Elliptic Curve Encryption Algorithm Research Articles

Security analysis and provision of authentication protocol, based on peer-to-peer structure in IOT platform

The Internet of Things technology allows you to transfer data to any asset through communication networks such as the Internet or intranet. One of the most important problems is security, which includes confidentiality, authenticity validation, and completeness. Among security problems, the most important ones are ensuring authenticity and protecting privacy. The elliptic curve encryption algorithm is famous protocols for maintaining privacy and verifying authenticity. Despite the capabilities they have and provide good security against network attacks, they face challenges such as response time, delay in the authentication and authentication process, as well as the amount of memory consumed. Two-factor authentication (2FA) is a security process where users provide two different authentication factors to authenticate themselves. It also provides a higher level of security than authentication methods that rely on single-factor authentication (SFA). This article presents two novel methods for 2FA that use encryption techniques, scramble architecture, and chord architecture. These methods allow for the authentication process to be initiated by both parties involved in the communication. Three scenarios and three metrics of reaction time, memory usage, and connection latency were used to assess the efficacy of the suggested approach. The average reaction time is improved and is 0.012 s when the lengths of the finger table in the chord structure are increased to 10, 15, and 20. The findings show that the suggested approach reduces computing complexity, reaction time, and communication latency. It has an average reaction time of 0.016 s, an average memory use of 30,360 kb, and an average connection latency of 0.042 s.

Retracted: Hardware Optimization and System Design of Elliptic Curve Encryption Algorithm Based on FPGA

Retracted: Hardware Optimization and System Design of Elliptic Curve Encryption Algorithm Based on FPGA

Application of IoT technology in cyber security prevention system

Abstract In the process of gradually expanding the scale of computer networks and the design of network systems becoming more and more complex, people pay more and more attention to the construction of network security protection systems. Starting from the blockchain encryption technology, the article establishes the authentication and access management key based on the elliptic curve encryption algorithm and combines the maximum entropy model with the hidden Markov model to construct the MEMM for intrusion detection of network security. Based on the effective signal-to-noise ratio model of the network channel, an adaptive channel selection strategy based on the UCB algorithm is proposed. The IoT security prevention system is built based on IoT technology, and each functional module of the system is designed. The system’s authentication security, network intrusion detection, adaptive channel selection, and concurrency performance were tested after the design was completed. The encryption operation time of the ECC algorithm was improved by 41.53% compared to the RSA algorithm, the average time of the MEMM network intrusion detection was 41.54ms, and the false alarm rate of the intrusion detection was kept below 16.5%. The average packet collection rate of the nodes in the adaptive channel selection algorithm is 90.98%. The maximum system throughput is up to 62.19MB, and the extreme difference in data volume between different nodes is only 38 entries. Constructing a network security prevention system based on IoT technology and combining multiple encryption techniques can ensure the secure transmission of network data.

Blockchain-Based Data Access Security Solutions for Medical Wearables.

Digital healthcare services have become an integral part of our lives. There is an increasing number of healthcare professionals and patients using medical wearables for diagnosis and treatment, which simplifies and improves the diagnostic and therapeutic process. However, inappropriate use of medical data may result in the disclosure of private patient information. For protecting patients' privacy when using medical wearables, we propose a new blockchain-based data access security scheme. Specifically, the elliptic curve encryption algorithm and zero-knowledge authentication method are used to authenticate the identity of patients and doctors in the blockchain network. Furthermore, we develop a smart recommendation method based on deep reinforcement learning to recommend appropriate doctors for patients. Next, patients allow recommended doctors to access their medical data, and smart contracts specifically designed for secure data access to medical wearables will regulate subsequent data access. The security analysis and experimental results demonstrate that the proposed scheme can effectively protect patients' privacy during treatment through secure authentication and data access for medical wearables.

