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Advisor(s)
Abstract(s)
ecurity reports published by leading companies
reveal the growing number of cyber attacks. Thefts of money or
sensitive data, harm the reputation of organizations and sabotage
of national critical infrastructures are some of the motivations
behind these attacks. The sophistication of these attacks is very
high, creating major challenges to the detection and mitigation
in useful time. In this context the development of systems to
provide situational awareness, to detect cyber threats and alert
them in real-time are very important to mitigate the impact of
the attacks.
In this paper we present a cyber threat platform targeted
for real-time detection and visualization of cyber threats. The
platform is composed by several building blocks and it is able
to collect huge amounts of data from multiple sources, prepare
and analyze the data and present the findings through a set
of insightful dashboards. A version of the platform is already
available and used in a real-context. It collects more than 107
million of malware events daily from different data sources and
provides visualization and alerts in real-time for more than 2.7
million of infected unique IPs spread around the world.
Description
Keywords
cybersecurity threat intelligence big data security big data visualization malware
Citation
Publisher
Institute of Electrical and Electronics Engineers