کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9651029 | 666436 | 2005 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Classification methods in the detection of new malicious emails
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
A serious security threat today is malicious emails, especially new, unseen Internet worms and viruses often arriving as email attachments. These new malicious emails are created at the rate of thousands every year. Current anti-virus systems attempt to detect these new malicious email viruses with signatures generated by hand but it is often times costly. In this paper, we present some classification methods that detect new, unseen malicious emails accurately and automatically. The classification method found discrepancy behaviors in data set and use these behaviors to detect new malicious email viruses. Comparison results show the accuracy in the detection of new malicious emails. In order to improve the detection accuracy, the prototype of the bagged classifier is utilized in the implementation of our malicious email detection system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 172, Issues 1â2, 9 June 2005, Pages 241-261
Journal: Information Sciences - Volume 172, Issues 1â2, 9 June 2005, Pages 241-261
نویسندگان
Dong-Her Shih, Hsiu-Sen Chiang, C. David Yen,