DNS Cache Security via Machine Learning Anomaly Detection
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Solution Overview
Problem
Current DNS security measures, such as DNSSEC, are not widely adopted, and there is no standard method to prevent DNS cache poisoning, making DNS caches vulnerable to attacks that can redirect legitimate traffic to compromised servers.
Innovation Solution
Implementing a system that uses machine learning to detect abnormal changes in DNS cache records by training a model with subsets of cache attribute representations indicative of normal and abnormal changes, allowing for the generation of alert rules to identify and mitigate potential attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DNSSEC is used to cryptographically sign DNS records, then DNS security is improved, but device complexity and implementation difficulty increase significantly
Solution Approach 1:
The patent uses disposable, short-lived cryptographic signatures that are continuously generated and validated. Each DNS record receives a fresh signature that expires quickly, replacing the need for complex long-term key management infrastructure while maintaining security
Solution Approach 2:
The patent introduces an intermediary validation mechanism that sits between the DNS server and resolver. This intermediary layer handles the cryptographic validation work, shielding the core DNS infrastructure from the complexity of DNSSEC implementation while still providing cryptographic protection
2Productivity
If traditional DNS cache is used to improve resolution speed, then productivity is improved, but vulnerability to cache poisoning attacks increases
Solution Approach 1:
The patent implements feedback mechanisms where DNS resolvers continuously monitor cache integrity by validating signatures on cached records. When anomalies are detected, the system automatically purges suspicious cache entries and alerts administrators, creating a closed-loop security system that maintains both speed and security
Solution Approach 2:
The patent applies preliminary cryptographic signing to DNS records before they are cached. This preliminary action ensures that cache entries are pre-validated and protected against poisoning attempts, allowing fast resolution without compromising security
Data Source
AI summary
Provided herein are methods and systems for improved domain name system (DNS) security. A computing device of a DNS, such as a recursive DNS server, may cache previously processed (e.g., resolved) DNS requests. The DNS cache may be a target for cache poisoning and other cache manipulation attacks. The methods and systems described herein may employ artificial intelligence, machine learning, and/or pattern recognition techniques to provide improved security for the DNS cache.