Case study Compute privacy

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Transcript Case study Compute privacy

Intrusion Detection
Prepared by: Mohammed Hussein
Supervised by: Dr. Lo’ai Tawalbeh
NYIT- winter 2007.
WHAT IS SECURITY
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ISO 7498-2 defines five security services
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Confidentiality (secrecy)
Authentication (identify verification)
Integrity
Access control
Users also would likely include
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Preventing spam
Preventing denial of service
Privacy
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Security Terminology
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Vulnerabilities
– security flaws in systems
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Attacks
– means of exploiting vulnerabilities
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Countermeasures
– technical or procedural means of addressing
vulnerabilities or thwarting specific attacks
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Threats
– motivated adversaries capable of mounting
attacks which exploit vulnerabilities
Types of violation
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Attack
– Attempts to exploit a vulnerability
– Ex: denial of service, privilege escalation
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Intrusion
– Masquerading as another legitimate user
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Misuse
– User abuses privileges
– Often called the “insider threat”
Intrusion
“Any intentional event where an intruder
gains access that compromises the
confidentiality, integrity, or availability of
computers, networks, or the data residing
on them.”
Credit: CERT-CC Security Improvement Module 8: Responding to Intrusions
Why Systems Are Vulnerable
Contemporary Security Challenges and Vulnerabilities
Why Systems Are Vulnerable (Continued)
Internet Vulnerabilities:
• Use of fixed Internet addresses through use of
cable modems or DSL
• Lack of encryption with most Voice over IP (VoIP)
• Widespread use of e-mail and instant messaging
(IM)
Intrusion Detection and Computer
Security
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Computer security goals:
– Confidentiality, integrity, and availability
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Intrusion is a set of actions aimed to compromise these
security goals
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Intrusion prevention (authentication, encryption, etc.)
alone is not sufficient
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Intrusion detection is needed
Intrusion Examples
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Intrusions: Any set of actions that threaten
the integrity, availability, or confidentiality of
a network resource
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Examples
– Denial of service (DoS): attempts to starve a
host of resources needed to function correctly
– Worms and viruses: replicating on other hosts
Intrusion Detection
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Intrusion detection:
The process of monitoring and
analyzing the events occurring in a computer and/or network
system in order to detect signs of security problems
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Primary assumption:
User and program activities can be
monitored and modeled
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Steps
– Monitoring and analyzing traffic
– Identifying abnormal activities
– Assessing severity and raising alarm
IDS Architecture
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Sensors (agent)
– to collect data and forward info to the analyzer
 network packets
 log files
 system call traces
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Analyzers (detector)
– To receive input from one or more sensors or from
other analyzers
– To determine if an intrusion has occurred
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User interface
– To enable a user to view output from the system or
control the behavior of the system
Intrusion Detection Model
Activity
Data
Source
Operator
Sensor
Event
Notification
Sensor
Event
Analyser
Response
Alert
Security
Policy
Administrator
Credit: IETF: Intrusion Detection Message Exchange Requirements (Internet Draft)
Manager
Intrusion Detection Systems
Detect intrusive behaviour in an
automated fashion
 Monitor activity both across networks
(NIDS) and within hosts (HIDS)
 Analyse activity for signs of intrusion
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– Signature based
– Anomaly based
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Respond to predetermined triggers by:
– Blocking specific actions
Common Defense Strategies
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Firewalls
Intrusion Detection Systems
Anti-virus technology (in hosts and in mail
gateways)
Anti-spam technology (in hosts and in mail
gateways)
Periodic penetration testing (enterprise
nets)
Centralized patch management (enterprise
nets)
Anti-DOS mechanisms (ISPs)
Defining Policy
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Consider this example
– A hospital deploys a database system for
patient records. The system consists of a
centralized DB server accessed by client
systems in the hospital. Clients access the
information through a network of connected
PCs and via wireless PDAs
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What sorts of policy statements can we
make about the hardware? Software?
Users?
Defining Policy
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Possible statements
– The DB server software will be kept up to date
– Unused network services (ports) on the DB server will
be disabled
– Wireless access will employ strong cryptographic
protocols
– Users are prohibited from examining records of
patients not in their care
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Machine readable policy is very hard problem
– Particularly for misfeasance (i.e. insiders)
Info
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Case studyCourse :Intrusion detection and
hacker exploits
Presented to: Dr . Lo’ai Tawalbeh
 Homepage: http://www.isrc.qut.edu.au/about/pe
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ople/aclark/questnet2003-ac-ids.ppt
Presented to: Dr. lo’ai tawalbeh
 Course :Intrusion detection and hacker
exploits
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