Image Content-Based “Email Spam Image” Filtering
نویسندگان
چکیده
منابع مشابه
Image Spam Filtering by Content Obscuring Detection
We address the problem of filtering image spam, a rapidly spreading kind of spam in which the text message is embedded into attached images to defeat spam filtering techniques based on the analysis of e-mail’s body text. We propose an approach based on low-level image processing techniques to detect one of the main characterstics of most image spam, namely the use of content obscuring technique...
متن کاملFiltering Image Spam: A Survey
Electronic mail being one of the most prevalent methods for exchange of digital messages has been facing the biggest threat that is spam. Since the text spam can be easily detected so a new variant of spamming came into being. The new variant of spam is the image spam that is the trending method of spamming. This paper investigates the several classifiers used in the image spam classification l...
متن کاملImage Based Spam Email Detection by Combined Approach
Electronic mail is one of the important communication channels of information technology which serves across the globe. Though the functionalities of e-mail have been very helpful in serving both individuals and institutions, it encounters a major issue called ‘Spamming’. Spam mails are unwanted text or image-based messages, often sent without the consent of users so as to fill their mailboxes....
متن کاملAnalysis of an Image Spam in Email Based on Content Analysis
Researchers initially have addressed the problem of spam detection as a text classification or categorization problem. However, as spammers’ continue to develop new techniques and the type of email content becomes more disparate, text-based anti-spam approaches alone are not sufficiently enough in preventing spam. In an attempt to defeat the anti-spam development technologies, spammers have rec...
متن کاملTwitter Content-Based Spam Filtering
Twitter has become one of the most used social networks. And, as happens with every popular media, it is prone to misuse. In this context, spam in Twitter has emerged in the last years, becoming an important problem for the users. In the last years, several approaches have appeared that are able to determine whether an user is a spammer or not. However, these blacklisting systems cannot filter ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Advances in Computer Networks
سال: 2014
ISSN: 1793-8244
DOI: 10.7763/jacn.2014.v2.92