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Defense resource distribution between protection and redundancy for constant resource stockpiling pace
Gregory Levitin1, Kjell Hausken
1Collaborative Autonomic Computing Laboratory, School of Computer Science, University of Electronic Science and Technology of China, China.
Summary
Optimal defense strategies involve delaying new redundant element construction to minimize system vulnerability. This approach reduces overall destruction probability during a constant resource increment and attack time horizon.
Area of Science:
- Operations Research
- System Security
- Risk Management
Background:
- Resource allocation in parallel systems under adversarial conditions is critical.
- Attacker and defender resource stockpiling with constant increment rates pose dynamic challenges.
- System performance must be maintained within a defined time horizon with uniform attack probability.
Purpose of the Study:
- To determine the optimal resource distribution for system protection and redundancy.
- To minimize the probability of system destruction over a given time horizon.
- To analyze the impact of construction timing for new redundant elements.
Main Methods:
- Mathematical modeling of resource allocation and system vulnerability.
- Optimization techniques to find the best balance between protection and redundancy.
- Analysis of time delays in construction initiation to mitigate initial vulnerability.
Main Results:
- Starting new element construction immediately increases initial system vulnerability.
- Introducing a time delay before construction significantly reduces vulnerability and destruction probability.
- Optimal strategies consider both time delay and construction pace, with and without initial vulnerability constraints.
Conclusions:
- Delaying the initiation of redundant element construction is a key strategy for enhancing system resilience.
- Resource management in adversarial environments requires careful timing of defensive measures.
- The findings provide a methodology for analyzing optimal defense strategies in dynamic resource competition scenarios.
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