Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

The so-called behavioral anomaly detection (BAD) is expected to solve effectively a variety
of security issues by detecting the deviances from normal behavioral patterns of protected …

As the majority of Internet traffic is encrypted by the Transport Layer Security (TLS) protocol,
recent advances leverage Deep Learning (DL) models to conduct encrypted traffic …

At present, the TLS cryptographic protocol is widely deployed. While protecting the security
and integrity of transmitted information, it also makes the detection of malicious behavior …

As the mainstream encrypted protocols adopt TCP protocol to ensure lossless data
transmissions, the privacy of encrypted TCP traffic becomes a significant focus for …

Recent years have seen growing interest and support for IPv6 in residential networks. While
nearly all modern networking devices and operating systems support IPv6, it remains …

Recent breakthroughs in machine learning (ML) have unleashed several approaches to
fingerprinting web traffic based on traffic analysis. In particular, researchers report …

In recent years, an increasing number of mobile platforms and applications have adopted
traffic encryption protocol technology to ensure privacy and security. Existing researches on …

Most of existing methods for classifying mobile encrypted traffic are primarily designed for
coarse-grained scenarios, focusing on classification at the app name level. This implies that …

The existing encrypted mobile traffic classification methods often require a large number of
training sets to ensure the effect of the model. When it is difficult to collect enough samples …