304 research outputs found

    Coupled FPGA/ASIC Implementation of Elliptic Curve Crypto-Processor

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    Multiple bit error correcting architectures over finite fields

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    This thesis proposes techniques to mitigate multiple bit errors in GF arithmetic circuits. As GF arithmetic circuits such as multipliers constitute the complex and important functional unit of a crypto-processor, making them fault tolerant will improve the reliability of circuits that are employed in safety applications and the errors may cause catastrophe if not mitigated. Firstly, a thorough literature review has been carried out. The merits of efficient schemes are carefully analyzed to study the space for improvement in error correction, area and power consumption. Proposed error correction schemes include bit parallel ones using optimized BCH codes that are useful in applications where power and area are not prime concerns. The scheme is also extended to dynamically correcting scheme to reduce decoder delay. Other method that suits low power and area applications such as RFIDs and smart cards using cross parity codes is also proposed. The experimental evaluation shows that the proposed techniques can mitigate single and multiple bit errors with wider error coverage compared to existing methods with lesser area and power consumption. The proposed scheme is used to mask the errors appearing at the output of the circuit irrespective of their cause. This thesis also investigates the error mitigation schemes in emerging technologies (QCA, CNTFET) to compare area, power and delay with existing CMOS equivalent. Though the proposed novel multiple error correcting techniques can not ensure 100% error mitigation, inclusion of these techniques to actual design can improve the reliability of the circuits or increase the difficulty in hacking crypto-devices. Proposed schemes can also be extended to non GF digital circuits

    Speeding up a scalable modular inversion hardware architecture

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    The modular inversion is a fundamental process in several cryptographic systems. It can be computed in software or hardware, but hardware computation proven to be faster and more secure. This research focused on improving an old scalable inversion hardware architecture proposed in 2004 for finite field GF(p). The architecture has been made of two parts, a computing unit and a memory unit. The memory unit is to hold all the data bits of computation whereas the computing unit performs all the arithmetic operations in word (digit) by word bases known as scalable method. The main objective of this project was to investigate the cost and benefit of modifying the memory unit to include parallel shifting, which was one of the tasks of the scalable computing unit. The study included remodeling the entire hardware architecture removing the shifter from the scalable computing part embedding it in the memory unit instead. This modification resulted in a speedup to the complete inversion process with an area increase due to the new memory shifting unit. Quantitative measurements of the speed area trade-off have been investigated. The results showed that the extra hardware to be added for this modification compared to the speedup gained, giving the user the complete picture to choose from depending on the application need.the British council in Saudi Arabia, KFUPM, Dr. Tatiana Kalganova at the Electrical & Computer Engineering Department of Brunel University in Uxbridg

    A Survey of Lightweight Cryptosystems for Smart Home Devices

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    A Smart Home uses interconnected network technology to monitor the environment, control the various physical appliances, and communicate with each other in a close environment. A typical smart home is made up of a security system, intercommunication system, lighting system, and ventilation system.  Data security schemes for smart homes are ineffective due to inefficiency cryptosystems, high energy consumption, and low exchange security. Traditional cryptosystems are less-applicable because of their large block size, large key size, and complex rounds. This paper conducts a review of smart homes, and adopts Ultra-Sooner Lightweight Cryptography to secure home door. It provides extensive background of cryptography, forms of cryptography as associated issues and strengths, current trends, smart home door system design, and future works suggestions. Specifically, there are prospects of utilizing XORed lightweight cryptosystem for developing encryption and decryption algorithms in smart home devices. The Substitution Permutation Network, and Feistel Network cryptographic primitives were most advanced forms of cipher operations with security guarantees. Therefore, better security, memory and energy efficiency can be obtained with lightweight ciphers in smart home devices when compared to existing solutions. In the subsequent studies, a blockchain-based lightweight cryptography can be the next springboard in attaining the most advanced security for smart home systems and their appliances.     &nbsp

    Fast, parallel and secure cryptography algorithm using Lorenz's attractor

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    A novel cryptography method based on the Lorenz's attractor chaotic system is presented. The proposed algorithm is secure and fast, making it practical for general use. We introduce the chaotic operation mode, which provides an interaction among the password, message and a chaotic system. It ensures that the algorithm yields a secure codification, even if the nature of the chaotic system is known. The algorithm has been implemented in two versions: one sequential and slow and the other, parallel and fast. Our algorithm assures the integrity of the ciphertext (we know if it has been altered, which is not assured by traditional algorithms) and consequently its authenticity. Numerical experiments are presented, discussed and show the behavior of the method in terms of security and performance. The fast version of the algorithm has a performance comparable to AES, a popular cryptography program used commercially nowadays, but it is more secure, which makes it immediately suitable for general purpose cryptography applications. An internet page has been set up, which enables the readers to test the algorithm and also to try to break into the cipher in

    Performance Analysis of Montgomery Multiplier using 32nm CNTFET Technology

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    In VLSI design vacillating the parameters results in variation of critical factors like area, power and delay. The dominant sources of power dissipation in digital systems are the digital multipliers. A digital multiplier plays a major role in a mixture of arithmetic operations in digital signal processing applications hinge on add and shift algorithms. In order to accomplish high execution speed, parallel array multipliers are comprehensively put into application. The crucial drawback of these multipliers is that it exhausts more power than any other multiplier architectures. Montgomery Multiplication is the popularly used algorithm as it is the most efficient technique to perform arithmetic based calculations. A high-speed multiplier is greatly coveted for its extraordinary leverage. The primary blocks of a multiplier are basically comprised of adders. Thus, in order to attain a significant reduction in power consumption at the chip level the power utilization in adders can be decreased. To obtain desired results in performance parameters of the multiplier an efficient and dynamic adder is proposed and incorporated in the Montgomery multiplier. The Carbon Nanotube field effect transistor (CNTFET) is a promising new device that may supersede some of the fundamental limitations of a silicon based MOSFET. The architecture has been designed in 130nm and 32nm CMOS and CNTFET technology in Synopsys HSpice. The analysed parameters that are considered in determining the performance are power delay product, power and delay and comparison is made with both the technologies.The simulation results of this paper affirmed the CNTFET based Montgomery multiplier improved power consumption by 76.47% ,speed by 72.67% and overall energy by 67.76% as compared to MOSFET-based Montgomery multiplier

    Research Activities on FPGA Design, Cryptographic Hardware, and Security Services

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    This paper reports on the main research results achieved by the author, including activities carried out in the context of funded Research Projects, until year 2012. The report presents an overview of the findings involving cryptographic hardware, as well as the results related to the acceleration of cryptanalytical algorithms. Another major research line involved FPGA design automation and testing. The above results were complemented by works on security service provisioning in distributed environments. The report presents an exhaustive description of all the scientific works derived from the above activities, indicating the essential insights behind each of them and the main results collected from the experimental evaluation

    Overview of research results on hardware-accelerated cryptography and security

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    This paper provides an overview of the research findings related to cryptographic hardware, acceleration of cryptanalytical algorithms, FPGA design automation and testing, as well as security service provisioning achieved by the author until the time of writing. The paper also refers to a few results developed in the framework of funded research projects which involved the author as a team member. The text briefly describes the implications of the main research results, indicating the corresponding publication and the essential insights behind each work
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