It is an interesting question Can and How Large Language Models (LLMs) understand non-
language network data, and help us detect unknown malicious flows. This paper takes …

In this paper, we revisit the use of honeypots for detecting reflective amplification attacks.
These measurement tools require careful design of both data collection and data analysis …

In this paper, we revisit the open DNS (ODNS) infrastructure and, for the first time,
systematically measure and analyze transparent forwarders, DNS components that …

Motivated by the impressive but diffuse scope of DDoS research and reporting, we
undertake a multistakeholder (joint industry-academic) analysis to seek convergence across …

Enterprise networks that host valuable assets and services are popular and frequent targets
of distributed network attacks. In order to cope with the ever-increasing threats, industrial …

As IoT technology advances, the smart grid (SG) has become crucial to industrial
infrastructure. However, SG faces security challenges, particularly from distributed denial of …

Reflection-based volumetric distributed denial-of-service (DDoS) attacks take advantage of
the available to all (open) services to flood and possibly overpower a victim's server or …

Volumetric Distributed Denial of Service (DDoS) attacks have been a severe threat to the
Internet for more than two decades. Some success in mitigation has been achieved based …

Cyberattacks significantly impact the services based on the internet that is used in our daily
lives. Any disruption will make it extremely difficult for us to carry out our daily activities …

Open DNS resolvers are infamous contributors to DDoS attacks. Characteristics of open
DNS resolvers have been studied in different aspects in the past. However, there is a gap in …