Ziel
Distributed Denial of Service (DDoS) is a form of cyber attack that makes a machine or network resource unavailable to its genuine users resulting in (i) downtime and (ii) a smokescreen for the introduction of viruses or other malware or to steal customer data. The effective downtime created by DDoS attacks is devastating for organisations that require reliable, non-stop (24/7) online availability – including telecommunication, mass transport, government voting systems, health systems, banking & financial institutions and e-commerce businesses. In 2016, the average effective downtime from each DDoS attack was 17 hours with an estimated average cost to companies of $250,000 (~€213,000) per hour . DDoS attacks are becoming easier to launch and the frequency, size and complexity of these attacks are increasing.
Although DDoS attacks can be blocked using DDoS mitigation solutions, these solutions currently have limited effectivity. Effective and well aligned attack mitigation, on the dynamic systems run by organizations, requires continual DDoS testing. The challenge is that currently all DDoS testing technologies are themselves disruptive to the test environment – meaning that they are restricted to isolated tests at specific time points and require costly dedicated maintenance windows that limit the number of tests which can be performed.
MazeBolt Technologies has developed the first ever Non-Disruptive (ND) DDoS testing technology that continuously simulates a wide variety of DDoS attacks without disrupting the tested environments. This offers a step change in the level of information and visibility on companies’ DDoS mitigation vulnerabilities. Our revolutionary DDoS Analyser runs exponentially more tests, continuously 24/7, with real time analysis of identified vulnerabilities.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- natural sciencescomputer and information sciencescomputer securitymalicious software
- social scienceseconomics and businessbusiness and managementcommercee-commerce
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEInst-2018-2020-1
Finanzierungsplan
SME-1 - SME instrument phase 1Koordinator
5251108 RAMAT GAN
Israel
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).