quartz/content/notes/13-pen-testing-2.md

title	aliases	tags
13-pen-testing-2		conp210 lecture

Intrusion detection cont.

Auditing

a thorough prces of investiagtina nd analaysing aa system for vilnerabilities

• e.g., pen testing

can also refer to logging (esp. in a databse context)

Firewalls

protect aginst network intrusions

• built in or third party
  • built in - integration quality of control. ofen light convenince features maybe no GUI
• black/whitelist
• mandatory access control on routers
  • mandatory access control
    • e.g., block a netork port
    • block icmp packets (some sytems are vulnerable)
• application level filtering for desktop systems
  • finer grained control for linking rules to applications themselves (processes)
  • router doesn't know about applications
  • may not trust an aplication to connect o a web server but do trust other.
  • dont have to block everything on that webserver
• provide altering and logging (avoid crying wolf)
  • "end user alert fatigue"

northcutt and novak - network intrusion detection

Intrustion detection systems

• often bundled with commercial routers, network storage devices (NAS, SAN) - "cloud storage within organisation"
• can also be host based (HIDS) "situated aroud network"
• intrusion can be identified by know signatures (like pattern-based virus scanners)
• can also be anomaly-based (using heuristics)

other intrusion detection topics

• file integrity checking
  • hash checking to detect changes
• backup and recovery

keeping up to date with vulnerabilites

• CERT NZ
• US-CERT
• CVE at MITRE
• NVD (us NIST national vulnerabilities database)
• conferences such as DEF CON

Sting operations

deliberately place sofware where it will interact with attacks, somewhat resembling a police sting operation.

Honeypot

• decoy service used to attact attackers
• divert attackers from real service
• identify attack origin - analyse attack - create countermeasures
• honey-nets - co-ordiniated honeypots. - analyse malware infection behaviour (malware epidemiology)
• bogus email address lists to hinder spammers
• individual e-mail address can be used to gather and analyse spam smessages

Tarpits

• similar to honeypots but for slowing attack not diverting
• often deployed as a proxy server in front of the real service