Collective Perception Provisioning for Dynamic IoT Security
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Solution Overview
Problem
Existing communication networks for IoT lack effective mechanisms for dynamically adapting privacy and security settings based on context and purpose, failing to assimilate global perception inputs across multiple IoT sessions and distribute them appropriately, leading to inadequate security and privacy management.
Innovation Solution
A method and device for provisioning collective perception that receives perception data from multiple communication entities, assimilates it into a global collective experience record table, processes it to create composite perception information, and determines distribution information to be shared with relevant entities, enabling dynamic adaptation of security and privacy settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems use static access control mechanisms, then implementation is simple, but they fail to adapt dynamically to changing context and purpose in IoT communication
Solution Approach 1:
The system implements dynamic access control by continuously adapting security and privacy settings based on real-time context, purpose, and collective perception data from multiple communication entities. The access control mechanism transitions from static to dynamic, adjusting permissions and security levels automatically as communication conditions change
Solution Approach 2:
A perception assimilation and distribution system acts as an intermediary layer between communication entities and security policies. This intermediary collects perception data, assimilates it into global collective perception, and distributes relevant information to enable dynamic adaptation without requiring complex changes at each endpoint device
2Reliability
If global perception inputs are collected from multiple IoT sessions, then security and privacy management improves, but the mechanism for assimilating and distributing this data across networks is undefined
Solution Approach 1:
The perception assimilation mechanism serves multiple functions: collecting perception data from diverse IoT sessions, assimilating it into a unified global collective perception model, distributing relevant information to communication entities, and enabling dynamic adaptation. This multi-functional approach consolidates complexity into a single universal system rather than requiring separate mechanisms for each function
Solution Approach 2:
The system implements feedback loops where perception data from communication sessions is continuously collected, assimilated into global collective perception, and then distributed back to entities. This feedback mechanism enables continuous refinement and adaptation of security and privacy settings based on accumulated experience across multiple IoT sessions
3Extent of automation
If security policies are implemented as ECA rules in a context-aware framework, then automated policy enforcement is achieved, but the framework cannot dynamically adapt to changes in context, trust-level, and environment during interaction
Solution Approach 1:
The system enhances automated ECA rule enforcement with dynamic adaptation capabilities. Security policies are not statically enforced but automatically adjusted in real-time based on changing context, trust-level, and environmental conditions. The automation maintains itself by dynamically updating rules based on collective perception feedback
Solution Approach 2:
The framework enables self-service automation where the system automatically monitors context changes, updates trust-level assessments, and adjusts security policies without external intervention. The perception assimilation system serves itself by automatically collecting, processing, and distributing information needed for dynamic policy adaptation
Data Source
AI summary
A method and device for provisioning collective perception in a communication network is disclosed. The method includes receiving a perception data from a plurality of communication entities in the communication network upon satisfaction of at least one of predefined criteria. The method further includes assimilating the perception data in a global collective experience record table, based on at least one perception data category associated with the predefined criteria. The method includes processing the perception data associated with each of the at least one perception data category to create composite perception information based on entries in the global collective experience record table. The method further includes determining perception distribution information to be shared with at least one communication entity from the plurality of communication entities, based on the composite perception information. The method includes transmitting the perception distribution information to the at least one communication entity, in response to determining.