Active Dependency Mapping: A Data-Driven Approach to Mapping Dependencies in Distributed Systems
| Title | Active Dependency Mapping: A Data-Driven Approach to Mapping Dependencies in Distributed Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Schulz, A., Kotson, M., Meiners, C., Meunier, T., O’Gwynn, D., Trepagnier, P., Weller-Fahy, D. |
| Conference Name | 2017 IEEE International Conference on Information Reuse and Integration (IRI) |
| Date Published | aug |
| Keywords | Active dependency mapping, artificial degradation, Automated Dependency Mapping, computer security, Conferences, Cyber Dependencies, cyber physical systems, Cyber-physical systems, Data-driven approach, Degradation, dependency analysis, dependency relations, distributed processing, Distributed Systems, Ecosystems, enterprise networks, Information Reuse, interrelated software services, Mission Assurance, network environment, network performance, pubcrawl, quantitative assessment, resilience, Resilience and Robustness, Resiliency, Robustness, security, Software |
| Abstract | We introduce Active Dependency Mapping (ADM), a method for establishing dependency relations among a set of interdependent services. The approach is to artificially degrade network performance to infer which assets on the network support a particular process. Artificial degradation of the network environment could be transparent to users; run continuously it could identify dependencies that are rare or occur only at certain timescales. A useful byproduct of this dependency analysis is a quantitative assessment of the resilience and robustness of the system. This technique is intriguing for hardening both enterprise networks and cyber physical systems. We present a proof-of-concept experiment executed on a real-world set of interrelated software services. We assess the efficacy of the approach, discuss current limitations, and suggest options for future development of ADM. |
| URL | http://ieeexplore.ieee.org/document/8102923/ |
| DOI | 10.1109/IRI.2017.85 |
| Citation Key | schulz_active_2017 |
- Ecosystems
- Software
- security
- Robustness
- Resiliency
- Resilience and Robustness
- resilience
- quantitative assessment
- pubcrawl
- network performance
- network environment
- Mission Assurance
- interrelated software services
- Information Reuse
- enterprise networks
- Active dependency mapping
- distributed systems
- distributed processing
- dependency relations
- dependency analysis
- Degradation
- Data-driven approach
- cyber-physical systems
- cyber physical systems
- Cyber Dependencies
- Conferences
- computer security
- Automated Dependency Mapping
- artificial degradation