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信息安全专业教学资源(讲稿)An Introduction to Artificial Immune Systems(ES2001)

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信息安全专业教学资源(讲稿)An Introduction to Artificial Immune Systems(ES2001)
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An Introduction to Artificial Immune Systems ES2001 Cambridge.December 2001. Dr.Jonathan Timmis Computing Laboratory University of Kent at Canterbury CT2 7NF.UK Timmis@ukc.ac.正 http:/www.cs.ukc.ac.uk/people/staff/jt6

An Introduction to Artificial Immune Systems Dr. Jonathan Timmis Computing Laboratory University of Kent at Canterbury CT2 7NF. UK. J.Timmis@ukc.ac.uk http:/www.cs.ukc.ac.uk/people/staff/jt6 ES2001 Cambridge. December 2001

Overview of Tutorial What are we going to do? 米First Half: Describe what is an AIS .Why bother with the immune system? Be familiar with relevant immunology 张Second Half: Appreciation of were AIS are used .Be familiar with the building blocks of AIS 米Resources

Overview of Tutorial What are we going to do?: First Half: Describe what is an AIS Why bother with the immune system? Be familiar with relevant immunology Second Half: Appreciation of were AIS are used Be familiar with the building blocks of AIS Resources

Immune metaphors --一一--一一--一 Other areas Idea! Idea Immune System Artificial Immune Systems

Immune metaphors Immune System Idea! Idea ‘ Other areas Artificial Immune Systems

Why the Immune System? -- 米Recognition ◆Anomaly detection ◆Noise tolerance 米Robustness Feature extraction Diversity Reinforcement learning 米Memory 米Distributed 米Multi-layered 装Adaptive

Why the Immune System? Recognition Anomaly detection Noise tolerance Robustness Feature extraction Diversity Reinforcement learning Memory Distributed Multi-layered Adaptive

Artificial Immune Systems 一--一一--一一-0-一一--一一--一一 AIS are computational systems inspired by theoretical immunology and observed immune functions,principles and models. which are applied to complex problem domains(de Castro Timmis,2001)

Artificial Immune Systems AIS are computational systems inspired by theoretical immunology and observed immune functions, principles and models, which are applied to complex problem domains (de Castro & Timmis, 2001)

Some History ---一-- -一一--一一-0-一一- Developed from the field of theoretical immunology in the mid 1980's. ◆Suggested we‘might look'at the IS *1990-Bersini first use of immune algos to solve problems Forrest et al-Computer Security mid 1990's Hunt et al,mid 1990's-Machine learning

Some History Developed from the field of theoretical immunology in the mid 1980’s. Suggested we ‘might look’ at the IS 1990 – Bersini first use of immune algos to solve problems Forrest et al – Computer Security mid 1990’s Hunt et al, mid 1990’s – Machine learning

Scope ofAIS Fault and anomaly detection Data Mining (machine learning,Pattern recognition) 张Agent based systems 米 Scheduling 装Autonomous control 张Optimisation 装Robotics Security of information systems

Scope of AIS Fault and anomaly detection Data Mining (machine learning, Pattern recognition) Agent based systems Scheduling Autonomous control Optimisation Robotics Security of information systems

-一一--一--- -一一--一一-- Part I-Basic Immunology

Part I – Basic Immunology

Role of the Immune System ---一一-0-一一--一一--一一--一一--一一---一-- Protect our bodies from infection Primary immune response .Launch a response to invading pathogens Secondary immune response Remember past encounters Faster response the second time around

Role of the Immune System Protect our bodies from infection Primary immune response Launch a response to invading pathogens Secondary immune response Remember past encounters Faster response the second time around

How does it work? ------一---一---一一-----------------一---一---一一-- MHC protein Antigen APC (夏) Peptide ()( 感 T-cell B-cell (v) Activated T-cell 。Lymphokines Activated B-cell (plasma cell) (vn)

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