When measuring big data leakage risk tolerance, the lack of comprehensive analysis of big data leakage risk factors leads to large measurement error. Therefore, a measurement model of big data leakage risk tolerance based on extended Bayesian ...

In today's rapid development of digital economy and digital transformation, SQLIA (SQL injection attack) against data infrastructure as a means of illegal access manipulation is a serious threat to data security, SQLIA methods are becoming more and more ...

Spatial information network, as a typical functional network, plays a key role in the task system. On the basis of analyzing the topological structure of spatial information network, this paper uses the operational ring theory to describe the functions ...

To understand the application of big data security technology platform construction, a research on the application of artificial intelligence in the construction of computer big data security technology platform has been proposed. This article first ...

The digital spread frequency watermark identity authentication based on orthogonal frequency division multiplexing (OFDM) technology under satellite-ground communication is studied. The OFDM-based watermark generation and superposition process at the ...

With the development of communication countermeasure technology, the covertness, anti-interception and anti-jamming of information transmission are more and more important. In this paper, on the basis of researching and analyzing the existing covert anti-...

With the continuous development of new power systems and the accumulation of massive power data, it is of great practical significance to strengthen power data sharing and promote the full flow of power data. This article proposes a power data sharing ...

The emergence of cloud-based power data sharing systems helps power enterprises eliminate isolated data islands and maximize the benefits of power data. However, power data may still face security risks e.g., unauthorized access and user privacy leakage ...

The encryption domain Reversible data hiding algorithm differs from the plaintext domain in that after encrypting the image information, the redundant space decreases, leading to difficulties in embedding and low embedding capacity in the encryption ...

This paper proposes a traffic anomaly detection method of bidirectional autoencoder generative adversarial network. This method first designs a twice encode autoencoder, and then fuses the twice encode autoencoder with the bidirectional generative ...

Smart contracts are computer trading protocols that require no intermediaries, self-validating, and automatically executing contract terms. In recent years, with the increasing popularity of blockchain technology, they have received considerable ...

Aiming at the problem that the common kernel functions of SVM algorithms are low in prediction recall, a hybrid SVM classification method based on ensemble learning is proposed. The NSL-KDD dataset was preprocessed, and PCA was used for feature selection,...

The widespread application of image technology has made its security issues particularly important. The core of information security research is cryptographic technology, which is mainly based on nonlinear science and information science research. Among ...

These years the application of Internet of Things technology has significantly expanded, playing a crucial role in various domains. The widespread adoption of 5G networks has greatly improved communication efficiency, thereby fostering the rapid ...

By analyzing and mining system logs, it is possible to effectively discover behavioral characteristics and anomalies of network users or systems. Through association analysis, patterns and correlations between different log sources can be identified, ...

Malware is becoming a significant hidden threat to network security, with traits like rapid population growth, numerous family varieties, and effective hiding. Traditional analysis methods have had trouble efficiently achieving family detection and ...

This paper presents a novel network security situational prediction model, FusedCNN-LSTM-AttNet, which integrates Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), and Attention mechanisms. The model leverages continuous time ...

With the rapid development of the Internet, the number of network attacks has increased, and network security has gradually become a focus of attention. Network security agent traffic classification refers to the analysis and detection of network ...

This paper establishes a portal middleware platform for multi-tenant environments that can support higher tenant density and reduce the cost of software management and maintenance. It analyzes the advantages of Docker containers compared with traditional ...

Data security has become an important guarantee for the operation of Industrial Internet of Things (IIoT). Once the data is leaked or trampered with, it may cause economic losses and property security. In this paper, we propose a blockchain-based data ...