CSC 379 SUM2008:Week 1, Group 4: Difference between revisions

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Fighting against spam is difficult when its countermeasures come at a cost as well.  E-mail is not just storage; much resources must be devoted to its  processing, and the cost of efforts from virus scans of content to filtering all can be significant.  Aggressive countermeasures have a negative impact on productivity, when the number of “false positives” is too great (legitimate emails incorrectly filed as spam).  Examine the breadth of countermeasures available to combat spam, providing a brief review of the ethical considerations each raise, and links to online resources that cite specific instances or effects of each.
Fighting against spam is difficult when its countermeasures come at a cost as well.  E-mail is not just storage; much resources must be devoted to its  processing, and the cost of efforts from virus scans of content to filtering all can be significant.  Aggressive countermeasures have a negative impact on productivity, when the number of “false positives” is too great (legitimate emails incorrectly filed as spam).  Examine the breadth of countermeasures available to combat spam, providing a brief review of the ethical considerations each raise, and links to online resources that cite specific instances or effects of each.


==Server-Side Spam Filters==
==Spam Countermeasures==
===Server-Side Spam Filters===


These filters scan and quarantine spam before the end-user even know it exists.  
These filters scan and quarantine spam before the end-user even know it exists.  
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==Pay-per-email==
===Pay-per-email===


Problems:  Absolutely Insane
Problems:  Absolutely Insane


==Aggressive Legal Prosecution==
===Aggressive Legal Prosecution===


==Do-Not-Spam Lists==
===Do-Not-Spam Lists===


Will probably work as well as the do-not-call list, that is, barely at all.
Will probably work as well as the do-not-call list, that is, barely at all.


=="Client"-Side Spam Filters==
==="Client"-Side Spam Filters===
Many popular email systems (such as gmail and ncsu's webmail) now provide client-side filtering of emails that are determined to be spam.  These filters work by scanning emails for spam-related phrases such as "offer" or "male enhancement!!11!11!1" and quarantine emails that meet these pre-determined conditions.  The obvious negative of this system is the possibility of legitimate emails being missed/trashed because they accidentally met the conditions to be considered spam.  The major benefit of client-side filtering is the ability of the user to set the conditions rather than a corporate entity where censorship might come into play.
Many popular email systems (such as gmail and ncsu's webmail) now provide client-side filtering of emails that are determined to be spam.  These filters work by scanning emails for spam-related phrases such as "offer" or "male enhancement!!11!11!1" and quarantine emails that meet these pre-determined conditions.  The obvious negative of this system is the possibility of legitimate emails being missed/trashed because they accidentally met the conditions to be considered spam.  The major benefit of client-side filtering is the ability of the user to set the conditions rather than a corporate entity where censorship might come into play.


==Captchas (Image Recognition Logins)==
===Captchas (Image Recognition Logins)===
Captchas, aka the cryptic text filled images you must decode before you make an account/post on many webpages, offer an additional layer of security where spam or bots might pose a threat.  The thought here is that bots will not be able to read the text where a human would have no problem, therefore eliminating the bots ability to create fake accounts or posts on servers.
Captchas, aka the cryptic text filled images you must decode before you make an account/post on many webpages, offer an additional layer of security where spam or bots might pose a threat.  The thought here is that bots will not be able to read the text where a human would have no problem, therefore eliminating the bots ability to create fake accounts or posts on servers.


Recently captcha-reading-capable bots have been created that threaten the future of captchas as a security technique.
Recently captcha-reading-capable bots have been created that threaten the future of captchas as a security technique.

Revision as of 23:41, 9 July 2008

The Effects of Spam-Countermeasures

Fighting against spam is difficult when its countermeasures come at a cost as well. E-mail is not just storage; much resources must be devoted to its processing, and the cost of efforts from virus scans of content to filtering all can be significant. Aggressive countermeasures have a negative impact on productivity, when the number of “false positives” is too great (legitimate emails incorrectly filed as spam). Examine the breadth of countermeasures available to combat spam, providing a brief review of the ethical considerations each raise, and links to online resources that cite specific instances or effects of each.

Spam Countermeasures

Server-Side Spam Filters

These filters scan and quarantine spam before the end-user even know it exists.

Possible concerns - privacy, accuracy


Pay-per-email

Problems: Absolutely Insane

Aggressive Legal Prosecution

Do-Not-Spam Lists

Will probably work as well as the do-not-call list, that is, barely at all.

"Client"-Side Spam Filters

Many popular email systems (such as gmail and ncsu's webmail) now provide client-side filtering of emails that are determined to be spam. These filters work by scanning emails for spam-related phrases such as "offer" or "male enhancement!!11!11!1" and quarantine emails that meet these pre-determined conditions. The obvious negative of this system is the possibility of legitimate emails being missed/trashed because they accidentally met the conditions to be considered spam. The major benefit of client-side filtering is the ability of the user to set the conditions rather than a corporate entity where censorship might come into play.

Captchas (Image Recognition Logins)

Captchas, aka the cryptic text filled images you must decode before you make an account/post on many webpages, offer an additional layer of security where spam or bots might pose a threat. The thought here is that bots will not be able to read the text where a human would have no problem, therefore eliminating the bots ability to create fake accounts or posts on servers.

Recently captcha-reading-capable bots have been created that threaten the future of captchas as a security technique.