Title :
New method of detection and wiping of sensitive information
Author :
Pecherle, George ; GyQrödi, Cornelia ; GyQrödi, Robert ; Andronic, Bogdan ; Ignat, Iosif
Author_Institution :
Fac. of Electr. Eng. & Inf. Technol., Univ. of Oradea, Oradea, Romania
Abstract :
One of the biggest problems in sensitive data wiping is to determine if a file is sensitive or not. Data wiping applications have improved a lot, but they cannot determine by themselves if a file is sensitive. The method we propose tries to determine if a file is sensitive by using a pre-defined set of rules initially specified by the user. These rules can update themselves in time, by “learning” from data patterns in previous sensitive files. The hard drive is monitored continuously to detect new sensitive data. Also, our method replaces the standard delete function from Windows with a secure wiping algorithm (overwriting data several times with pre-defined passes), but only for files that are determined to be sensitive.
Keywords :
data mining; file organisation; hard discs; learning (artificial intelligence); operating systems (computers); security of data; text analysis; Windows; data mining; data patterns; hard drive; pre-defined rule set; secure wiping algorithm; sensitive data wiping; sensitive file; sensitive information detection; sensitive information wiping; standard delete function; text mining; Computer science; Computers; File systems; Monitoring; Natural languages; Operating systems; US Department of Defense; Windows service; data mining; data wiping; real-time deletion; regular expressions; text mining;
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2011 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4577-1479-5
Electronic_ISBN :
978-1-4577-1481-8
DOI :
10.1109/ICCP.2011.6047859
