Clustering-based Spam Image Filtering Considering Fuzziness of the Spam Image
نویسندگان
چکیده
منابع مشابه
Filtering 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 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 with Near-Duplicate Detection
A new trend in email spam is the emergence of image spam. Although current anti-spam technologies are quite successful in filtering text-based spam emails, the new image spams are substantially more difficult to detect, as they employ a variety of image creation and randomization algorithms. Spam image creation algorithms are designed to defeat well-known vision algorithms such as optical chara...
متن کاملImproving Image Spam Filtering Using Image Text Features
In this paper we consider the approach to image spam filtering based on using image classifiers aimed at discriminating between ham and spam images, previously proposed by other authors. In previous works this approach was implemented using “generic” image features. In this paper we show that its effectiveness can be improved by using specific features related to the graphical characteristics o...
متن کاملAn Incremental Learning Based Framework for Image Spam Filtering
Nowadays, an image spam is an unsolved problem because of two reasons. One is due to the diversity of spamming tricks. The other reason is due to the evolving nature of image spam. As new spam constantly emerging, filters’ effectiveness drops over time. In this paper, we present an effective anti-spam approach to solve the two problems. First, a novel clustering filter is proposed. By exploring...
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: International Journal of Advanced Computer Science and Applications
سال: 2016
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2016.071234