Recent research has shown that in-network observers of WiFi communication (ie, observers
who have joined the WiFi network) can obtain much information regarding the types, user …

In this paper, we introduce a novel traffic masking method, called Generative Adversarial
Network (GAN) tunnel, to protect the identity of applications that generate network traffic from …

The Internet of Things (IoT) consists of sensors and actuators that facilitate many aspects of
our daily life. Compared to typical computing devices such as laptops and smartphones …

The proliferation of massive Internet of Things (IoT) devices poses research challenges
especially in unmanned aerial vehicles (UAV)-assisted IoT. In particular, the limited battery …

We propose to equalize primary statistical metrics to decrease adversarial classification
accuracy of network traffic classifiers that are based on supervised machine learning (ML) …

Almost every industry has revolutionized with Artificial Intelligence. The telecommunication
industry is one of them to improve customers' Quality of Services and Quality of Experience …

In the advancing era, Machine Learning has become the backbone of IT and is being used
almost in every system. Whereas Cryptography is another widely used technology, which is …

With the rapid development of Internet, the scale of the network is gradually expanding,
which brings convenience to our life, as well as brings many network security issues, such …

WiFi networks are susceptible to statistical traffic analysis attacks. Despite encryption, the
metadata of encrypted traffic, such as packet inter-arrival time and size, remains visible. This …

T Variants of vulnerabilities in wireless network are rapidly increasing as a result of
emerging network traffic complexities. The addition of network communication protocols …