USING INTERNAL MySQL/InnoDB B-TREE INDEX NAVIGATION FOR DATA HIDING
Overview & Synopsis
Large databases provide interesting environments for hiding data. These databases store massive amounts of diverse data, they are riddled with internal mechanisms and data pools for enhancing performance, and they contain complex optimization routines that constantly change portions of the underlying file environments. The databases are valuable targets for attackers who wish to manipulate search results or hide traces of data access or modification. Despite its importance, research on data hiding in databases is relatively sparse. This chapter describes several data hiding techniques in MySQL and demonstrates the impact of data deletion on forensic analysis.
Indexed from repository: HAL Open Science
(
hal.science)
Keyboard Shortcuts:
← / → for pages • + / - for zoom • 0 to fit width
Powered by Mozilla PDF.js v3.11
Document Information
| Document Title | USING INTERNAL MySQL/InnoDB B-TREE INDEX NAVIGATION FOR DATA HIDING |
|---|---|
| Author / Organization | Peter Fruhwirt, Peter Kieseberg, Edgar Weippl |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2015 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-51590 |
| Original Source Link | Visit Source Page on hal.science » |