Efficient single-pixel imaging encrypted transmission based on 3D Arnold transformation

Single-pixel imaging (SPI) can transform 2D or 3D image data into 1D light signals, which offers promising prospects for image compression and transmission. However, during data communication these light signals in public channels will easily draw the attention of eavesdroppers. Here, we introduce an efficient encryption method for SPI data transmission that uses the 3D Arnold transformation to directly disrupt 1D single-pixel light signals and utilizes the elliptic curve encryption algorithm for key transmission. This encryption scheme immediately employs Hadamard patterns to illuminate the scene and then utilizes the 3D Arnold transformation to permutate the 1D light signal of single-pixel detection. Then the transformation parameters serve as the secret key, while the security of key exchange is guaranteed by an elliptic curve-based key exchange mechanism. Compared with existing encryption schemes, both computer simulations and optical experiments have been conducted to demonstrate that the proposed technique not only enhances the security of encryption but also eliminates the need for complicated pattern scrambling rules. Additionally, this approach solves the problem of secure key transmission, thus ensuring the security of information and the quality of the decrypted images.

A Novel Authentication Protocol for IoT-Enabled Devices

The Internet of Things (IoT) is composed of a large number of miniaturized devices interconnected through the Internet. These devices, equipped with sensing, computing, and communication capabilities, can be used to remotely control the environment or the monitored infrastructure. However, IoT devices usually only have limited resources, and thus designing a lightweight security authentication protocol for them is a challenge. This article proposes an identity authentication protocol between embedded devices and server. The protocol uses the elliptic curve encryption algorithm and realizes the anonymity of the device by hashing their IDs and prevents the server from replay attacks by adding security attributes timestamp. We prove the security of the protocol and its resistance to security attacks and also formally verify it using the AVISPA tool. In addition, through experimental comparison with existing protocols, we demonstrate the performance superiority of the proposed protocol.

Enhancing Security by Using GIFT and ECC Encryption Method in Multi-Tenant Datacenters

Data security and user privacy have become crucial elements in multi-tenant data centers. Various traffic types in the multi-tenant data center in the cloud environment have their characteristics and requirements. In the data center network (DCN), short and long flows are sensitive to low latency and high throughput, respectively. The traditional security processing approaches, however, neglect these characteristics and requirements. This paper proposes a fine-grained security enhancement mechanism (SEM) to solve the problem of heterogeneous traffic and reduce the traffic completion time (FCT) of short flows while ensuring the security of multi-tenant traffic transmission. Specifically, for short flows in DCN, the lightweight GIFT encryption method is utilized. For Intra-DCN long flows and Inter-DCN traffic, the asymmetric elliptic curve encryption algorithm (ECC) is utilized. The NS-3 simulation results demonstrate that SEM dramatically reduces the FCT of short flows by 70% compared to several conventional encryption techniques, effectively enhancing the security and anti-attack of traffic transmission between DCNs in cloud computing environments. Additionally, SEM performs better than other encryption methods under high load and in large-scale cloud environments.

Design and implementation of ECC combined with OPT encryption algorithm

【Objective】 Combining ECC and OPT, a novel elliptic curve algorithm was proposed, which can effectively resist the reverse calculation of quantum computer and ensure the security of private key. 【Method】 On the basis of elliptic curve encryption algorithm, OPT algorithm was introduced to protect the private key. 【Result】 The signature and verification of messages can be successfully completed by the repeated algorithm on Python platform. Finally, the algorithm is proved to be safe under Shor algorithm and quantum computer attack through algorithm theory. 【Conclusion】 ECC combined with OPT encryption algorithm can effectively resist reversible computation of functional quantum devices, prevent eavesdroppers from forging signatures, and ensure the security of modern public key cryptosystems.

Hardware Optimization and System Design of Elliptic Curve Encryption Algorithm Based on FPGA

