Protection Against Illicit Email Tracking
Ernesto Damiani , Chan Yeob Yeun, Kholoud Khameis Salem Al Zahmi
جامعة خليفة · الامارات
الموضوعات
علوم تطبيقية وتكنولوجية
الملخص
Image-based spams is one of the latest techniques used in spamming to avoid detection by text-based spam filters. Image-based spams are based on text embedded in an image. Optical Characters Recognition (OCR) has been used in many image-based filters. It can be integrated with other text-based spam filters to create a filter that can classify both text and images. However, obscuring techniques pose a challenge on these types of filters. In our experiments we show the effect of image obscuring on OCR based filters. We tested three text-based filters on over five thousands ENRON text emails and also tested the same text embedded on images. We used Asprise OCR to extract the text and fed the output to the spam filters. The comparison showed the effectiveness of using OCR for image-based spam filtering.
روابط وملفات
التعريف والنوع
- رقم الوثيقة
- fb0152a9-0b91-4277-8bb7-00d5fe1c8169
- رقم العقد
- 0
- نوع الوسائط
- Crawler
- نوع المحتوى
- الرسائل العلمية
- صيغة المصدر
- رسائل ماجيستير
- نوع الملف
- pdf text
- أسماء الملفات
- 2283194_1.pdf
بيانات النشر
- ألقاب المؤلفين
- [{"name_ar":" Ernesto Damiani ","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Chan Yeob Yeun","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Kholoud Khameis Salem Al Zahmi","title_ar":"اعداد","title_en":"Preparation"}]
- اللغة
- English
المصدر والدورية
- اسم المصدر
- Protection Against Illicit Email Tracking
المحتوى والصفحات
- عدد الصفحات
- 0
- كلمات الباحثين
- OCR spam image-based spam spam filter accuracy true positive false positive
إشراف وإعداد
- الإشراف
- Ernesto Damiani , Chan Yeob Yeun
- الإعداد
- Kholoud Khameis Salem Al Zahmi
الاقتباسات الببليوغرافية
APA
MLA