Towards Text-based Phishing Detection

11/02/2021
by   Gilchan Park, et al.
0

This paper reports on an experiment into text-based phishing detection using readily available resources and without the use of semantics. The developed algorithm is a modified version of previously published work that works with the same tools. The results obtained in recognizing phishing emails are considerably better than the previously reported work; but the rate of text falsely identified as phishing is slightly worse. It is expected that adding semantic component will reduce the false positive rate while preserving the detection accuracy.

READ FULL TEXT
research
12/26/2020

Scene Text Detection for Augmented Reality – Character Bigram Approach to reduce False Positive Rate

Natural scene text detection is an important aspect of scene understandi...
research
05/25/2020

Demoting Racial Bias in Hate Speech Detection

In current hate speech datasets, there exists a high correlation between...
research
11/21/2022

Rooms with Text: A Dataset for Overlaying Text Detection

In this paper, we introduce a new dataset of room interior pictures with...
research
04/21/2021

Robust shape estimation with false-positive contact detection

We propose a means of omni-directional contact detection using accelerom...
research
02/22/2015

Video Text Localization with an emphasis on Edge Features

The text detection and localization plays a major role in video analysis...
research
12/20/2019

Saliency Based Fire Detection Using Texture and Color Features

Due to industry deployment and extension of urban areas, early warning s...
research
01/23/2023

SMDDH: Singleton Mention detection using Deep Learning in Hindi Text

Mention detection is an important component of coreference resolution sy...

Please sign up or login with your details

Forgot password? Click here to reset