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Identifying Usolicited Bulk E-mail Messages with Header Field Comparisons

ABSTRACT

The ever-increasing unsolicited bulk e-mail (UBE) flood threatens the resources of individuals and organisations. The usual protection method is filtering out the UBE messages. This paper presents fifteen header field analysis criteria, which were able to distinguish between legitimate and UBE messages in two legitimate and two UBE corpora. Eight of the identified criteria were strong and seven moderate indicators of either a UBE or a legitimate message. These results enable useful additions to existing UBE filtering techniques and pave way for special applications combining header field based indicators to detect UBE messages without analysing the message payload.

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

Keywords

A

AI
APT

C

C2
C2S
CDX
CIA
CIP
CPS

D

DNS
DoD
DoS

I

IA
ICS

S

SOA

X

XRY

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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