A graph theoretic approach to statistical data security
SIAM Journal on Computing
Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Information and Computation
A minimum 3-connectivity augmentation of a graph
Journal of Computer and System Sciences
Graph augmentation and related problems: theory and practice
Graph augmentation and related problems: theory and practice
Linear-time optimal augmentation for componentwise bipartite-completeness of graphs
Information Processing Letters
Data Security Equals Graph Connectivity
SIAM Journal on Discrete Mathematics
Total Protection of Analytic-Invariant Information in Cross-Tabulated Tables
SIAM Journal on Computing
On four-connecting a triconnected graph
Journal of Algorithms
Concurrent threads and optimal parallel minimum spanning trees algorithm
Journal of the ACM (JACM)
Edge-Connectivity Augmentation with Partition Constraints
SIAM Journal on Discrete Mathematics
Simpler and faster biconnectivity augmentation
Journal of Algorithms
Optimal Augmentation for Bipartite Componentwise Biconnectivity in Linear Time
SIAM Journal on Discrete Mathematics
Auditing and Inference Control in Statistical Databases
IEEE Transactions on Software Engineering
Smallest Bipartite Bridge-Connectivity Augmentation
Algorithmica
Hi-index | 5.23 |
In this paper, we consider the augmentation problem of an undirected graph with k partitions of its vertices. The main issue is how to add a set of edges with the smallest possible cardinality so that the resulting graph is 2-edge-connected, i.e., bridge-connected, while maintaining the original partition constraint. To solve the problem, we propose a simple linear-time algorithm. To the best of our knowledge, the most efficient sequential algorithm runs in O(n(m+nlogn)logn) time. However, we show that it can also run in O(logn) parallel time on an EREW PRAM using a linear number of processors, where n is the number of vertices in the input graph. If a simple graph exists, our main algorithm ensures that it is as simple as possible.