Self-Partial and Dynamic Reconfiguration Implementation for AES using FPGA

This paper addresses efficient hardware/software implementation approaches for the AES (Advanced Encryption Standard) algorithm and describes the design and performance testing algorithm for embedded system. Also, with the spread of reconfigurable hardware such as FPGAs (Field Programmable Gate Array) embedded cryptographic hardware became cost-effective. Nevertheless, it is worthy to note that nowadays, even hardwired cryptographic algorithms are not so safe. From another side, the self-reconfiguring platform is reported that enables an FPGA to dynamically reconfigure itself under the control of an embedded microprocessor. Hardware acceleration significantly increases the performance of embedded systems built on programmable logic. Allowing a FPGA-based MicroBlaze processor to self-select the coprocessors uses can help reduce area requirements and increase a system's versatility. The architecture proposed in this paper is an optimal hardware implementation algorithm and takes dynamic partially reconfigurable of FPGA. This implementation is good solution to preserve confidentiality and accessibility to the information in the numeric communication

Implementing a protected zone in a reconfigurable processor for isolated execution of cryptographic algorithms

We design and realize a protected zone inside a reconfigurable and extensible embedded RISC processor for isolated execution of cryptographic algorithms. The protected zone is a collection of processor subsystems such as functional units optimized for high-speed execution of integer operations, a small amount of local memory, and general and special-purpose registers. We outline the principles for secure software implementation of cryptographic algorithms in a processor equipped with the protected zone. We also demonstrate the efficiency and effectiveness of the protected zone by implementing major cryptographic algorithms, namely RSA, elliptic curve cryptography, and AES in the protected zone. In terms of time efficiency, software implementations of these three cryptographic algorithms outperform equivalent software implementations on similar processors reported in the literature. The protected zone is designed in such a modular fashion that it can easily be integrated into any RISC processor; its area overhead is considerably moderate in the sense that it can be used in vast majority of embedded processors. The protected zone can also provide the necessary support to implement TPM functionality within the boundary of a processor

Cryptoraptor : high throughput reconfigurable cryptographic processor for symmetric key encryption and cryptographic hash functions

textIn cryptographic processor design, the selection of functional primitives and connection structures between these primitives are extremely crucial to maximize throughput and flexibility. Hence, detailed analysis on the specifications and requirements of existing crypto-systems plays a crucial role in cryptographic processor design. This thesis provides the most comprehensive literature review that we are aware of on the widest range of existing cryptographic algorithms, their specifications, requirements, and hardware structures. In the light of this analysis, it also describes a high performance, low power, and highly flexible cryptographic processor, Cryptoraptor, that is designed to support both today's and tomorrow's encryption standards. To the best of our knowledge, the proposed cryptographic processor supports the widest range of cryptographic algorithms compared to other solutions in the literature and is the only crypto-specific processor targeting the future standards as well. Unlike previous work, we aim for maximum throughput for all known encryption standards, and to support future standards as well. Our 1GHz design achieves a peak throughput of 128Gbps for AES-128 which is competitive with ASIC designs and has 25X and 160X higher throughput per area than CPU and GPU solutions, respectively.Electrical and Computer Engineerin

Design and analysis of an FPGA-based, multi-processor HW-SW system for SCC applications

