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Record W2156805595 · doi:10.1109/acsac.2006.11

Addressing SMTP-Based Mass-Mailing Activity within Enterprise Networks

2006· article· en· W2156805595 on OpenAlexaff
David Whyte, Paul C. van Oorschot, Evangelos Kranakis

Bibliographic record

VenueAnnual Computer Security Applications Conference/Proceedings of the annual Computer Security Applications Conference · 2006
Typearticle
Languageen
FieldComputer Science
TopicNetwork Security and Intrusion Detection
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer scienceComputer securityThe InternetServerComputer networkSoftware deploymentBotnetPhishingEnterprise private networkDomain Name SystemWorld Wide WebOperating system

Abstract

fetched live from OpenAlex

Malicious mass-mailing activity on the Internet is a serious and continuing threat that includes mass-mailing worms, spam, and phishing. A mechanism commonly used to deliver such malicious mass mail is an SMTP-engine, which turns an infected system into a malicious mail server. We present a technique that enables, within a single mailing attempt in many popular network environments, detection and containment of (even zero-day) SMTP-engine based mass-mailing activity. Contrary to other mass-mailing detection techniques our approach is content independent and requires no attachment processing, network traffic correlation, statistical measures, or system behavioral analysis. It relies instead on the observation of DNS MX queries within the enterprise network. This stateless detection technique requires minimal computational resources making it ideally suited for real-time wire-speed deployment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0060.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.243
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2006
Admission routes1
Has abstractyes

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