Data How Used for Security and Performance Possible Privacy ...
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Security o Spoofing detection: Can be used to determine whether the purported source of network traffic is legitimate or spoofed o Identification of “bulletproof hosting domains” (useful for takedown) Performance o Traffic engineering
Possible Privacy Risks to Individuals
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Not many (?): Routing data reveals properties of the network topology, but nothing in particular about user behavior
• •
What destinations does an individual user visit? What applications are they using, when, and for how long? Human behavior: o Is the user at home? Awake or asleep? o What devices are they using, and when?
Traffic Data • IPFIX/NetFlow (“Metadata”) • High-level statistics about individual connections (often highly sampled in large ISPs)
Security o Detection of malware, botnets, anomalous activity Performance o Traffic engineering (ensuring that certain traffic flows do not congest links) o Provisioning and planning Security o Malware, bot detection o Other anomalous activities o Early warning for attacks (“DNS counter-intelligence”) Security o Intelligence (fraud, abuse) o Traffic scrubbing Performance o Application and protocol developers (scalability testing, user demand) o Implementation debugging Security o Denial of service (DoS) detection o Traffic anomalies Performance o Provisioning
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• • •
Activity patterns What sites are visited Possibly which web pages are visited (fingerprinting)
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[End-to-end encryption addresses some, but not all privacy risks.] o Many IoT devices do not encrypt o SNI header in TLS handshakes o TLS fingerprinting
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Not many. Possibly some information about utilization/activity if byte counts are collected persubscriber
