
When large XML documents are shared, documents compression and encryption become simultaneously important for efficient and secure access. Existing approaches for compressing and encrypting large XML documents provide a non-queriable intermediate document representation, creating a need to decompress and decrypt the whole document before any access, which simply wastes computing resources (such as memory, time, and power) especially in mobile environment. To overcome this limitation, this paper proposes a new approach for compressing and encrypting large XML documents while maintaining queriability over the intermediate document representation. The proposed approach separates document structure from its contents using a variation of the Ctree XML indexing approach (known as the Ctree+), then applies context-free lossless encryption and compression techniques over the resulting Ctree+ intermediate representations. Experiments results show that the proposed approach dramatically enhances queries response times when compared with existing approaches. However, the proposed approach provides lesser compression ratios when compared with context-based compression techniques.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
