DDoS Mitigation via Proactive Workflow Pre-configuration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for mitigating DDoS attacks are inefficient in anticipating and addressing future stages of attacks, often reacting too late to prevent damage, and require unsustainable human resources, leading to ineffective mitigation and potential system downtime.
Innovation Solution
A method and system that analyze attack feeds to determine characteristics of DDoS attacks, select optimal mitigation resources, and initiate proactive mitigation actions by setting up optimal workflow schemes to pre-configure mitigation resources, enabling near-zero-time mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing automated solutions are used to detect and mitigate DDoS attacks, then attack detection capability is improved, but response time is insufficient and damage cannot be prevented
Solution Approach 1:
The system performs preliminary actions by pre-configuring mitigation resources and establishing workflow schemes before attacks occur. Attack feeds are continuously analyzed to identify patterns and characteristics of future attacks, allowing the system to proactively set up defense mechanisms in advance. This enables near-zero time to mitigate by having mitigation resources ready and configured before the actual attack impacts the protected objects.
Solution Approach 2:
The system dynamically adapts to evolving attack patterns by continuously analyzing attack feeds and adjusting mitigation strategies. The workflow schemes are selected and configured based on real-time attack characteristics, allowing the system to respond flexibly to different types and stages of attacks. This dynamic approach enables the system to maintain effective detection and mitigation capabilities against sophisticated and changing attack vectors.
2Reliability
If human resources are increased to defend against sophisticated attacks, then security coverage is improved, but operational sustainability deteriorates
Solution Approach 1:
The system performs self-service by automatically analyzing attack feeds, determining attack characteristics, selecting optimal mitigation resources, and configuring workflow schemes without human intervention. The automated system continuously monitors attack patterns and adjusts defenses independently, eliminating the need for unsustainable human resource investment while maintaining comprehensive security coverage against sophisticated attacks.
Solution Approach 2:
The system replaces manual human operations with automated computational processes. Instead of relying on human analysts to detect and respond to attacks, the system uses automated algorithms to analyze attack feeds, identify patterns, and configure mitigation resources. This substitution of mechanical automation for human labor improves security coverage while ensuring operational sustainability.
3Ease of operation
If reactive mitigation is used to respond to ongoing attacks, then mitigation action is taken, but damage has already occurred and near-zero time to mitigate cannot be achieved
Solution Approach 1:
The system applies preliminary anti-action by proactively configuring mitigation resources based on analyzed attack patterns before attacks materialize. By identifying characteristics of future attacks from attack feeds and pre-setting workflow schemes, the system neutralizes threats before they can cause damage. This approach achieves near-zero time to mitigate by having defensive actions already in place before the attack impacts protected objects.
Data Source
AI summary
A system and method for reducing a time to mitigate distributed denial of service (DDoS) attacks are provided. The method includes receiving a plurality of attack feeds on at least one protected object in a secured environment; analyzing the plurality of attack feeds to determine characteristics of a DDoS attack against the secure environment; determining a set of optimal mitigation resources assigned to the secured environment; selecting, based on the set of optimal mitigation resources and the attack characteristics, at least one optimal workflow scheme; and initiating a proactive mitigation action by setting each mitigation resource in the set of optimal mitigation resources according to the selected optimal workflow scheme.