… is the secure analysis of large-scale data that is represented as a graph. In particular, the …
We present new techniques that can scale the secure computation of graph data to very large …

… graph output extremely huge and difficult to analyze by the system administrator. Furthermore,
AG is used for graphical security analysis … analysis of the proposed algorithm, S3 scales …

… graphs of self-organized security systems will exhibit a similar small-world phenomenon, and
we provide a way to model self-organized certificate graphs. … scaling as the PGP certificate …

… ’s goal, and an attack graph as a consolidation of the attack tree … graphs can easily be far
too large to be practical. Paper [13] provides some support for our position on this: in a scaling …

… The approach is proved to have a polynomial time complexity and can scale to the attack
graphs with ten thousands of nodes corresponding large enterprise networks. …

… graph analysis without leaking the global graph data in the clear. The current work focuses
on addressing this via the technique of secure … phase of BFS scales with the graph size N. …

… -scale graphs. To ensure the accuracy of prediction models and improve the security of
large-scale data during processing [22], this paper proposes a continuous-time dynamic graph …

… MPC protocols tailored for graph computations. Thus, this … based solutions for secure graph
analysis in both outsourced … for secure graph analysis does not scale well for large graphs…

… secure version of graph-based algorithms incurs a small logarithmic overhead in comparison
with the non-secure … can bring secure computation into the realm of practical large-scale …

… of secure graph storage, fast anonymization and efficient query processing. In addition, any
third-party can perform graph mining and related analysis over the anonymized graph directly…