EntrapNet: A Blockchain-Based Verification Protocol for Trustless Computing

Li, Chong; Zhang, Lei; Fang, S.

doi:10.1109/jiot.2021.3124007

Cited by 2 publications

(1 citation statement)

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“…In [18], the main contribution of the paper is based on a collaborative approach for early detection of unwanted malicious emails and its application in large enterprises. In [25], the main contribution of the article is based on proposing a blockchainbased computing verification protocol, called EntrapNet, for distributed shared computing networks, an emerging underlying network for many Internet of Things (IoT) applications. All with the purpose of reducing the possibility of receiving incorrect computing results from untrusted service providers that have offered computing resources.…”

Section: Related Workmentioning

confidence: 99%

Intelligent System for Phishing detection on web pages using Random Forest

Araujo Arévalo,

Felix-Diaz monzon,

Mansilla López

2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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During the last years there have been many technological problems, among them, one of those that stands out for its impact worldwide is Phishing, which is a Social Engineering technique that seeks as a benefit to illegally appropriate confidential and private information. In Peru, this problem is spreading considerably due to the lack of interest of both state and private entities in being able to make a contingency plan against this problem, and more and more citizens are affected and there is no clear statement or response from the authorities. In response to this major problem, this paper proposes the use of an intelligent system that uses a Random Forest algorithm, which is based on machine learning and can detect in time the URLs that may be malicious.

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Section: Related Workmentioning

confidence: 99%