Adaptive ACL Enforcement for IoT Lateral Movement Control
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Solution Overview
Problem
Existing network security methods struggle to effectively manage access control in dynamic and flat networks with numerous devices, particularly IoT devices, due to manual and static segmentation approaches that fail to differentiate device types and lead to lateral spread of attacks.
Innovation Solution
Implementing adaptive access control management through dynamically generated and customized access control lists (ACLs) at network enforcement points, such as switches, based on entity characteristics, to enforce granular access rules and prevent lateral movement of attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual and static segmentation approaches are used, then network access control can be implemented, but it fails to differentiate device types and leads to lateral spread of attacks
Solution Approach 1:
The patent implements dynamic access control lists that automatically adjust based on real-time network conditions and device characteristics. The system continuously monitors device types, vulnerabilities, and attack patterns, then dynamically generates and updates ACLs to provide adaptive security responses rather than static rules
Solution Approach 2:
The system changes security parameters by analyzing device characteristics such as device type, vulnerability profiles, and network behavior patterns. Based on these parameter analyses, the system generates customized ACLs with specific parameters tailored to each device's security needs, enabling differentiation between various device types
2Adaptability or versatility
If dynamic and customized access control lists are implemented, then granular access rules can be enforced, but system complexity increases
Solution Approach 1:
The system performs self-service by automatically generating, configuring, and updating access control lists without requiring manual intervention. The patent implements automated processes that monitor network devices, analyze their characteristics, and autonomously create customized ACLs, thereby reducing management complexity despite increased granularity
Solution Approach 2:
The system performs preliminary actions by pre-configuring access control rules based on predicted device characteristics and potential security threats. The patent implements mechanisms that prepare and deploy ACLs in advance before actual security incidents occur, streamlining the enforcement process
3Extent of automation
If continuous monitoring and automated ACL generation are performed, then adaptive access control is achieved, but computational resources and time are consumed
Solution Approach 1:
The system implements periodic action by updating access control lists at optimized intervals based on network conditions and device activity patterns. The patent employs periodic monitoring and incremental updates rather than continuous full re-generation of ACLs, reducing computational overhead while maintaining adaptive security
Solution Approach 2:
The system ensures continuity of useful action by maintaining persistent ACL configurations that remain effective across device reconnections and network state changes. The patent implements mechanisms that preserve and reuse valid access control rules, avoiding redundant generation operations while ensuring continuous security enforcement
Data Source
AI summary
Systems, methods, and related technologies for access control management are described. The access control management may be customized for an entity and be configured on an enforcement point closest to the entity. In certain aspects, an entity communicatively coupled to a network is selected and one or more characteristics of the entity determined. An access policy may be selected based on the one or more characteristics of the entity and one or more enforcement points closest to the entity determined. One or more access rules to be assigned to the one or more enforcement points based on the access policy may be determined, wherein the one or more access rules are specific to the entity based on the one or more characteristics of the entity. The one or more access rules assigned to or configured on the one or more enforcement points closest to the entity are assigned.