Cloud Security Group Rule Pruning Using Packet Log Analysis
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Solution Overview
Problem
Managing security group rules in cloud environments is complex and prone to inefficiencies, leading to increased attack vectors and slowed network transmissions due to the large number of rules and overlapping configurations.
Innovation Solution
A computing device analyzes packet logs to identify the least permissive and most specific security group rules, disabling unused and shadowed rules to streamline the rule set and reduce attack vectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large number of security group rules are implemented to protect against diverse attacks, then security coverage is improved, but management complexity increases prohibitively
Solution Approach 1:
The patent extracts and removes unused and shadowed security group rules from the active rule set. By analyzing packet flow logs, the system identifies rules that are never applied (unused) or always superseded by more specific rules (shadowed), and removes them automatically. This extraction process reduces the total number of rules while preserving security coverage, directly resolving the contradiction between comprehensive security protection and manageable complexity.
Solution Approach 2:
The system performs self-service by automatically analyzing packet logs and identifying unnecessary rules without requiring manual intervention. The automated detection and removal process eliminates the need for security administrators to manually review and prune rules, enabling the system to maintain optimal security posture autonomously and reducing management complexity significantly.
2Reliability
If multiple overlapping security group rules are used to cover various attack vectors, then security comprehensiveness is improved, but network transmission speed decreases
Solution Approach 1:
The patent removes shadowed rules from the active rule set, which are rules that would never be executed because more specific rules always take precedence. By extracting these redundant rules, the system reduces the number of rules the network must evaluate for each packet, thereby improving transmission speed while maintaining security comprehensiveness through the remaining effective rules.
Solution Approach 2:
The system discards unused and shadowed rules that provide no functional value, and recovers security coverage by retaining only the effective rules that actually influence packet flow decisions. This selective discarding process eliminates unnecessary rule evaluation overhead while preserving the essential security functions, resolving the contradiction between comprehensive coverage and transmission speed.
Data Source
AI summary
Methods, systems, and apparatuses are described herein for automatically managing security group rules in a cloud environment by analyzing utilization of each of the security group rules based on packet logs so as to reduce attack vector possibilities. A computing device may receive a first log comprising a plurality of log entries that each indicate one or more packet flows associated with a security group attached to a cloud resource. A plurality of security group rules may be sorted in an order based on their permissiveness. The computing device may identify, for each log entry of the plurality of log entries, a corresponding security group rule of the plurality of security group rules by iteratively processing, based on traffic pattern matching characteristics and the order, the sorted plurality of security group rules to identify a least permissive security group rule. Rules tagged as unused and/or shadowed may be removed.