Memristor-based design has gained significant attention in recent years due to its potential to revolutionize various fields such as artificial intelligence, neuromorphic computing, non-volatile memory, signal processing, filtering, and radio frequency design. These emerging devices offer unique advantages such as non-volatile memory, low power consumption, and a high integration density. Their scalability and compatibility with existing fabrication processes make them an attractive option for industry adoption, paving the way for faster and more efficient architecture design. Researchers are actively exploring ways to optimize memristor technology for practical applications to harness its full potential. This includes developing novel materials and structures as well as improving the reliability and performance of memristors in various applications. This paper provides a comprehensive overview of the current advancements in memristor technology and their potential impact on the design of future electronic systems, focusing on its applications in the analog domain. By exploring the latest research and development in this field, researchers can gain valuable insights into how analog memristors can be integrated into their designs to achieve enhanced performance and efficiency. The paper delves into the fundamental principles of memristor technology, exploring its unique characteristics and advantages over traditional electronic components. It discusses the potential impact of memristors and challenges in the analog field of electronics, and highlights the progress made in their integration with existing circuitry, enabling novel functionalities and improved performance. Furthermore, it highlights ongoing research efforts to improve the performance and reliability of memristors, as well as the potential limitations and challenges that need to be addressed for widespread adoption, including variability in performance and reliability.

The cryptographic hash algorithm has been developed by designers with the goal to enhance its performances in terms of frequency, throughput, power consumption and area. The cryptographic hash algorithm is implemented in many embedded systems to ensure security. It is become the default choice to ensure the information integrity in numerous applications. In this paper, we propose a pipelined architecture of the new algorithm SHA-3 (KECCAK). In addition, the proposed KECCAK architecture has been implemented on Xilinx FPGA platform (Virtex-5). Its frequency, efficiency, throughput and area have been compared and discussed. The FPGA implementation results show that the proposed architecture achieves good performance in terms of frequency and throughput.

Physical implementations of cryptographic algorithms may let relatively side channel information. By analyzing this information leakage, the confidential data, like the cryptographic keys, can be revealed. The correlation power analysis(CPA) is a well-known attack of the cryptographic device. This paper conduces a successful CPA of the Advanced Encryption Standard AES implemented on the Xilinx FPGA with the Side-channel Attack Standard Evaluation Board (SASEBO). The experimental results show that the choice of the power model and the number of power traces can further improve the performance of CPA attack in extracting the correct key.

Memristors, as the fourth fundamental circuit element, have attracted significant interest for their potential in analog signal processing, computing, and memory storage technologies. However, physical memristor implementations still face challenges in reproducibility, scalability, and integration with standard CMOS processes. Memristor emulator circuits, implemented using analog, digital, and mixed components, have emerged as practical alternatives, offering tunability, cost effectiveness, and compatibility with existing fabrication technologies for research and prototyping. This review paper provides a comprehensive analysis of recent advancements in memristor emulator design methodologies, including active and passive analog circuits, digital implementations, and hybrid approaches. A critical evaluation of these emulation techniques is conducted based on several performance metrics, including maximum operational frequency range, power consumption, and circuit topology. Additional parameters are also taken into account to ensure a comprehensive assessment. Furthermore, the paper examines promising healthcare applications of memristor and memristor emulators, focusing on their integration into biomedical systems. Finally, key challenges and promising directions for future research in memristor emulator development are outlined. Overall, the research presented highlights the promising future of memristor emulator technology in bridging the gap between theoretical memristor models and practical circuit implementations.