Jan 16, 2017 · Results are presented on a real world data set that demonstrates the effectiveness of the introduced method compared to previous naive methods.

Networks are modeled as bipartite authentication access graphs and a multi-objective evolutionary algorithm is used to simultaneously minimize the size of large ...

Suboptimal partitioning of users' access and available services contributes to the vulnerability of enterprise networks. Previous edge-cut partitioning methods ...

Networks are modeled as bipartite authentication access graphs and a multi-objective evolutionary algorithm is used to simultaneously minimize the size of large ...

Details ; Title. Evolving Bipartite Authentication Graph Partitions ; Authors/Creators - name. Aaron Scott Pope. Alexander D. Kent. Daniel Remy Tauritz.

Graph partitioning methods are used to segment large computer networks to make it difficult for adversaries to penetrate the network [5, 27] . Path analysis ...

Fingerprint. Dive into the research topics of 'Evolving bipartite authentication graph partitions'. Together they form a unique fingerprint.

Additional applications include evolving network security metrics ... graph generators, and multi-level graph partitioning algorithms. Coevolving ...

Abstract—Optimal graph partitioning is a foundational prob- lem in computer science, and appears in many different applications.

ABSTRACT. Learning a more distributed representation of the input fea- ture space is a powerful method to boost the performance of a given predictor.