The prosperity of machine learning has been accompanied by increasing attacks on the
training process. Among them, poisoning attacks have become an emerging threat during …

The Internet of Things (IoT) is being hailed as the next wave revolutionizing our society, and
smart homes, enterprises, and cities are increasingly being equipped with a plethora of IoT …

With the development of Internet of Things (IoT) and cloud technologies, numerous IoT
devices and sensors transmit huge amounts of data to cloud data centers for further …

With more attention paid to user privacy and communication security, the volume of
encrypted traffic rises sharply, which brings a huge challenge to traditional rule-based traffic …

Mobile-application fingerprinting of network traffic is valuable for many security solutions as
it provides insights into the apps active on a network. Unfortunately, existing techniques …

The application of machine learning for the detection of malicious network traffic has been
well researched over the past several decades; it is particularly appealing when the traffic is …

Network security has become an area of significant importance more than ever as
highlighted by the eye-opening numbers of data breaches, attacks on critical infrastructure …

An emerging trend in network security consists in the adoption of programmable switches for
performing various security tasks in large-scale, high-speed networks. However, since …

The use of TLS by malware poses new challenges to network threat detection because
traditional pattern-matching techniques can no longer be applied to its messages. However …

mart home devices are vulnerable to passive inference attacks based on network traffic,
even in the presence of encryption. In this paper, we present PINGPONG, a tool that can …