Biometric Safeguards and Risks
Itakura and Tsujii are proposing to allow an external organization, such as PKI, to issue biological certification as a way to ensure the validity of biological information. (Itkura, 2005) It would consist of three cryptographic keys; a public key and two secret keys. The public key would be defined as the representative template for personal biological information registration. The algorithm selects the representative template to be stored in the Biometric Specific Memory Block defined by CBEFF standards. The two secret keys would be done separate from the public key and each other to ensure the guarantee of the security of the overall personal authentication. They would be defined as a random number generated by conventional mathematical calculation. The public key and the first secret key would work together to guarantee the security of the information. In case that the public key and the first secret key are...
In the end, all three keys would have to be identified in order for the information to be used by intruders.
Biological information can be easily stolen by someone touching a surface, an eye or face in a camcorder, voice recording, handwriting imitated, or stolen hair with the root. The embedding of the biological information has advantages of privacy protection, zero knowledge (no information is given to an inspector), and an economical system not needing to build up its own biological database. This is feasible if the system maintains data purpose specification, accuracy, anonymity, and security. (Zorkadis, 2004) Having a third cryptographic key would be an added layer of security. The data would need specific purpose, maintained accuracy and anonymity, and have a strong security system, both technological and physical organizational, as well as strong security policies. The external organization would also need to be held accountable for the protection of the biological information they encounter.
The truth of the matter is the biometric templates for identity enrolment that are stored on a server are not in the real since images rather they are mathematical representations of the data points that the biometric algorithm is able to extract from the scanned fingerprint, finger vein, palm vein or iris. The identifying template is a binary file that has a series of zeros and ones. The algorithm then
It also helps to reduce the threat of identity theft as this is frequently initiated through the hacking of such highly vulnerable wireless communication devices. According to ThirdFactor, the same BioLock technology is currently being adapted to meet the needs of the Microsoft Windows and Mac OS packages on the market's near horizon. This suggests that the pacesetting consumer brands in the technology, software, cell phone and computing industries
Biometric Controls Biometric Cost Analysis There are some questions that will help determine the cost benefit analysis of a new biometric system (Cooper). The level of security, the level of reliability, need of backup, the acceptable time for enrollment, level of privacy, and storage needed are things that need to be determined first. Will the system be attended or not? Does the system need to be resistant to spoofing? Will the system
This was done by creating an artificial fingerprint from the little traces that are left on the biometric scanners. This entailed the process of obtaining the relevant biometric data. The second approach involved employment of a technique that is commonly referred to as deploying a replay attack. In this approach is equivalent to the man-in-the-middle attack that is common in various communication data breaches. The process involves the tapping
However, a very determined criminal, as mentioned above, might go as far as cutting off fingers in order to circumvent this problem. Nonetheless, fingerprinting appears to make car theft somewhat more challenging than the ordinary immobilizing device. Main Conclusions Because of its groundbreaking technology and the fact that it makes car theft more difficult than ordinary immobilizing devices, biometric fingerprinting devices for immobilizing and car door locking holds particular advantages over
This research will aim to address this gap. Research Objectives The primary objective of this research is to develop a SIFT-based algorithm that will improve the efficacy of handwritten signature feature extractions and enable a more powerful and accurate tool for the assessment of signature validity, with lower rates of false rejection of valid signatures and false acceptance of forged (invalid) signatures. To this end, a comparison between measurements of Euclidean