Since entering the era of big data, the degree of information sharing is getting higher and higher; the information exchange is becoming more and more convenient, but at the same time, personal information is also easy to be exposed to the network environment, if it is used by criminals to lead to information leakage, and then bring certain risks. Therefore, it is in the information age and do a good job of network information security and confidentiality. At present, the security and secrecy of network information are mainly realized by cryptography. Public key cryptography can encrypt information and ensure the security of information transmission, so it is widely used in the contemporary society. At present, elliptic curve encryption is highly respected in the research field of public key cryptosystem. Elliptic curve encryption is divided into two main points, multiplication and inversion, respectively. Through the comparison of these two algorithms, it can be found that there are several choices if the main research objective is to save time, and the Euclidean extension method is mainly discussed in this paper. In other words, more efficient algorithms are used in the hardware implementation process, and a variety of algorithms can be used instead of a single curve algorithm. In this process, we can find the special features of upper level operation and bottom level finite operation. The upper level operation is KP operation, while the bottom level operation is fast calculation of four kinds of K in finite field operation, and finally realize FPGA algorithm. With the help of Quartus ii developed by predecessors, the upper and lower operations of elliptic curve are carried out using VHDL language. Combined ANXIX9.62 in the elliptic curve of each module to test, so as to ensure the accuracy of the data, reduces the error. According to the test results, the designed chip can efficiently complete the elliptic curve encryption system in the whole process. And the average KP operation time can reach 15.15 ms at 20 MHz frequency. At the same time, the chip can complete the operation on ECC public key with any variable curve in F domain less than 256. Therefore, this chip is a high-speed elliptic curve cryptographic chip with optional system parameters. Based on this, this article on the elliptic curve encryption algorithm based on FPGA hardware implementation of system design, from the view of mathematical study analysis, was carried out on the elliptic curve cryptosystem, according to the above two big difficulty, namely, the polynomial of GF(2), the finite field multiplication, and inversion; there will be a detailed studies of discussion, through software comparison to find the differences between different software, especially the software implementation performance level. In addition, it will also focus on the design of elliptic curve algorithm PGA, so as to explore the solution of the algorithm hardware.

Application of Internet of Things in Smart Factories under the Background of Industry 4.0 and 5G Communication Technology

The key identification element of the smart factory is the interconnection between devices, which solves the production method and development dilemma of the factory under Industry 3.0 and previous models. The new article published by Xinhua News Agency on January 16, 2022, advocates the idea of industry+ Internet, and its main goal is to realize intelligent production. At present, smart factories have become the main development direction of industrial enterprises in the world. 5G technology has been rapidly deployed with the development of mobile communication, and its performance has also been greatly improved compared to previous communication technologies. After China put forward the smart manufacturing 2025 plan, although a large number of enterprises are still lingering in the process of research, learning, and exploration, the idea of Industry 4.0 has taken root in various intelligent manufacturing enterprises, and the development route of Chinese manufacturing enterprises in the future has been ahead of schedule. Direction. Based on the basic theory of Industry 4.0, 5G wireless communication, Internet of Things, and smart factories, this paper firstly distributed questionnaires to 20 enterprises with smart factories by means of network and interview and reanalyzed the collected questionnaires by regression analysis method and then used the questionnaire scale analysis method to analyze the reliability and validity of the questionnaire and combined with the results of the questionnaire analysis to analyze the problems existing in the current smart factory. Finally, based on the background of Industry 4.0 and 5G communication technology, combined with the Internet of Things technology, the development layout of the smart factory is designed; that is, based on the elliptic curve encryption algorithm, the signature mechanism of mutual trust of all electronic devices in the IoT smart factory is set to improve the smart factory.

Design of specific mobile health-care communication encryption system based on natural language processing

Aiming at the problem of poor real-time and security caused by symmetric encryption in common communication encryption systems, a specific mobile communication encryption system based on natural language processing is designed. In the hardware part of the system, the hardware encryption module of communication terminal is designed. In the software part of the system, after the communication content is processed by natural language processing, the elliptic curve encryption algorithm is used to encrypt the specific communication content. Through comparative experiments, it is proved that the success rate of key agreement in encryption system processed by natural language is more than 93%, which has better security.

