With the increasing amount of network throughput and security threat, the study of intrusion
detection systems (IDSs) has received a lot of attention throughout the computer science …

Because of the rapid increasing of malware attacks on the Internet of Things in recent years,
it is critical for resource‐constrained devices to guard against potential risks. The traditional …

Encrypted traffic classification is of great significance for advanced network services. Though
encryption methods seem unbroken in protecting users' privacy, existing studies have …

Graphics processing units (GPUs) have attracted a lot of attention due to their cost-effective
and enormous power for massive data parallel computing. In this paper, we propose a novel …

Malicious software, a threat users face on a daily basis, have evolved from simple bankers
based on social engineering to advanced persistent threats. Recent research and …

Several security applications rely on monitoring network traffic, which is increasingly
becoming encrypted. In this work, we propose a pattern language to describe packet trains …

While the number of connected devices is constantly growing, we observe an increased
incident rate of cyber attacks that target user data. Typically, personal devices contain the …

Pattern matching is a highly computationally intensive operation used in a plethora of
applications. Unfortunately, due to the ever increasing storage capacity and link speeds, the …

Abstract The Graphics Processing Unit (GPU) is a promising platform to implement Deep
Packet Inspection (DPI) due to the GPU's rich parallelism and programmability for high …

We are proposing an approach for implementing highly compressed Aho-Corasick and
Commentz-Walter automatons for performing GPU-accelerated virus scanning, suitable for …