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A Spam Transformer Model for SMS Spam Detection [PDF]
IEEE Access, 2021 In this paper, we aim to explore the possibility of the Transformer model in detecting the spam Short Message Service (SMS) messages by proposing a modified Transformer model that is designed for detecting SMS spam messages.
Xiaoxu Liu, Haoye Lu, Amiya Nayak
doaj +4 more sources
Spam Review Detection Techniques: A Systematic Literature Review
Applied Sciences, 2019 Online reviews about the purchase of products or services provided have become the main source of users’ opinions. In order to gain profit or fame, usually spam reviews are written to promote or demote a few target products or services.
Naveed Hussain +4 more
doaj +3 more sources
An intelligent spam detection framework using fusion of spammer behavior and linguistic. [PDF]
PLoS ONEThe diverse types of fake text generation practices by spammer make spam detection challenging. Existing works use manually designed discrete textual or behavior features, which cannot capture complex global semantics of text and reviews.
Amna Iqbal +5 more
doaj +2 more sources
Spam Review Detection Using the Linguistic and Spammer Behavioral Methods
IEEE Access, 2020 Online reviews regarding different products or services have become the main source to determine public opinions. Consequently, manufacturers and sellers are extremely concerned with customer reviews as these have a direct impact on their businesses ...
Naveed Hussain +4 more
doaj +3 more sources
Enhancing Detection of Arabic Social Spam Using Data Augmentation and Machine Learning
Applied Sciences, 2022 In recent years, people have tended to use online social platforms, such as Twitter and Facebook, to communicate with families and friends, read the latest news, and discuss social issues. As a result, spam content can easily spread across them.
Abdullah M. Alkadri +2 more
doaj +3 more sources
Key insights into recommended SMS spam detection datasets [PDF]
Scientific ReportsShort Message Service (SMS) spam poses significant risks, including financial scams and phishing attempts. Although numerous datasets from online repositories have been utilized to address this issue, little attention has been given to evaluating their ...
Mohammad Firdaus Johari +6 more
doaj +2 more sources
A systematic literature review on spam content detection and classification [PDF]
PeerJ Computer Science, 2022 The presence of spam content in social media is tremendously increasing, and therefore the detection of spam has become vital. The spam contents increase as people extensively use social media, i.e., Facebook, Twitter, YouTube, and E-mail. The time spent
Sanaa Kaddoura +3 more
doaj +2 more sources
Spam Detection Based on Feature Evolution to Deal with Concept Drift [PDF]
Journal of Universal Computer Science, 2021 Electronic messages are still considered the most significant tools in business and personal applications due to their low cost and easy access. However, e-mails have become a major problem owing to the high amount of junk mail, named spam, which fill ...
Marcia Henke +3 more
doaj +3 more sources
Analysis of Web Spam for Non-English Content: Toward More Effective Language-Based Classifiers. [PDF]
PLoS ONE, 2016 Web spammers aim to obtain higher ranks for their web pages by including spam contents that deceive search engines in order to include their pages in search results even when they are not related to the search terms.
Mansour Alsaleh, Abdulrahman Alarifi
doaj +1 more source
Proliferation and Detection of Blog Spam [PDF]
IEEE Security & Privacy Magazine, 2010 The ease of posting comments and links in blogs has attracted spammers as an alternative venue to conventional email. An experimental study investigates the nature and prevalence of blog spam. Using Defensio logs, the authors collected and analyzed more than one million blog comments during the last two weeks of June 2009.
Saeed Abu-Nimeh, Thomas M. Chen
openaire +4 more sources