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Savage et al., 2014 - Google Patents

Anomaly detection in online social networks

Savage et al., 2014

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Document ID
17714648502006287634
Author
Savage D
Zhang X
Yu X
Chou P
Wang Q
Publication year
Publication venue
Social networks

External Links

Snippet

Anomalies in online social networks can signify irregular, and often illegal behaviour. Detection of such anomalies has been used to identify malicious individuals, including spammers, sexual predators, and online fraudsters. In this paper we survey existing …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F21/55Detecting local intrusion or implementing counter-measures
    • G06F21/552Detecting local intrusion or implementing counter-measures involving long-term monitoring or reporting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
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    • G06F21/577Assessing vulnerabilities and evaluating computer system security
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    • G06Q10/00Administration; Management
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    • GPHYSICS
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    • G06Q30/0185Product, service or business identity fraud
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    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • HELECTRICITY
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    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • GPHYSICS
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