Name
Abstract | ||
|---|---|---|
De-duplication, which is a technology that can store data by removing redundant data, continues to receive a lot of attention. Because it reduces the storage required for writing tremendous data, as well as relatively lessens the transmission time and network utilization when data is transmitted. It is also required for the cyber blackbox which records network traffic and analyzes the causes of cyber incident over the network because the cyber blackbox should urgently address the storage issue to provide forensically robust acquisition of traffic. As an approach to the problem, we propose the EvidenceLock and our de-duplication method for continuously securing the storage to record the traffic. Next, the efficiency of the de-duplication module will be evaluated, and then the performance of the cyber blackbox when integrated with the de-duplication module will be measured. Finally, weu0027ll discuss the results and present further works. |
Year | Venue | Field |
|---|---|---|
2016 | ICTC | Metadata,Algorithm design,Computer science,Computer network,Robustness (computer science),Robust statistics,Transmission time,Grippers |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jooyoung Lee | 1 | 99 | 10.25 |
| Sunoh Choi | 2 | 0 | 0.34 |
| Yangseo Choi | 3 | 25 | 4.40 |
| Jong Hyun Kim | 4 | 77 | 16.14 |
| Ikkyun Kim | 5 | 62 | 9.02 |