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CATEGORIES:Churchill CompSci Talks
SUMMARY:Email Spam Detection and Filtering: Keeping Your M
 ailbox Clean - William Barnes\, Churchill College
DTSTART;TZID=Europe/London:20181010T193000
DTEND;TZID=Europe/London:20181010T200000
UID:TALK110974AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/110974
DESCRIPTION:Spam is a given on the internet -- it's estimated 
 that 55% of all email is spam\, and each user rece
 ives almost 70 such emails per month [1]. It's use
 d as a vehicle for all sorts of scams: phishing\, 
 malware\, 419 advance-fee fraud and many other for
 ms of malicious message are all communicated via s
 pam emails.  However\, real-world prevalence seems
  much lower due to filtering mechanisms put in pla
 ce by email providers -- but how do they work?\n \
 nThis talk explores how a spam filter is built\, h
 ow they have changed over time\, and various piece
 s of interesting Computer Science that lurk within
  their implementation. Many of these techniques ca
 n also be generalised beyond spam for application 
 in other domains of classification.\n\n[1] Symante
 c\, https://www.symantec.com/content/dam/symantec/
 docs/reports/istr-23-2018-en.pdf
LOCATION:Wolfson Hall\, Churchill College
CONTACT:Matthew Ireland
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