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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

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Analysis of E-mail Account Probing Attack Based on Graph Mining.

Yi Wen¹, Xingshu Chen^2,3, Xuemei Zeng⁴

¹College of Cybersecurity, Sichuan University, Chengdu, 610065, China.

Scientific Reports

|May 1, 2020

Summary

This summary is machine-generated.

This study analyzes email account probing attacks using graph mining. It identifies a new attack pattern that evades security devices, aiding in future detection and defense strategies.

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Area of Science:

Computer Science
Cybersecurity
Network Security

Background:

Email is a primary vector for malware, phishing, and advanced persistent threats.
High-reputation email accounts are frequent targets for probing attacks.
Understanding attack patterns is crucial for effective defense.

Purpose of the Study:

To analyze email account probing patterns within a campus network.
To identify and define a novel type of email account probing attack.
To understand the characteristics of these attacks from group and individual perspectives.

Main Methods:

Graph mining techniques applied to email account probing logs.
Analysis of dataset characteristics across multiple dimensions.
Characterization of attack behaviors for both probing groups and individuals.

Main Results:

Identification of a previously undefined email account probing attack.
Elucidation of the specific probing patterns employed by this attack.
Discovery of distinct, opposing characteristics between group and individual attacks.
Demonstration of how these patterns enable evasion of security devices.

Conclusions:

The identified probing patterns and characteristics pose significant risks to email users and administrators.
The findings provide a basis for developing enhanced detection and defense mechanisms against sophisticated, distributed email attacks.