Security Of Data Transmission In Networks Research Articles

Increasing the Security of Network Data Transmission with a Configurable Hardware Firewall Based on Field Programmable Gate Arrays

Increasing the Security of Network Data Transmission with a Configurable Hardware Firewall Based on Field Programmable Gate Arrays

FCMPR:A multi-path secure transmission method based on link security assessment and fountain coding

The security of network data transmission has always been a focus of attention. With the rapid development of quantum computers and the rise of intelligent algorithms such as semantic analysis, traditional data encryption methods struggle to ensure the secure transmission of data. The avoidance routing protocol improves transmission security by circumventing malicious nodes and dangerous areas, but it misses the actual optimal path setup, reducing routing opportunities and increasing communication delays, thus failing to meet the application requirements that demand high security and low latency. To address these issues, this paper proposes a multi-path secure transmission method (FCMPR) based on link security assessment and fountain coding. We have designed a link security assessment method based on a random forest traffic detection model, which can obtain the link's confidence level to assess its security. Furthermore, we have proposed a secure multi-path routing transmission mechanism based on fountain code, enabling safe and rapid data transmission without avoiding malicious nodes. Experimental results show that even with a high proportion of malicious nodes in the network, FCMPR can significantly improve the data transmission rate, reduce the transmission delay, and enhance communication quality while ensuring data security.

Network Data Encryption Transmission Method Based on the Noekeon Algorithm

Given the problem of a high bit error rate in the current network data transmission process, to improve the security and confidentiality of data transmission, the Noekeon algorithm is introduced to carry out the design and research of network data encryption transmission methods. Combined with the multi-node communication technology, a multi-node network data transmission model and a topological structure model are established. Based on the Noekeon algorithm, the Gamma module and diffusion layer are used to encrypt the network data. Through the network data encryption transmission and the multi-node frequency synchronization compensation, the encrypted network data are transmitted by VPN networking. The comparative experiments show that the new transmission method can control the bit error rate below 10% in practical applications, which is significantly better than the previous transmission methods. The new transmission method can promote the security of network data transmission and protect users’ privacy.

Packet loss rate monitoring model of IoT based on differential evolution algorithm

In order to overcome the problems of high energy consumption and low execution efficiency of traditional Internet of things (IoT) packet loss rate monitoring model, a new packet loss rate monitoring model based on differential evolution algorithm is proposed. The similarity between each data point in the data space of the Internet of things is set as the data gravity. On the basis of the data gravity, combined with the law of gravity in the data space, the gravity of different data is calculated. At the same time, the size of the data gravity is compared, and the data are classified. Through the classification results, the packet loss rate monitoring model of the Internet of things is established. Differential evolution algorithm is used to solve the model to obtain the best monitoring scheme to ensure the security of network data transmission. The experimental results show that the proposed model can effectively reduce the data acquisition overhead and energy consumption, and improve the execution efficiency of the model. The maximum monitoring efficiency is 99.74%.

Access Control Scheme Based on Fuzzy Identity in Opportunistic Network

The environment of opportunistic network is complex and the malicious nodes in the network pose a great threat to the network performance. Since the security of opportunistic network is so important for data storage and forwarding, it is necessary to guarantee the security of network data transmission with the identity authentication of the node. This paper has proposed an access control scheme based on fuzzy identity encryption(FIBE) which improves the security of the system by the uniqueness of biological features. Besides, this scheme directly specifies the access right with attribute and allows users to prohibit malicious nodes from accessing the network. The simulation result shows that if there is malicious node in the network, the message delivery ratio of this scheme will be higher than other algorithms and it will not cause any obvious average delay of the message.