The adoption of network traffic encryption is continually growing. Popular applications use
encryption protocols to secure communications and protect the privacy of users. In addition …

Machine learning is widely used to solve networking challenges, ranging from traffic
classification and anomaly detection to network configuration. However, machine learning …

Packet content scanning at high speed has become extremely important due to its
applications in network security, network monitoring, HTTP load balancing, etc. In content …

Content-addressable memory (CAM) and associative memory (AM) are types of storage
structures that allow searching by content as opposed to searching by address. Such …

Deep packet inspection (DPI) is widely used in content-aware network applications such as
network intrusion detection systems, traffic billing, load balancing, and government …

The constant increase in link speeds and number of threats poses challenges to network
intrusion detection systems (NIDS), which must cope with higher traffic throughput and …

Most of the security threats in various communications networks are posed by the illegitimate
entities that enter or intrude within the network perimeter, which could commonly be termed …

High-speed packet content inspection and filtering devices rely on a fast multipattern
matching algorithm which is used to detect predefined keywords or signatures in the …

As high-speed networks are becoming commonplace, it is increasingly challenging to
prevent the attack attempts at the edge of the Internet. While many high-performance …

The increasingly frequent network intrusions have brought serious impacts to the production
and life, thus malicious network traffic detection has received more and more attention in …