In this paper, we propose HyperVision, a realtime unsupervised machine learning (ML)
based malicious traffic detection system. Particularly, HyperVision is able to detect unknown …

Machine learning (ML) based malicious traffic detection is an emerging security paradigm,
particularly for zero-day attack detection, which is complementary to existing rule based …

The source and path verification in Path-Aware Networking considers the two critical
issues:(1) end hosts could verify that the network follows their forwarding decisions, and (2) …

Industry Revolution 4.0 connects the Internet of Things (IoT) resource-constrained devices to
Smart Factory solutions and delivers insights. As a result, a complex and dynamic network …

Recent works found that signing zones with new cryptographic ciphers may disable
DNSSEC validation in DNS resolvers. Adversaries could exploit this to manipulate algorithm …

Recent research has shown a growing number of side-channel vulnerabilities in transport
layer protocols, such as TCP and UDP. Those side channels can be exploited by …

Nowadays traffic on the Internet has been widely encrypted to protect its confidentiality and
privacy. However, traffic encryption is always abused by attackers to conceal their malicious …

Secure data forwarding is critical for users to meet their requirements. In this paper, we
propose D3 (Demon Detector in Data Plane), a source-driven, secure fault localization …

The Internet Protocol (IP) is the most fundamental building block of the Internet. However, it
provides no explicit notion of packet-level authenticity. Such a weakness allows malicious …

The Internet of Vehicles (IoV), a network that interlinks vehicles, infrastructure, and assorted
entities, serves as a cornerstone for intelligent transportation systems and the emergence of …