English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Network intrusion detection systems and antivirus software are essential indetecting malicious network traffic and attacks such as denial-of-service andmalwares. Each attack, worm or virus has its own distinctive signature.Signature-based intrusion detection and antivirus systems depend on patternmatching to look for possible attack signatures. Pattern matching is a verycomplex task, which requires a lot of time, memory and computing resources.Software-based intrusion detection is not fast enough to match high networkspeeds and the increasing number of attacks. In this paper, we propose specialpurpose hardware for Wu-Manber pattern matching algorithm. FPGAs form anexcellent choice because of their massively parallel structure, reprogrammablelogic and memory resources. The hardware is designed in Verilog and implementedusing Xilinx ISE. For evaluation, we dope network traffic traces collectedusing Wireshark with 2500 signatures from the ClamAV virus definitionsdatabase. Experimental results show high speed that reaches up to 216 Mbps. Inaddition, we evaluate time, device usage, and power consumption.

Efficient Wu-Manber Pattern Matching Hardware for Intrusion and Malware Detection