The rapid growth of satellite network operators (SNOs) has revolutionized broadband
communications, enabling global connectivity and bridging the digital divide. As these …

IPv6 target generation is critical in fast IPv6 scanning for Internet-wide surveys and
cybersecurity analysis. However, existing techniques generally suffer from low hit rates …

In this paper, we propose an efficient segmentation approach in order to divide a
multivariate time series through integrating principal component analysis (PCA), visibility …

With the rise of Internet-of-Things devices, the analysis of sensor-generated energy time
series data has become increasingly important. This is especially crucial for detecting rare …

Data centers play an essential role in the functioning of modern society. However, failures
are unavoidable in data center networks (DCN) and will lead to negative impact on all …

IP scanning is crucial for network management and security. However, the brute-force
scanning is infeasible in IPv6 networks due to the vast address space. Consequently, target …

Network anomalies can seriously influence the performance of networks and cause huge
financial losses. Existing studies modeled the round‐trip time (RTT) time series of each link …

Through providing cheap rack and network hosting services, third-party internet data centers
(IDCs) have gained significant popularity among cloud service providers. Real-time …

Finding the root causes of network performance anomalies is critical to satisfy the quality of
service requirements. In this paper, we introduce machine learning (ML) models to process …

To extract the persistent and destructive routing events is critical for Internet service
providers (ISPs) to improve the network performance. Currently, the latest approach that …