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Architectural Risk Analysis - Building Secure Software - Lecture Slides, Slides of Software Engineering

Some concept of Building Secure Software are Anti-Phishing Software, Architectural Risk Analysis, Awareness And Training, Buffer Overflows , Wikipedia, Building Secure Software, Command Injection, Independence In Multiversion Programming. Main points of this lecture are: Architectural Risk Analysis , Security Requirements, Abuse Cases, Code Review, Penetration Testing, Operations, Security, Test Plans, Architecture, Requirement

Typology: Slides

2012/2013

Uploaded on 04/26/2013

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Download Architectural Risk Analysis - Building Secure Software - Lecture Slides and more Slides Software Engineering in PDF only on Docsity!

Architectural Risk Analysis

Application of Touchpoints

Requirement andUse cases Architectureand Design Test Plans Code (^) Test ResultsTests and Feedback fromthe Field

5. Abuse cases 6. Security Requirements 2. Risk Analysis

External Review

4. Risk-Based Security Tests 1. Code Review (Tools) 2. Risk Analysis 3. Penetration Testing 7. Security Operations

Software Requirement Specification

  • Functional requirements
    • Features a software has
    • Implied requirements
  • Non-Functional requirements
    • Performance, reliability, security, etc.
    • Effects quality of product
  • Regulatory requirements
    • Law, standards, organizational regulation, contract, etc.
  • External interface requirements
    • Interaction with other software and hardware
  • Acceptance criteria
    • Confirm that the software is working according to the client’s specification

Review SRS

  • Cost effective: getting the requirements right
  • Manual review: team of experts (at least 3) for 1.5- 2 hours/session
  • Detection rate of good review: 60-90%
  • More cost effective to do requirement review than code testing alone

Security Risk Analysis

  • Risk analysis: identifying and ranking risks
  • Risk management: number of discrete risk analysis exercises, tracking risk, mitigating risks
  • Need: understanding of business impact

Security Risk Analysis

  • Learn about the target of analysis
  • Discuss security issues
  • Determine probability of compromise
  • Perform impact analysis
  • Rank risks
  • Develop mitigation strategy
  • Report findings

Discuss security issues

  • Argue about how the product works, areas of disagreement
  • Identify possible vulnerabilities (lists, tools)
  • Identify exploits and protection
  • Understand security controls (current, planned)

Determine probability of

compromise

  • Attack scenarios
  • Historical data
  • Balance control against threat

Rank risk

  • Connect to business goals
  • Regulatory requirements
  • Customer’s needs
  • Capabilities

Develop mitigation strategy

  • Countermeasures
    • Technical
    • Societal
    • Ecomonics
  • Capabilities and preferences

Traditional Risk Analysis

  • Financial loss-based
    • Balance cost vs. loss
  • Mathematically derived “risk rating”
    • Threat, probability, and impact
  • Qualitative assessment
    • Knowledge-driven or anecdotal factors
    • Social Impact

Terminology

  • Asset: object of protection
  • Risk: probability that the asset will suffer an attack
  • Threat: the actor (agent) who is the source of danger
  • Vulnerability: defect or weakness in the system
  • Countermeasures or safeguards: management, operational, and technical control to protect confidentiality, integrity, and availability
  • Impact: impact on the organization
  • Probability: likelihood that the event will occur (high, medium, low)

Risk Calculation

  • Financial loss: ALE = SLE x ARO
    • ALE – annualized loss expectancy
    • SLE – single loss expectancy
    • ARO – annualized rate of occurrence
  • Distinguish between attacks based on frequency of occurance
  • Qualitative risk assessment (e.g., loss of reputation, loss of trust, etc.)
  • ROI: return-on-investment
    • Note: security is more like insurance… it will never hit a “big payoff”

Limitations of Traditional Approaches

  • Hard to find correct data for statistical distribution
  • Do not necessarily provide an easy guide
  • Modern applications are complex: contextual variability of risk