Sep 27, 2022 · In proposed approach integrating KNN, RF, and ETC can detect smishing messages with a 99.03% accuracy and 98.94% precision rate which is ...
Sep 6, 2022 · In proposed approach integrating KNN, RF, and ETC can detect smishing messages with a 99.03% accuracy and 98.94% precision rate which is ...
Nov 4, 2022 · Therefore, this paper proposes an efficient approach that analyzes text content and uniform resource locator (URL) presented in the SMS. We have ...
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SMS content analysis is performed using text pre-processing and analyzing techniques to detect the presence of. URL, Phone Number, E-mail ID, and malicious ...
SM‐Detector: A security model based on BERT to detect SMiShing messages in mobile environments · A content and URL analysis‐based efficient approach to detect ...
A novel method which will categorize the text message based on the SMS contents and URL behavior, using a machine learning algorithm to classify the message ...
Sep 6, 2022 · A content and URL analysis-based efficient approach to detect smishing SMS in intelligent systems · International Journal of Intelligent Systems ...
The proposed method consists of four modules, namely, SMS Content Analyzer, URL Filter, Source Code Analyzer and Apk Download Detector. SMS Content Analyzer ...
Mar 15, 2022 · Step 1: SMS Content Analyzer (Algorithm 1) scrutinizes the appearance of a link in the SMS. In case a link is detected, then SMS proceeds for ...
Hence, we proposed a model called Smishing Detector based on SMS content Analysis and URL behavior analysis that has low false-positive results. We have done ...
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