• DocumentCode
    582990
  • Title

    Inherent Dangers in Database Security

  • Author

    Singh, Sartaj

  • Author_Institution
    Dept. of Comput. Applic., Lovely Prof. Univ., Jalandhar, India
  • fYear
    2012
  • fDate
    14-15 Sept. 2012
  • Firstpage
    366
  • Lastpage
    370
  • Abstract
    With the danger/risk of data theft looming large over the horizon of the Internet user involved in e-banking, online shopping, transaction etc. it becomes imperative to identify the dangers involved and employ security checks. Usually big stores have secure SSL [1] connections to be used by the owners of credit cards. Use of base64 encoding instead of hexadecimal and similarly using AES-128[2] cipher algorithm certainly heightens database security because these methods ensure high security where as they shorten the length of the encrypted string. Carrying forward these two above stated methods i.e. base64 encoding and AES-128 cipher algorithm, a more secure approach will be to use random number generator in which is required only to store the 8-byte random component instead of full 16 bytes. The existing methods of encryption are also not fool proof for high end professionals. The main thrust of this paper is to identify, pinpoint and find the solutions for the inherent dangers involved in the database storage.
  • Keywords
    cryptography; database management systems; random number generation; AES-128 cipher algorithm; Internet user; base64 encoding; credit card; danger identification; data risk; data theft; database security; e-banking; encrypted string; online shopping; random number generator; secure SSL; security check; transaction; Computer crime; Computer hacking; Credit cards; Databases; Encryption; AES (Advanced Encryption Standard); E-banking (Electronic-Banking);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Sciences (ICCS), 2012 International Conference on
  • Conference_Location
    Phagwara
  • Print_ISBN
    978-1-4673-2647-6
  • Type

    conf

  • DOI
    10.1109/ICCS.2012.42
  • Filename
    6391710