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ANALYZING MALICIOUS SOFTWARE SUPPORTING DDOS ATTACKS ON IOT NETWORKS

ANALYZING MALICIOUS SOFTWARE SUPPORTING DDOS ATTACKS ON IOT NETWORKS

Abstract

The scheme and purpose of DDoS attacks are considered. Three of the most dangerous malware supporting DDoS attacks on IoT networks are presented for review. General recommendations on how to effectively counteract these three malicious software are provided.

Розглянуто схему та мету DDoS-атак. До огляду представлені три найнебезпечніших шкідливих програми, що підтримують DDoS-атаки на мережі IoT. Надано загальні рекомендації щодо ефективної протидії цим трьом шкідливим програмам.

Keywords

DDOS-ATTACKS, MALWARE, IOT NETWORKS, DDOS-АТАКИ, ШКІДЛИВЕ ПРОГРАМНЕ ЗАБЕЗПЕЧЕННЯ, МЕРЕЖІ IOT

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold