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RSRS Architecture Study. Calton Pu and Doug Blough CERCS/Georgia Tech. RSRS Study Outline. Model of self-regenerative systems Analysis and meta-model based on feedback/reflection: (MLA) loop Comparison of SRS projects (by area) Event-based core functional interfaces - PowerPoint PPT Presentation
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RSRS Architecture Study
Calton Pu and Doug BloughCERCS/Georgia Tech
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RSRS Study Outline Model of self-regenerative systems
Analysis and meta-model based on feedback/reflection: (MLA) loop
Comparison of SRS projects (by area) Event-based core functional interfaces
Self-regenerative (MLA) functionality Area-specific functionality
Project-specific capabilities Synthesis and integration of interfaces
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Self-Regeneration Meta-Model
Focus on self-regeneration process Based on feedback and reflection Monitor-Learning-Actuator (MLA) loop MLA loop appears in several system levels
Monitor Learning Actuator
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Model ofBiologically-Inspired
Diversity
Biologically-InspiredDiversity Tools
(Genesis, Dawson)
Cognitive Immunity and Self-Healing
GSRGSR
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Biologically-InspiredDiversity Tools
Cognitive Immunity and Self-Healing(Learn/Repair, Model-Based, AWDRAT, Cortex)
Reasoning About Insider Threats
ApplicationsApplications Granular, Scalable Redundancy
AttacksAtta
cks
Monitor LearningActuator
BID
Model of Cognitive Immunity and Self-Healing
GSRGSRGSRGSR
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Sensors & Sources
Model of Granular, Scalable Redundancy
Biologically-InspiredDiversity Tools
Reasoning About Insider Threats
Applications
Cognitive Immunity and Self-Healing
GSR
GSRGSR
GSR GSR
Sensors & Sources
Event Proc. (QuickSilver)
Granular, Scalable Redundancy Object Mgmt
(SAIIA, IITSR)
GSRGSR
GSR Communications(QuickSilver)
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Model of Reasoning About Insider Threats
Reasoning About Insider Threats
(Detect & Prevent, Mitigate,Asbestos)
Cognitive Immunity and Self-Healing
GSRGSR
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Biologically-InspiredDiversity Tool
(Genesis, Dawson)
Cognitive Immunity and Self-Healing Fabric(Learn/Repair, Model-Based, AWDRAT, Cortex)
Reasoning About Insider Threats
(Detect & Prevent, Mitigate)
ApplicationsApplications
Granular, Scalable,Redundancy
(SAIIA, IITSR, QuickSilver)
Attacks
Att
acks
Attacks
Monitor Learning Actuator
GSRGSR
RSRS Model Summary
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Core Functional Interface Comparison by Area
Core functionality for each area Self-regenerative (MLA) functionality
Cognitive immunity and self-healing Reasoning about insider threats
Area-specific functionality Biologically-inspired diversity Granular, scalable redundancy
Project-specific capabilities
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Biologically-Inspired Diversity Interfaces
Self-regeneration (MLA) functionality Test and evaluation environment
Area-specific functionality Create diverse representations of
programs in response to known and unknown attacks
Provide a “measure” of diversity (estimated degree of resistance to known attacks)
Project-specific functionality
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Cognitive Immunity and Self-Healing Interfaces
Self-regeneration (MLA) functionality Monitor interface: evaluate the defensive
actions during attacks on applications Learning interface: match attacks and
defenses (diverse code generation tools) Regeneration Actuator interface: replace
vulnerable code Area-specific functionality Project-specific functionality
Learn/Repair: embedded data structure repair tools
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Granular, Scalable Redundancy Interfaces
Self-regeneration (MLA) functionality Regeneration in multicast, gossip protocols
Area-specific functionality Redundant communication services
(pub/sub, multicast) Redundant event processing Redundant object management services
Project-specific functionality
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Reasoning About Insider Threats Interfaces
Self-regeneration (MLA) functionality Monitor interface: detect potential/actual
insider threats Learning interface: refine detection and
guide adaptive responses Regeneration Actuator interface:
implement adaptive policies in response Area-specific functionality Project-specific functionality
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We Need Your Help
Give comments and feedback on the model and core functional interfaces If it doesn’t fit your project well
Provide concrete information on the functional interfaces of your project Core: Self-regeneration (MLA) interface
and area-specific interface Project-specific interfaces
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