The last 30 years have seen an increase in the complexity of embedded systems from a collection of simple circuits to systems consisting of multiple processors managing a wide variety of devices. This ever increasing complexity frequently requires that high assurance, fail-safe and secure design techniques be applied to protect against possible failures and breaches. To facilitate the implementation of these embedded systems in an efficient way, the FPGA industry recently created new families of devices. New features added to these devices include anti-tamper monitoring, bit stream encryption, and optimized routing architectures for physical and functional logic partition isolation. These devices have high capacities and are capable of implementing processors using their reprogrammable logic structures. This allows for an unprecedented level of hardware and software interaction within a single FPGA chip. High assurance and fail-safe systems can now be implemented within the reconfigurable hardware fabric of an FPGA, enabling these systems to maintain flexibility and achieve high performance while providing a high level of data security. The objective of this thesis was to design and analyze an FPGA-based system containing two isolated, softcore Nios processors that share data through two crypto-engines. FPGA-based single-chip cryptographic (SCC) techniques were employed to ensure proper component isolation when the design is placed on a device supporting the appropriate security primitives. Each crypto-engine is an implementation of the Advanced Encryption Standard (AES), operating in Galois/Counter Mode (GCM) for both encryption and authentication. The features of the microprocessors and architectures of the AES crypto-engines were varied with the goal of determining combinations which best target high performance, minimal hardware usage, or a combination of the two

Secure extension of FPGA general purpose processors for symmetric key cryptography with partial reconfiguration capabilities

International audienceIn data security systems, general purpose processors (GPPs) are often extended by a cryptographic accelerator. The paper presents three ways of extending GPPs for symmetric key cryptography applications. Proposed extensions guarantee secure key storage and management even if the system is facing protocol, software and cache memory attacks. The system is partitioned into processor, cipher, and key memory zones. The three security zones are separated at protocol, system, architecture and physical levels. The proposed principle was validated on Altera NIOS II, Xilinx MicroBlaze and Microsemi Cortex M1 soft core processor extensions. We show that stringent separation of the cipher zone is helpful for partial reconfiguration of the security module, if the enciphering algorithm needs to be dynamically changed. However, the key zone including reconfiguration controller must remain static in order to maintain the high level of security required. We demonstrate that the principle is feasible in partially reconfigurable field programmable gate arrays (FPGAs) such as Altera Stratix V or Xilinx Virtex 6 and also to some extent in FPGAs featuring hardwired general purpose processors such as Cortex M3 in Microsemi SmartFusion FPGA. Although the three GPPs feature different data interfaces, we show that the processors with their extensions reach the required high security level while maintaining partial reconfiguration capability

Constructing cluster of simple FPGA boards for cryptologic computations

In this paper, we propose an FPGA cluster infrastructure, which can be utilized in implementing cryptanalytic attacks and accelerating cryptographic operations. The cluster can be formed using simple and inexpensive, off-the-shelf FPGA boards featuring an FPGA device, local storage, CPLD, and network connection. Forming the cluster is simple and no effort for the hardware development is needed except for the hardware design for the actual computation. Using a softcore processor on FPGA, we are able to configure FPGA devices dynamically and change their configuration on the fly from a remote computer. The softcore on FPGA can execute relatively complicated programs for mundane tasks unworthy of FPGA resources. Finally, we propose and implement a fast and efficient dynamic configuration switch technique that is shown to be useful especially in cryptanalytic applications. Our infrastructure provides a cost-effective alternative for formerly proposed cryptanalytic engines based on FPGA devices

An Energy-Efficient Reconfigurable DTLS Cryptographic Engine for Securing Internet-of-Things Applications

This paper presents the first hardware implementation of the Datagram Transport Layer Security (DTLS) protocol to enable end-to-end security for the Internet of Things (IoT). A key component of this design is a reconfigurable prime field elliptic curve cryptography (ECC) accelerator, which is 238x and 9x more energy-efficient compared to software and state-of-the-art hardware respectively. Our full hardware implementation of the DTLS 1.3 protocol provides 438x improvement in energy-efficiency over software, along with code size and data memory usage as low as 8 KB and 3 KB respectively. The cryptographic accelerators are coupled with an on-chip low-power RISC-V processor to benchmark applications beyond DTLS with up to two orders of magnitude energy savings. The test chip, fabricated in 65 nm CMOS, demonstrates hardware-accelerated DTLS sessions while consuming 44.08 uJ per handshake, and 0.89 nJ per byte of encrypted data at 16 MHz and 0.8 V.Comment: Published in IEEE Journal of Solid-State Circuits (JSSC