Research Article Open Access

A Novel Odor Key Technique for Security Applications Using Electronic Nose System

Mahmoud Z. Iskandarani1
  • 1 Department of Electrical Engineering, Faculty of Engineering, Al-Zaytoonah Private University of Jordan, P.O. Box 911597, Post Code 11191, Amman, Jordan


Problem statement: A novel approach to security applications that makes use of odors as password generators is developed and tested. The developed system detects and converts odor signals that are randomly selected to binary signals and then intelligently compares them with previously stored values. Approach: The interface device in question then either opens its interface if comparison is successful or applies security measures to extra protect resources from intrusion. The used odor keys are initially unknown to the user as it is randomly selected from a box containing many types, adding extra security to the system. This approach eliminated any possibility of hacking into the system and provides passwords which were truly secured. Results: Normal interfacing methods and algorithms were subject to hacking and infiltration. Random odor combinational keys are a novel, well secured biometric interfacing means to a wide range of systems. Design and testing of a practical electronic nose that can be used as a security interface in a wide variety of applications with a combinational odor key algorithm that ensures a hacking free environment. Conclusion/Recommendations: Successful implementation of human-machine interface through a highly secured electronic nose with very encouraging results in terms of possible odor combinations and multi-dimensional password generation.

American Journal of Applied Sciences
Volume 7 No. 8, 2010, 1118-1122


Submitted On: 21 August 2010 Published On: 31 August 2010

How to Cite: Iskandarani, M. Z. (2010). A Novel Odor Key Technique for Security Applications Using Electronic Nose System. American Journal of Applied Sciences, 7(8), 1118-1122.

  • 4 Citations



  • Electronic nose
  • neural
  • signal detection
  • sensor arrays
  • computer security
  • biometrics