Application of Hybrid Encryption Algorithm in Hardware Encryption Interface Card

In order to effectively solve the increasingly prominent network security problems, cryptographic algorithm is the key factor affecting the effectiveness of IPSec VPN encryption. Therefore, this paper mainly studies cryptographic algorithms and puts forward the following solutions: briefly analyze the concept and function of IPSec VPN, as well as the basic theoretical knowledge of IPSec Security Protocol and cryptography, and analyze the traditional cryptography, modern cryptography, symmetric cryptographic algorithms and asymmetric algorithms, and their security. At the same time, the executable and security performances of AES and DES algorithms are compared and analyzed. This paper studies the elliptic curve encryption algorithm ECC, expounds the mathematical basis of realizing the algorithm, and compares and analyzes the security performance and execution efficiency of ECC. Based on the above two algorithms, a hybrid encryption algorithm is proposed, and the realization mechanism of the hybrid encryption algorithm is studied and discussed. The hybrid encryption algorithm combines the advantages of ECC and AES. The algorithm selects 128-bit AES and 256-bit ECC. In order to better cover up plaintext C, AES is used to encrypt information. While enhancing security, speed is also considered. The improved encryption, decryption, and signature authentication algorithms are relatively safe and fast schemes. ECC algorithm is improved, and on this basis, ECC algorithm and AES algorithm are combined. Moreover, HMAC message authentication algorithm is added, and the performance of the improved algorithm is significantly improved.

Microgrid Data Security Sharing Method Based on Blockchain under Internet of Things Architecture

The efficient and secure data sharing mechanism can support the microgrid to achieve more accurate business control, while the current data processing methods have the problems of large computing overhead and low data sharing security. Aiming at the current problems, this paper proposes a microgrid data sharing method based on blockchain technology based on the processing mode of cloud-edge-terminal architecture. Firstly, the elliptic curve encryption algorithm is used on the edge side to encrypt the data collected by the terminal equipment reliably, so as to improve the security and efficiency of microgrid key management. Then, in the cloud, the Reputation-Evaluation Practical Byzantine Fault Tolerant mechanism (REPBFT) based on smart contract and reputation evaluation can effectively manage the data sharing of edge computing devices, avoid the waste of network computing resources, and further improve the efficiency of microgrid data sharing. The simulation results show that when the number of edge devices reaches 25, the calculation and communication overhead of the proposed method are 63.46 ms and 2.66 KB, respectively, and when the processing data reaches 1024 KB, the security of the microgrid system is still 95%, which can realize safe and reliable data sharing and interaction, and can stably support the optimal operation of the microgrid.

Asymmetric Encryption of Invisible Structured Light 3D Imaging

The research proposes a novel invisible structured light 3D object encryption method. The system projects invisible light on the target plane to achieve three-dimensional object reconstruction. The encryption is conducted using keys from eight stripe patterns and two fingerprint patterns using an elliptic curve encryption algorithm to generate eight corresponding ciphertexts. The three-dimensional object is reconstructed using eight fringe patterns with the elliptic curve decryption algorithm. The proposed method greatly reduces the interference of background light in the system to achieve a better 3D imaging accuracy. The elliptic curve cryptosystem is able to ensure 3D object information transmission security. The simulation results validated the robustness and effectiveness of the proposed scheme. The proposed method has practical security-sensitive applications.

Research on Privacy Data Protection Based on Trusted Computing and Blockchain

Aiming at the problems of low protection accuracy and long time consumption in traditional privacy data protection methods, a privacy data protection method based on trusted computing and blockchain is proposed. Set up the Internet node secure transmission protocol through the trusted node uplink transmission protocol and the downlink transmission protocol, and according to the transmission protocol, combined with the blockchain technology, the ECC elliptic curve encryption algorithm is used to encrypt the amount of data existing in the blockchain, and the AES symmetric encryption algorithm is used to encrypt the private data that exists in the nonblockchain, thereby completing the protection of network private data. The simulation experiment results show that the privacy data protection accuracy of the proposed method is higher and the work efficiency is faster.

Information Transmission Scheme between Train and RBC Based on AES-ECC Algorithm

The existing information encryption scheme between the Radio Block Center (RBC) and the ground has problems such as weak keys, and the vehicle-ground information has a potential threat of being stolen. In order to ensure the safety of driving, on the basis of ensuring the correct transmission of train and ground information, research on more efficient encryption schemes has become the focus of work. In response to this trend, a hybrid encryption scheme based on AES and ECC encryption algorithms is proposed. The AES algorithm replaces the original 3DES algorithm, and the elliptic curve encryption algorithm ECC is used to encrypt the session key to improve the encryption security level. The encryption simulation, avalanche effect verification and execution efficiency test of fixed-length data are completed on Visual Stduio 2013 platform, and compared with the original encryption scheme. The results show that the scheme can meet the avalanche effect and the accuracy of data transmission, and it takes less time than the original encryption scheme, and is more suitable for two-way large-capacity information transmission between vehicles and ground.

