SQLiDDS: SQL injection detection using document similarity measure-Reference-Cited by-同舟云学术

SQLiDDS: SQL injection detection using document similarity measure

Published:2016-08-16 Issue:4 Volume:24 Page:507-539
ISSN:1875-8924
Container-title:Journal of Computer Security
language:
Short-container-title:JCS

Author:

Kar Debabrata¹,Panigrahi Suvasini²,Sundararajan Srikanth³

Affiliation:

1. Department of Computer Science and Engineering, Silicon Institute of Technology, Bhubaneswar, India. E-mail: debabrata.kar@silicon.ac.in

2. Department of Computer Science and Engineering, VSS University of Technology, Burla, Sambalpur, India. E-mail: spanigrahi_cse@vssut.ac.in

3. Indian Institute of Technology, Bhubaneswar, India. E-mail: sundararajan.srikanth@gmail.com

Publisher

IOS Press

Subject

Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Software

Reference41 articles.

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4. P. Bisht, P. Madhusudan and V. Venkatakrishnan, CANDID: Dynamic candidate evaluations for automatic prevention of SQL injection attacks, ACM Transactions on Information and System Security (TISSEC) 13(2) (2010), 14.

5. S. Boyd and A. Keromytis, SQLrand: Preventing SQL injection attacks, in: Applied Cryptography and Network Security, Springer, 2004, pp. 292–302. doi:10.1007/978-3-540-24852-1_21.

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