02 - spam filtering using spam mail communities

02 - spam filtering using spam mail communities

02 - spam filtering using spam mail communities

... where a mail is classified as either legitimate, porn -spam or other -spam, and labeling the mails mapping to the latter two communities as spam. Communities of mails may be as precise as ‘mails ... not-so-explicit communities that are machine-identifiable such as ‘porn-mails bearing links to xyz.com’ etc. None of the current approaches classify mails to such extents. Some cl...
Ngày tải lên : 22/03/2014, 22:25
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04 - collaborative spam filtering using e-mail networks

04 - collaborative spam filtering using e-mail networks

... linearly with its e -mail activity level—that is,its degree in the network. A B C D 2 e-mails (0.2) 10 e-mails (0.5) 9 e-mails (1.0) 8 e-mails (0.8) 5 e-mails (0.25) 5 e-mails (0.25) 7 e-mails (1.0) Trust ... such collaborative spam- filtering mechanisms can be implemented as plug-ins to popular e -mail programs such as Microsoft Outlook. COLLABORATIVE SPAM- FILTERING MECHANISMS Our s...
Ngày tải lên : 22/03/2014, 22:25
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03 - spam filtering based on preference ranking

03 - spam filtering based on preference ranking

... emails and spam emails specified by users, so that the ISP/end users can deal with spam emails at filtering points. We designed three filtering points to classify nominated emails into spam ... "junk" email messages. Spam can often be referred to as unsolicited commercial e -mail or unsolicited bulk email; however, not all unsolicited e-mails are necessarily spam...
Ngày tải lên : 22/03/2014, 22:25
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05 - current and new developments in spam filtering

05 - current and new developments in spam filtering

... that separate spam from non- spam traffic. Several key workload aspects differentiate spam traffic; including the email arrival process, email size, number of recipients per email, and popularity ... experimental measures include spam recall (SR), spam precision (SP), F1 and accuracy (A) (Fig. 1). Spam recall is effectively spam accuracy. A legitimate email classified as sp...
Ngày tải lên : 22/03/2014, 22:25
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06 - automatic personalized spam filtering through significant word modeling

06 - automatic personalized spam filtering through significant word modeling

... -spam_ score = ∑ W Si (sum is over all significant spam words in e -mail) -nonspam_score = ∑ W Ni (sum is over all significant non- spam words in e -mail) -If (s * spam_ score > nonspam_score) ... the spam and non -spam e-mails. This statistical model of words can then be used to classify a given e -mail by computing its spam score and non -spam score values, wher...
Ngày tải lên : 22/03/2014, 22:25
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14 - improving web spam classifiers using link structure

14 - improving web spam classifiers using link structure

... 2. 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 % 0 -1 0 % 1 0-2 0 % 2 0-3 0 % 3 0-4 0 % 4 0-5 0 % 5 0-6 0 % 6 0-7 0 % 7 0-8 0 % 8 0-9 0 % 9 0-1 0 0% 1 00% spam non -spam Figure 2: In-link spam distribution for spam and non- spam sites. Outgoing ... may 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 0 -1 0 % 1 0-2 0 % 2 0-3 0 % 3 0-4 0 % 4 0-5 0...
Ngày tải lên : 22/03/2014, 22:26
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Báo cáo khoa học: "The Contribution of Stylistic Information to Content-based Mobile Spam Filtering" potx

Báo cáo khoa học: "The Contribution of Stylistic Information to Content-based Mobile Spam Filtering" potx

... varies between spam and non -spam messages. For in- stance, non-spammers often use special characters to create emoticons to express their mood, such as “ :-) ” (smiling) or “T T” (crying), whereas spam- mers ... 2005). 2.3 Part-of-speech n-grams: POS Following the work of Argamon-Engelson et al. (1998), Koppel et al. (2003), Santini (2004) and Gamon (2004), we extract part-of-speech n...
Ngày tải lên : 31/03/2014, 00:20
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Báo cáo khoa học: "A Comparison of Event Models for Naive Bayes Anti-Spam E-Mail Filtering" potx

Báo cáo khoa học: "A Comparison of Event Models for Naive Bayes Anti-Spam E-Mail Filtering" potx

... corpus 1  1  1 100 99 Ling -Spam corpus  85 —  if-MI  - - - -  tftf-MI   Multi-variate Bernoulli  80 — 0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 Number of attributes Figure 2: Spam recall ... text classifier in the context of anti- spam E -mail filtering, using two different statistical event models: a mul- ti-variate Bernoulli model and a multi- nom...
Ngày tải lên : 31/03/2014, 20:20
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Spam mail chứng thực và mã hóa

Spam mail chứng thực và mã hóa

... RSA, Diffie-Hellman và DSS  Mã hóa đối xứng CAST-128, IDEA và 3DES  Hàm băm SHA-1 5 PGP: (Pretty Good Privacy) Hoạt động xác thực của PGP:  Người gửi tạo mẩu tin.  Sử dụng SHA-1 để sinh hash ... CA 12 S/MIME 13 Demo 14 Thank you ! 15 Chứng Thực và Mã Hóa Bảo mật email dựa trên cơ sở mã hóa. Có 2 phương pháp bảo mật cho email:  Chứng thực.  Mã hóa. 2 PGP: (Pretty Good Privacy)  PGP (Pr...
Ngày tải lên : 14/09/2012, 08:40
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Bảo mật mail và Spam Mail

Bảo mật mail và Spam Mail

... AntiSPAM  eWall  GFi Mail Essential and Mail Security Barracuda Spam Firewall 300 16 GFi MailEssentail 17 Chức năng GFi MailEssentail 18  Chống Spam bằng cơ chế Bayesian  Ngăn chặn Spam ... Tổng Quan  Spam mail hay còn gọi là thư rác là các thư quảng cáo, giới thiệu hoặc do virus mà người nhận không mong đợi.  Spam mail làm tràn ngập hộp thư người dùng với những e...
Ngày tải lên : 14/09/2012, 08:40
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