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Erschienen in:
Social Internet of Things: Opportunities and Challenges in Developing Countries Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Prevention of Phishing Attack in Internet-of-Things based Cyber-Physical Human System

verfasst von : Alekha Kumar Mishra, Asis Kumar Tripathy, Sowmya Saraswathi, Meenakshi Das

Erschienen in: High Performance Vision Intelligence

Verlag: Springer Singapore

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Abstract

In Internet-of-Things enabled Cyber-Physical Human System (CPHS), the controller control the destination systems. The challenger or hacker can perform a number of attacks on this network to threaten the identity and vulnerability of the system, by consuming the networked resources. One of the issue that possesses threat on identities and user credentials is the phishing. The mechanisms for phishing detection in IoT based CPHS should be light-weight and not much complicated in order to meet the CPHS requirement. In CPHS, the credentials can be compromised from the user by showing very similar electronic pages or messages, and encouraging user to provide their secured financial data. These issues need to be resolved in order to get the right output and get all the functionalities to work properly. CPHS has mainly two major components, the first one is controller and second one is destination system. Commands are sent from the sensor to the destination via sensor nodes on the network and the destination system communicates with the controller about what actions to perform or how to deal with the information that controller has sent.

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Vorheriges Kapitel Social Internet of Things: Opportunities and Challenges in Developing Countries
Nächstes Kapitel Blockchain for Secure Internet of Things
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Metadaten
Titel
Prevention of Phishing Attack in Internet-of-Things based Cyber-Physical Human System
verfasst von
Alekha Kumar Mishra
Asis Kumar Tripathy
Sowmya Saraswathi
Meenakshi Das
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
High Performance Vision Intelligence

Print ISBN: 978-981-15-6843-5

Electronic ISBN: 978-981-15-6844-2

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-6844-2_2

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