Content area

Abstract

Formal proof of security measure effectiveness and computation security is vitally important for trust in critical information systems. It should be realized that formal security verification must be carried out at each infrastructural level (from the hardware level to the application level) in the process of system design. Currently, computation security analysis on the application level remains the major challenge as it requires complex labeling of computing environment elements. Traditionally, to solve this problem, information flow control (IFC) methods are employed. Unlike access control mechanisms widely used in modern operating systems (OSs) and database management systems (DBMSs), IFC has limited application in software design and mostly comes down to trivial taint tracking. This paper describes an approach to full-fledged implementation of IFC in PL/SQL program units with the use of the PLIF platform. In addition, a general scheme of computation security analysis for enterprise applications that work with relational DBMSs is considered. The key advantage of our approach is the explicit separation of functions between software developers and security analysts.

Details

Title
Scenario of Information Flow Analysis Implementation in PL/SQL Program Units with PLIF Platform
Author
Timakov, A. A. 1   VIAFID ORCID Logo 

 MIREA – Russian Technological University, Moscow, Russia (GRID:grid.466477.0) (ISNI:0000 0000 9620 717X) 
Publication title
Volume
49
Issue
4
Pages
215-231
Publication year
2023
Publication date
Aug 2023
Publisher
Springer Nature B.V.
Place of publication
New York
Country of publication
Netherlands
ISSN
03617688
e-ISSN
16083261
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2023-07-28
Milestone dates
2023-07-20 (Registration); 2022-07-15 (Received); 2023-01-13 (Accepted); 2022-12-15 (Rev-Recd)
Publication history
 
 
   First posting date
28 Jul 2023
ProQuest document ID
2918596139
Document URL
https://www.proquest.com/scholarly-journals/scenario-information-flow-analysis-implementation/docview/2918596139/se-2?accountid=208611
Copyright
© Pleiades Publishing, Ltd. 2023. ISSN 0361-7688, Programming and Computer Software, 2023, Vol. 49, No. 4, pp. 215–231. © Pleiades Publishing, Ltd., 2023. Russian Text © The Author(s), 2023, published in Programmirovanie, 2023, Vol. 49, No. 4.
Last updated
2024-08-27
Database
ProQuest One Academic