Zobrazeno 1 - 10
of 1 317
pro vyhledávání: '"Spam detection"'
Autor:
Christopher G Harris
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 249-255 (2024)
As online reviews play a crucial role in purchasing decisions, businesses are increasingly incentivized to generate positive reviews, sometimes resorting to fake reviews or opinion spam. Detecting opinion spam requires well-trained models, but obtain
Externí odkaz:
https://doaj.org/article/10b8b403c781431393b7dbc4b3e719b7
Publikováno v:
Alexandria Engineering Journal, Vol 111, Iss , Pp 540-554 (2025)
Social media platforms, such as Facebook and X (formally known as Twitter), have become indispensable tools in today's society because they facilitate social discussion and information sharing. This feature makes social networks more attractive for s
Externí odkaz:
https://doaj.org/article/5a7ae3bf0aa24c90844d6d1836fbca23
Autor:
Wafa Hussain Hantom, Atta Rahman
Publikováno v:
AI, Vol 5, Iss 3, Pp 1049-1065 (2024)
Nowadays, one of the most common problems faced by Twitter (also known as X) users, including individuals as well as organizations, is dealing with spam tweets. The problem continues to proliferate due to the increasing popularity and number of users
Externí odkaz:
https://doaj.org/article/18954d26fae0463290e54746f6315bb8
Autor:
Chira N. Mohammed, Ayah M. Ahmed
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Detecting spam emails is essential to maintaining the security and integrity of email communication. Existing research has made significant progress in developing effective spam detection models, but challenges remain in improving classifica
Externí odkaz:
https://doaj.org/article/b513881647fc409c92750c330d2055c6
Autor:
Amutha Thangaraj, Geetha Sadayan
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 6, Pp 2072-2078 (2024)
Automated spam detection, utilizing feature selection (FS) and machine learning (ML), categorizes and identifies unsolicited messages, like spam emails. The goal is to accurately differentiate and filter out spam, enhancing overall email security. Th
Externí odkaz:
https://doaj.org/article/a5bdb864c3f843ed9a8b61aff35d493f
Publikováno v:
IEEE Access, Vol 12, Pp 143627-143657 (2024)
Nowadays, emails are used across almost every field, spanning from business to education. Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk emails or unwanted emails, can harm users by wasting time and computing
Externí odkaz:
https://doaj.org/article/6aaa904c69eb4bd482b2efaf1361fdf5
Autor:
Atika Qazi, Najmul Hasan, Rui Mao, Mohamed Elhag Mohamed Abo, Samrat Kumar Dey, Glenn Hardaker
Publikováno v:
IEEE Access, Vol 12, Pp 143485-143499 (2024)
The substantial upsurge in Web 2.0 deployment allows a large number of consumers to share their opinions with potential consumers and producers through product and service review platforms. Customer decision-making relies on an important aspect of re
Externí odkaz:
https://doaj.org/article/ab533b94bc184f83b8c3cbd96df26b70
Autor:
Ruchi Agarwal, Anshita Dhoot, Surya Kant, Vimal Singh Bisht, Hasmat Malik, Md. Fahim Ansari, Asyraf Afthanorhan, Mohammad Asef Hossaini
Publikováno v:
IEEE Access, Vol 12, Pp 124298-124313 (2024)
To enhance their company operations, organizations within the industry leverage the ecosystem of big data to manage vast volumes of information effectively. To achieve this objective, it is imperative to analyze textual data while prioritizing the sa
Externí odkaz:
https://doaj.org/article/8551fc1da0644b3c8da31b2849aeae07
Publikováno v:
IEEE Access, Vol 12, Pp 25164-25175 (2024)
In today’s communications, Short Message Service (SMS) and Internet protocol-based messaging systems are the most widely used channels. These services are currently the target of an unprecedented number of threats due to their rising appeal. Some s
Externí odkaz:
https://doaj.org/article/7d7ae2ea2195418b8b144cf1671534e9
Publikováno v:
IEEE Access, Vol 12, Pp 24306-24324 (2024)
The persistence of SMS spam remains a significant challenge, highlighting the need for research aimed at developing systems capable of effectively handling the evasive strategies used by spammers. Such research efforts are important for safeguarding
Externí odkaz:
https://doaj.org/article/9751aa8f14824fa388257bb9bcecdfb3