EC-BAAS: Elliptic curve-based batch anonymous authentication scheme for Internet of Vehicles

As an indispensable part of intelligent transportation systems, Internet of Vehicles (IoV) has been widely used in improving the driving experience and road conditions. In the communication of IoV, the security of transmitted messages is critical. Specifically, the messages should be signed and verified before they are accepted by vehicles or road side units. To ensure the privacy of vehicle users, the vehicles’ true identity cannot be leaked. Moreover, considering the high dynamics and open environments of IoV, it is very important to design an efficient anonymous authentication scheme on the basis of security. However, most of the existing schemes struggle with the problems of insufficient security performance and low efficiency. This motivates us to propose a safe and efficient privacy protection scheme for IoV. The proposed scheme is a new batch anonymous authentication scheme designed based on the elliptic curve encryption algorithm, considering both security and efficiency. A distributed signature generation method is also developed in the proposed scheme to relieve the burden of the trusted center. In addition, our scheme can effectively track illegal vehicles and achieve conditional privacy protection. Theoretical analysis and performance evaluation are both carried out to validate our scheme. The results show that our scheme ensures competitive security performance with lower communication and computation overheads compared to representative approaches.

Security vulnerability and encryption technology of computer information technology data under big data environment

In recent years, the traditional encryption storage technology and management methods have been difficult to satisfy the demand of big data in terms of speed, capacity, storage efficiency and security, along with the rapid increase of data volume. Data security is facing great challenges and challenges. To solve this problem, this paper proposes a de-redundancy method based big data encryption algorithm. Firstly, bloom filter technology is used to decrease the dimension of big data. Based on its remarkable advantages, bloom filter space and query efficiency and variable-length block detection scheme with less additional overhead, duplicate data detection and deletion algorithm suitable for large data is designed and implemented. Secondly, based on eliminating redundancy of big data, combined with the characteristics of the elliptic curve encryption algorithm and AES block cipher mode in terms of computing speed, parallelism and security, an encryption approach based on data de-redundancy technology is presented. According to the evaluation system of the encryption algorithm, the encryption time, keyspace and security of the new algorithm are evaluated. Experimental results reveal that the scheme has better security, and the presented approach can increase the speed of the encryption process, and decrease the encryption time and consumption.

Research on information security of users’ electricity data including electric vehicle based on elliptic curve encryption

In the smart grid and big data environment, accurate and large amount of power load data for users can be obtained with the wide application of non-intrusive load monitoring technology. In the research process of customers’ information, information security protection of users’ electricity data has become a research hotspot urgently. This article proposes a new type of load decomposition method for electric vehicle load information and compares it with hidden Markov model algorithm to verify its accuracy. On this basis, the elliptic curve encryption algorithm is used to encrypt the users’ electricity data, and the function and effectiveness of the encryption algorithm are verified by comparing the load decomposition of the electric vehicle with the unencrypted data.

Secure Identity Authentication of Community Medical Internet of Things

In the community medical Internet of Things (IoT) environment, there exist a large number of device nodes, network nodes and user nodes which form a heterogeneous network. In order to ensure smooth data exchange, some gateway nodes are adopted to connect different network spaces. Therefore, how to identify and authenticate the identities of heterogeneous nodes is an urgent problem to be solved. In this paper, we start with node security identity authentication, make uses of the mechanism of elliptic curve encryption algorithm signature and session key symmetric encryption, design an efficient community medical IoT node secure two-way identity authentication method, and propose a secure and reliable update mechanism for the update of authentication keys and session keys. These measures can effectively ensure the legality of nodes and communication security in the community medical IoT system. Through the analysis and comparison of experimental performance, this scheme is more suitable for the scene of community medical Internet of Things.