many pseudo-random bits per clock cycle from an initial seed and with properties suitable for masked hardware implementations. In this work, we evaluate a number of building blocks for this purpose and find that hardware-oriented stream ciphers like Trivium and its reduced-security variant Bivium B outperform all competitors when implemented in an unrolled fashion. Unrolled implementations of these primitives enable the flexible generation of many bits per cycle while maintaining high performance, which is crucial for satisfying the large randomness demands of state-of-the-art masking schemes. According to our analysis, only Linear Feedback Shift Registers (LFSRs), when also unrolled, are capable of producing long non-repetitive sequences of random-looking bits at a high rate per cycle even more efficiently than Trivium and Bivium B. Yet, these instances do not provide black-box security as they generate only linear outputs. We experimentally demonstrate that using multiple output bits from an LFSR in the same masked implementation can violate probing security and even lead to harmful randomness cancellations. Circumventing these problems, and enabling an independent analysis of randomness generation and masking scheme, requires the use of cryptographically stronger primitives like stream ciphers. As a result of our studies, we provide an evidence-based estimate for the cost of securely generating n fresh random bits per cycle. Depending on the desired level of black-box security and operating frequency, this cost can be as low as 20n to 30n ASIC gate equivalents (GE) or 3n to 4n FPGA look-up tables (LUTs), where n is the number of random bits required. Our results demonstrate that the cost per bit is (sometimes significantly) lower than estimated in previous works, incentivizing parallelism whenever exploitable and potentially moving low randomness usage in hardware masking research from a primary to secondary design goal