Strategic Planning for Network Data Analysis
Kartik Talamadupula, Octavian Udrea, Anton Riabov, Anand, Ranganathan

TL;DR
This paper introduces the 'strategic planning' problem for automated network data analysis, applying automated planning methods to optimize decision-making in real-time system monitoring.
Contribution
It presents a novel formulation of the strategic planning problem using PDDL, and demonstrates an integrated system with evaluations on real network data and simulation.
Findings
Automated planners showed varied capabilities in real-world scenarios.
The integrated system effectively managed network monitoring tasks.
Planning methods scaled to real-time, large-scale network data.
Abstract
As network traffic monitoring software for cybersecurity, malware detection, and other critical tasks becomes increasingly automated, the rate of alerts and supporting data gathered, as well as the complexity of the underlying model, regularly exceed human processing capabilities. Many of these applications require complex models and constituent rules in order to come up with decisions that influence the operation of entire systems. In this paper, we motivate the novel "strategic planning" problem -- one of gathering data from the world and applying the underlying model of the domain in order to come up with decisions that will monitor the system in an automated manner. We describe our use of automated planning methods to this problem, including the technique that we used to solve it in a manner that would scale to the demands of a real-time, real world scenario. We then present a PDDL…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLogic, Reasoning, and Knowledge · AI-based Problem Solving and Planning · Multi-Agent Systems and Negotiation
