A comprehensive survey for intelligent spam email detection

A Karim, S Azam, B Shanmugam, K Kannoorpatti… - Ieee …, 2019 - ieeexplore.ieee.org
The tremendously growing problem of phishing e-mail, also known as spam including spear
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …

Machine intelligence-based algorithms for spam filtering on document labeling

D Gaurav, SM Tiwari, A Goyal, N Gandhi, A Abraham - Soft Computing, 2020 - Springer
The internet has provided numerous modes for secure data transmission from one end
station to another, and email is one of those. The reason behind its popular usage is its cost …

Sefaced: Semantic-based forensic analysis and classification of e-mail data using deep learning

M Hina, M Ali, AR Javed, F Ghabban, LA Khan… - IEEE …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI), in combination with the Internet of Things (IoT), called (AIoT), an
emerging trend in industrial applications, is capable of intelligent decision-making with self …

Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language

MA Mohammed, DA Ibrahim… - Journal of Intelligent …, 2021 - degruyter.com
Spam electronic mails (emails) refer to harmful and unwanted commercial emails sent to
corporate bodies or individuals to cause harm. Even though such mails are often used for …

Malicious text identification: deep learning from public comments and emails

A Baccouche, S Ahmed, D Sierra-Sosa, A Elmaghraby - Information, 2020 - mdpi.com
Identifying internet spam has been a challenging problem for decades. Several solutions
have succeeded to detect spam comments in social media or fraudulent emails. However …

Theory and factors influencing fraud in financial statements: a systematic literature review

G Soepriyanto, M Meiryani, MI Modjo - Proceedings of the 2021 …, 2021 - dl.acm.org
Financial statements fraud is an effort made on purpose by management of a company to
deceive and mislead the financial report. Employing a systematic literature review method …

A comparative study on fake job post prediction using different data mining techniques

SU Habiba, MK Islam, F Tasnim - 2021 2nd international …, 2021 - ieeexplore.ieee.org
In recent years, due to advancement in modern technology and social communication,
advertising new job posts has become very common issue in the present world. So, fake job …

An intelligent spam detection model based on artificial immune system

AJ Saleh, A Karim, B Shanmugam, S Azam… - Information, 2019 - mdpi.com
Spam emails, also known as non-self, are unsolicited commercial or malicious emails, sent
to affect either a single individual or a corporation or a group of people. Besides advertising …

Email classification and forensics analysis using machine learning

M Hina, M Ali, AR Javed, G Srivastava… - … Advanced & Trusted …, 2021 - ieeexplore.ieee.org
Emails are being used as a reliable, secure, and formal mode of communication for a long
time. With fast and secure communication technologies, reliance on Email has increased as …

Detecting advance fee fraud using nlp bag of word model

M Hamisu, A Mansour - 2020 IEEE 2nd International …, 2021 - ieeexplore.ieee.org
Advance Fee Fraud (AFF) is a form of Internet fraud prevalent within the Cybercrimes
domain in literature. Evidence shows that huge financial assets are stolen from the global …