Funded Projects

Development of an Efficient Watermarking System for Information Hiding and Protection of DNA Sequences.

Principal Investigator’s Organization (PIO):
Pakistan Institute of Engineering and Applied Sciences, Islamabad
Principal Investigator (PI):
Dr. Asifullah Khan
Project Details:
Start Date 01-Nov-2013
Duration 24 months
Budget PKR 5.3 million
Status On Going Project
Progress Report View Progress Report
Publications N/A
Thematic Area Security
Project Website http://faculty.pieas.e
Executive Summary

In the modern world, with the increase in information, information security has become the most desirous need mainly for the digital media. The evolution of internet has also brought many threats for the data, which is transferred among several communicating bodies over the internet every day. The need to make these transactions safe has evolved the field of watermarking and information security. Different methods have been proposed and matured over the time to secure the transfer of information. With the passage of time, the attacks on the data over the internet have become more sophisticated, as the intruder knowledge has increased. With the addition of new cryptanalysis techniques and rise of computational capacities have increased the demand of novel concepts for making the information secure. Today, we need more refined methods which may provide higher degree of security to the data with lower computational costs. The objective of the project is to develop new watermarking techniques using biological organisms. Such a model will also enable the usage of living organisms e.g. bacteria or GMOs to store user data in their DNA sequences, where the information will be stored over several generations without having any adverse effects on the host organism. The project is expected to enhance the use of biological organisms for storage of digital media. The use of computational intelligence and pattern recognition approaches will provide different polymorphic forms for the proposed model with increased robustness towards any biological or cryptanalysis attacks. The proposed model is also anticipated to find its applications in the development of biological data storage devices for storing the enormous amount of information generated by various sources while minimizing the size of storage device.