Biometrics bbb dajhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh
- 1. TUMKUR UNIVERSITY DEPARTMENT OF STUDIES AND RESEARCH IN COMPUTER SCIENCE TITLE: Biometrics PRESENTED BY Bhagyashree A M P11AZ24S126002 Ist Semester-MCA Tumkur University,Tumkur. PRESENTED TO Shashikala Mam DoSR Computer Applications Tumkur University, Tumkur.
- 2. Biometrics: Biometrics is extremely effective in security applications and is used in multiple instances that include the government, military and business. It is also a field that is rapidly growing and expanding. This project will look at various biometric methods including iris scanning, retina scanning, hand geometry, facial geometry, fingerprint scanning and others to see how they are done, and their general effectiveness. My hypothesis is that biometrics is the future of security and that it is coming into the mainstream where even more people will be able to take advantage of the technology.
- 3. Core Biometric Modalities Physiological Biometrics • Fingerprint scanning analyzes minutiae. • Iris recognition identifies unique iris patterns. • Facial recognition uses 3D mapping. • Vein scanning maps vein patterns. Behavioral Biometrics • Voice recognition analyzes speech. • Signature dynamics analyze signing speed. • Gait analysis identifies walking styles. • Keystroke dynamics analyze typing.
- 4. Fingerprint Scanning • Well known • Based on two assumptions: • Fingerprint details are permanent • Fingerprints of an individual are unique • “A fingerprint is made up of a pattern of ridges and furrows as well as characteristics that occur at Minutiae points (ridge bifurcation or a ridge ending)” (Beal).
- 5. Retina Scanning • The retina is the patterns of blood vessels on the thin nerve at the back of the eyeball that processes light entering the pupil • During a retinal scan, a user brings their eye very close to the lens of the camera being used for the scanning • Must look directly into the lens • Enrollment can also take up to a minute or more • Must be scanned every time for authentication
- 6. Voice Recognition • Speech recognition technology is used to convert spoken words into text • Voice recognition takes the unique sound of a voice and matches it to a particular person, authenticating that person for entry into a system (Briggs)
- 7. How Biometric Systems Work Enrollment Capture initial biometric data. Create and store a secure template. Presentation Present biometric data to the system. Implement anti-spoofing measures. Matching Compare data to the stored template. Calculate a matching score. Decision Accept or reject the match. Log the transaction.
- 8. Applications of Biometrics Security Border control, building access. Law Enforcement Criminal identification. Healthcare Patient identification. Finance Mobile banking.
- 9. Biometrics in Mobile Devices Fingerprint Sensors Prevalent in smartphones. Integrated with mobile payment systems. Facial Recognition Unlocks phones and authenticates apps. Vulnerable to spoofing attacks. Voice Recognition Integrated with virtual assistants. Raises privacy concerns.
- 10. Advantages of Biometrics Enhanced Security Difficult to forge biometric data. Convenience No need to remember passwords. Accountability Clear audit trails for transactions. Biometrics offer enhanced security due to the difficulty in forging biometric data. They also provide convenience. There is no need to remember passwords. Biometrics offer clear audit trails.
- 11. Challenges of Biometrics Privacy Concerns Sensitive data collection and storage. Accuracy Limitations False acceptance and rejection rates. Security Vulnerabilities Susceptible to spoofing attacks. Cost and Implementation High initial investment required.
- 12. Addressing Biometric Vulnerabilities Liveness Detection Challenge-response systems. 1 Sensor Technologies Multispectral imaging. 2 Data Encryption Secure storage of data. 3 Security Audits Vulnerability assessments. 4
- 13. The Future of Biometrics Multimodal Biometrics Combining multiple modalities. AI and Deep Learning Enhanced algorithms. Wearable Biometrics Integration into devices. Contactless Biometrics Increased adoption.
- 14. Conclusion: The Biometric Future Biometrics are increasingly prevalent. Balancing security and privacy is crucial. Ongoing innovation will drive adoption. The future of identification is biometric.