Proactive Computing: Artificial Immune Systems Rog

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Proactive Computing Artificial Immune Systems
Rogério de LemosUniversity of Kent at
Canterbury

• Brian Bell (BAE Systems - Sowerby, UK)
• Rogério de Lemos, Jon Timmis (University of Kent
  at Canterbury, UK)
• Mark Neal (University of Wales, Aberystwyth, UK)
• Andy Tyrrell (University of York, UK)

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Biological Inspired Computing

• Autonomic computing (IBM)
• nervous system which regulates the basic
  functions of the body
• Planetary computing (HP)
• Self-healing systems (Software Engineering
  Community)
• Homeostasis (Mary Shaw)
• a system acts to maintain a stable internal
  environment despite external variations
• react to change rather than desired states
• Artificial immune systems
• fault-tolerance, intrusion virus detection

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Motivation

• Provision of means for a system to cope with
  changes
• design time (evolution)
• building new systems from existing ones
• run time (adaptability)
• adapting to changes that occur in the operating
  environment
• Some approaches rely on learning
  capabilities/emergent behaviours
• adjust behaviour/structure to new needs without
  human intervention

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Artificial Immune Systems (AIS)

• AIS are adaptive systems inspired by theoretical
  immunology and observed immune functions,
  principles and models, which are applied to
  complex problem domains
• What does the immune system offer?
• pattern recognition
• robust and distributed
• adaptive and diverse
• learning and memory

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Proactive Computing

• Fault tolerance
• Learning capabilities may enable the system to
  react to unexpected circumstances
• it removes the predictability aspect
• System evaluation
• how much can these learning capabilities be
  trusted?
• how to protect the system from undesirable
  decisions?

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Themes

• Artificial Immune Systems applied to Fault and
  Intrusion Tolerance
• e.g., evolution of error detectors
• Biologically Inspired Engineering
• embryonics, evolvable hardware, immunotronics,
  etc.
• Biologically Inspired Techniques for Autonomous
  Dependable Systems
• exploitation of homeostasis
• Swarm Techniques applied to Intrusion Tolerance
  in Mobile Systems
• coordination of countermeasures to attacks