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

Considering the attacks against industrial control system are mostlyorganized and premeditated actions, IP traceback is significant for thesecurity of industrial control system. Based on the infrastructure of theInternet, we have developed a novel malicious IP traceback model-ICSTrace,without deploying any new services. The model extracts the function codes andtheir parameters from the attack data according to the format of industrialcontrol protocol, and employs a short sequence probability method to transformthe function codes and their parameter into a vector, which characterizes theattack pattern of malicious IP addresses. Furthermore, a Partial Seeded K-Meansalgorithm is proposed for the pattern's clustering, which helps in tracing theattacks back to an organization. ICSTrace is evaluated basing on the attackdata captured by the large-scale deployed honeypots for industrial controlsystem, and the results demonstrate that ICSTrace is effective on malicious IPtraceback in industrial control system.

ICSTrace: A Malicious IP Traceback Model for Attacking Data of Industrial Control System