Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/478882
Title: Development of Self Adaptive Embedded Email Spam Isolation Technique
Researcher: Amandeep Singh
Guide(s): J S Sohal
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
University: I. K. Gujral Punjab Technical University
Completed Date: 2021
Abstract: Emails are used for general purpose communication and document sharing around the newlineworld by individuals and corporate. Cyber criminals use emails for launching cyberattacks, newlinestealing confidential information, misleading advertisements, virus attack, newlinephishing attack, RANSOMWARE attack. The emails that are in bulk and are intended for newlinecyber-attacks, phishing or with wrong intentions are termed as spam mails. Due to spam newlinemails users are derived into a situation where they become victim to such an attacks. In newlineall situations user is a looser because, even if the user escapes attacks through spam mail, newlineuser time and internet is wasted in scanning and analyzing these mails. Spam mails cause newlinehuge amount of revenue loss each year. Since these mails fill the mail box of the user, it newlineis difficult to eliminate spam mails manually. There are many methods to classify mails newlineas HAM or SPAM. Some of the prominent methods for SPAM classification are, newlineblocking emails from blacklisted IP addresses, machine learning and non-machine newlinelearning. This research explores effective and adaptive method to counter the threat of newlinespam mails. newline
Pagination: All pages
URI: http://hdl.handle.net/10603/478882
Appears in Departments:Department of Computer Applications

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01_title.pdfAttached File98.19 kBAdobe PDFView/Open
02_prelim page.pdf251.68 kBAdobe PDFView/Open
03_content.pdf176.97 kBAdobe PDFView/Open
04_abstract.pdf96.27 kBAdobe PDFView/Open
05_chapter1.pdf423.11 kBAdobe PDFView/Open
06_chapter2.pdf225.07 kBAdobe PDFView/Open
07_chapter3.pdf178.24 kBAdobe PDFView/Open
08_chapter4.pdf223.92 kBAdobe PDFView/Open
09_chapter5.pdf173.77 kBAdobe PDFView/Open
10_chapter6.pdf95.87 kBAdobe PDFView/Open
11_chapter7.pdf173.82 kBAdobe PDFView/Open
12_chapter8.pdf353.27 kBAdobe PDFView/Open
13_chapter9.pdf329.97 kBAdobe PDFView/Open
14_chapter10.pdf109.96 kBAdobe PDFView/Open
15-chapter11.pdf270.27 kBAdobe PDFView/Open
16_chapter12.pdf263.35 kBAdobe PDFView/Open
17_chapter13.pdf581.68 kBAdobe PDFView/Open
18_chapter14.pdf403.01 kBAdobe PDFView/Open
19_annexure.pdf2.6 MBAdobe PDFView/Open
80_recommendation.pdf277.82 kBAdobe PDFView/Open
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