DDoS family: A novel perspective for massive types of DDoS attacks

Z Zhao, Z Li, Z Zhou, J Yu, Z Song, X Xie, F Zhang… - Computers & …, 2024 - Elsevier
Abstract Distributed Denial of Service (DDoS) defense is a profound research problem. In
recent years, adversaries tend to complicate their attack strategies by crafting vast DDoS …

[PDF][PDF] Automata-Based Automated Detection of State Machine Bugs in Protocol Implementations.

P Fiterau-Brostean, B Jonsson, K Sagonas, F Tåquist - NDSS, 2023 - ndss-symposium.org
Implementations of stateful security protocols must carefully manage the type and order of
exchanged messages and cryptographic material, by maintaining a state machine which …

ERNN: Error-resilient RNN for encrypted traffic detection towards network-induced phenomena

Z Zhao, Z Li, J Jiang, F Yu, F Zhang… - … on Dependable and …, 2023 - ieeexplore.ieee.org
Traffic detection systems based on machine learning have been proposed to defend against
cybersecurity threats, such as intrusion attacks and malware. However, they did not take the …

{ResolverFuzz}: Automated Discovery of {DNS} Resolver Vulnerabilities with {Query-Response} Fuzzing

Q Zhang, X Bai, X Li, H Duan, Q Li, Z Li - 33rd USENIX Security …, 2024 - usenix.org
Domain Name System (DNS) is a critical component of the Internet. DNS resolvers, which
act as the cache between DNS clients and DNS nameservers, are the central piece of the …

Trident: A Universal Framework for Fine-Grained and Class-Incremental Unknown Traffic Detection

Z Zhao, Z Li, Z Song, W Li, F Zhang - Proceedings of the ACM on Web …, 2024 - dl.acm.org
To detect unknown attack traffic, anomaly-based network intrusion detection systems
(NIDSs) are widely used in Internet infrastructure. However, the security communities realize …