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Mitigating Mirai Malware Spreading in IoT Environment

Authors: Tatikayala Sai Gopal; Mallesh Meerolla; G. Jyostna; P. Reddy Lakshmi Eswari; E. Magesh;

Mitigating Mirai Malware Spreading in IoT Environment

Abstract

Internet of Things(IoT) allows humans and everyday physical objects to interact and facilitates information sharing. Limited computational & memory capabilities, heterogeneous nature and lack of security mechanisms in IoT give rise to security and privacy concerns. Hence, vulnerable IoT devices lure attackers to exploit and turn them into a bot. A Botnet is a collection of these bots used to perform DDoS attacks later. Many IoT security breaches have been reported recently, which have disrupted the access to popular websites. In this paper, we analyzed the most recent Mirai malware, its exploitation techniques and proposed whitelisting based solution to prevent IoT Botnet from spreading and our experiments illustrates the successful blocking of Mirai malware

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    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
33
Top 10%
Top 10%
Top 10%
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