Open AccessThe Optimization Analysis of Phishing Email Filtering in Network Fraud based on Improved Bayesian Algorithm
Author(s) -
Yahao Zhang,
Jin Pang,
Hongshan Yin
Publication year - 2022
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.156
H-Index - 13
ISSN - 1998-4464
DOI - 10.46300/9106.2022.16.62
Subject(s) - phishing , computer science , consistency (knowledge bases) , encryption , trojan horse , data mining , key (lock) , bayesian network , transmission (telecommunications) , machine learning , computer security , artificial intelligence , the internet , telecommunications , world wide web
Mail transmission was not only the main function of information system, but also the main way of network virus and Trojan horse transmission, which has a key impact on the running state of information. In order to deal with the threats of network viruses and Trojans and improve the level of e-mail management, this paper studies the filtering of information system, and proposes a phishing e-mail filtering method based on Improved Bayesian model. MATLAB simulation results show that the consistency p between the amount of data sent by e-mail and the amount received is good, the consistency rate reached 92.3%. the data security level is 95%, encryption proportion / data proportion ratio under Bayesian optimization are higher than those of unfiltered methodwhich up to 97.2%. Therefore, the Bayesian optimization model constructed in this paper can meet the needs of phishing email filtering in information communication at this stage.