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Related papers: Trends in Combating Image Spam E-mails

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We evaluate empirically a scheme for combining classifiers, known as stacked generalization, in the context of anti-spam filtering, a novel cost-sensitive application of text categorization. Unsolicited commercial e-mail, or "spam", floods…

Computation and Language · Computer Science 2007-05-23 G. Sakkis , I. Androutsopoulos , G. Paliouras , V. Karkaletsis , C. D. Spyropoulos , P. Stamatopoulos

E-commerce is the fastest-growing segment of the economy. Online reviews play a crucial role in helping consumers evaluate and compare products and services. As a result, fake reviews (opinion spam) are becoming more prevalent and…

Machine Learning · Computer Science 2022-05-27 Kiril Danilchenko , Michael Segal , Dan Vilenchik

Online reviews are potent sources for industry owners and buyers, however opportunistic people may try to destruct or promote their desired product by publishing fake comments named spam opinion. So far, many models have been developed to…

Social and Information Networks · Computer Science 2020-08-21 Amir Jalaly Bidgolya , Zoleikha Rahmaniana

Phishing attacks frequently use email body obfuscation to bypass detection filters, but quantitative insights into how techniques are combined and their impact on filter scores remain limited. This paper addresses this gap by empirically…

Cryptography and Security · Computer Science 2025-06-26 Antony Dalmiere , Zheng Zhou , Guillaume Auriol , Vincent Nicomette , Pascal Marchand

Deep learning has revolutionized email filtering, which is critical to protect users from cyber threats such as spam, malware, and phishing. However, the increasing sophistication of adversarial attacks poses a significant challenge to the…

Cryptography and Security · Computer Science 2025-05-08 Esra Hotoğlu , Sevil Sen , Burcu Can

Although the problem of spam classification seems to be solved, there are still vulnerabilities in the current spam filters that could be easily exploited. We present one such vulnerability, in which one could replace some characters with…

Cryptography and Security · Computer Science 2020-11-11 Mark Sokolov , Kehinde Olufowobi , Nic Herndon

With its critical role in business and service delivery through mobile devices, SMS (Short Message Service) has long been abused for spamming, which is still on the rise today possibly due to the emergence of A2P bulk messaging. The effort…

Cryptography and Security · Computer Science 2024-07-23 Siyuan Tang , Xianghang Mi , Ying Li , XiaoFeng Wang , Kai Chen

An improved email classification method based on Artificial Immune System is proposed in this paper to develop an immune based system by using the immune learning, immune memory in solving complex problems in spam detection. An optimized…

Cryptography and Security · Computer Science 2014-02-07 Ismaila Idris , Shafii Muhammad Abdulhamid

Corporate mail services are designed to perform better than public mail services. Fast mail delivery, large size file transfer as an attachments, high level spam and virus protection, commercial advertisement free environment are some of…

Cryptography and Security · Computer Science 2016-11-17 Dhinaharan Nagamalai , Cynthia Dhinakaran , Jae Kwang Lee

The communication revolution has perpetually reshaped the means through which people send and receive information. Social media is an important pillar of this revolution and has brought profound changes to various aspects of our lives.…

Social and Information Networks · Computer Science 2022-01-17 Bilal Abu-Salih , Dana Al Qudah , Malak Al-Hassan , Seyed Mohssen Ghafari , Tomayess Issa , Ibrahim Aljarah , Amin Beheshti , Sulaiman Alqahtan

The increase in people's use of mobile messaging services has led to the spread of social engineering attacks like phishing, considering that spam text is one of the main factors in the dissemination of phishing attacks to steal sensitive…

Computation and Language · Computer Science 2022-05-10 Mai A. Shaaban , Yasser F. Hassan , Shawkat K. Guirguis

We propose a new detection algorithm that uses structural relationships between senders and recipients of email as the basis for the identification of spam messages. Users and receivers are represented as vectors in their reciprocal spaces.…

In this study, we introduce SpamDam, a SMS spam detection framework designed to overcome key challenges in detecting and understanding SMS spam, such as the lack of public SMS spam datasets, increasing privacy concerns of collecting SMS…

Cryptography and Security · Computer Science 2024-04-16 Yekai Li , Rufan Zhang , Wenxin Rong , Xianghang Mi

The world is full of text data, yet text analytics has not traditionally played a large part in statistics education. We consider four different ways to provide students with opportunities to explore whether email messages are unwanted…

Other Statistics · Statistics 2022-10-11 Nicholas J. Horton , Jie Chao , William Finzer , Phebe Palmer

Cybercriminals have found in online social networks a propitious medium to spread spam and malicious content. Existing techniques for detecting spam include predicting the trustworthiness of accounts and analyzing the content of these…

Social networking services like Twitter have been playing an import role in people's daily life since it supports new ways of communicating effectively and sharing information. The advantages of these social network services enable them…

Social and Information Networks · Computer Science 2016-05-17 Phuc Tri Nguyen , Hideaki Takeda

Spammers take advantage of email popularity to send indiscriminately unsolicited emails. Although researchers and organizations continuously develop anti-spam filters based on binary classification, spammers bypass them through new…

Computation and Language · Computer Science 2020-05-29 Francisco Jáñez-Martino , Eduardo Fidalgo , Santiago González-Martínez , Javier Velasco-Mata

SMS, or short messaging service, is a widely used and cost-effective communication medium that has sadly turned into a haven for unwanted messages, commonly known as SMS spam. With the rapid adoption of smartphones and Internet…

Machine Learning · Computer Science 2024-05-15 Mohammad Amaz Uddin , Muhammad Nazrul Islam , Leandros Maglaras , Helge Janicke , Iqbal H. Sarker

Spam messes up users inbox, consumes resources and spread attacks like DDoS, MiM, phishing etc. Phishing is a byproduct of email and causes financial loss to users and loss of reputation to financial institutions. In this paper we examine…

Cryptography and Security · Computer Science 2011-08-09 Cynthia Dhinakaran , Dhinaharan Nagamalai , Jae Kwang Lee

Spam and phishing remain critical threats in cybersecurity, responsible for nearly 90% of security incidents. As these attacks grow in sophistication, the need for robust defensive mechanisms intensifies. Bayesian spam filters, like the…

Cryptography and Security · Computer Science 2025-05-27 Malte Josten , Torben Weis