Visible to the public Database Structures for Accountable Flow-Net Logging

TitleDatabase Structures for Accountable Flow-Net Logging
Publication TypeConference Paper
Year of Publication2018
AuthorsTakahashi, Daisuke, Xiao, Yang, Li, Tieshan
Conference Name2018 10th International Conference on Communication Software and Networks (ICCSN)
Keywordsaccountability, accountable Flow-Net logging, accountable logging methodology, composability, computer and networks, computer network management, computer security, Containers, database management systems, database structures, Databases, Encapsulation, Flow-net logs, Metrics, network accountability, pubcrawl, relational databases, Resiliency, security, Structured Query Language
AbstractComputer and network accountability is to make every action in computers and networks accountable. In order to achieve accountability, we need to answer the following questions: what did it happen? When did it happen? Who did it? In order to achieve accountability, the first step is to record what exactly happened. Therefore, an accountable logging is needed and implemented in computers and networks. Our previous work proposed a novel accountable logging methodology called Flow-Net. However, how to storage the huge amount of Flow-net logs into databases is not clear. In this paper, we try to answer this question.
DOI10.1109/ICCSN.2018.8488249
Citation Keytakahashi_database_2018