By Guido Schryen
This publication examines anti-spam measures when it comes to their potentials, obstacles, merits, and downsides. those components be sure to which volume the measures can give a contribution to the relief of unsolicited mail ultimately. It examines legislative, organizational, behavioral, and technological anti-spam measures, together with an perception into their effectiveness. moreover, it provides the conceptual improvement and research of an infrastructural e mail framework, which positive aspects any such complementary software, and considers deployment issues.
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Additional resources for Anti-Spam Measures: Analysis and Design
Even if all these recommendations for traceability and accountability are followed, they do not eﬀectively address the speciﬁc scenario where spam is sent out from infected computers of innocent users. Then, the user’s computer would be identiﬁed as a spam source, leading to this particular computer being ﬁxed, but not to the real spammer being identiﬁed. In order to protect local users from receiving spam e-mails, MTAs should be able to refuse e-mails from a particular host or a group of hosts.
Although an address literal containing the IP address of the source, determined using the TCP connection, is also added, often no plausibility check is performed. Less probably, but not totally improbably, the IP address might be spoofed (IP spooﬁng). Further- 38 3 The e-mail delivery process and its susceptibility to spam more, as many hosts get a dynamic IP address from their Internet provider, it is impossible to determine the sending host after the TCP/IP connection unless a log ﬁle stores the mapping between the hosts and the IP addresses.
Legal fees When organizations aim at prosecuting spammers, legal fees including costs for lawyers emerge . Opportunity costs Spam e-mail can result in some types of opportunity costs: If an e-mail system does not work properly or at all due to spam ﬂoods, it may happen that order e-mails from customers are lost (direct loss of revenue). 7 minutes by 690, we get 483 minutes or 8,05 hours. This seems to be the working time per day, not per week. Consequently, we would need a full-time IT staﬀ person for about 5 ∗ 690 = 3450 employees.
Anti-Spam Measures: Analysis and Design by Guido Schryen