JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives:

• To learn the biometric technologies.
• To learn the computational methods involved in the biometric systems.
• To learn methods for evaluation of the reliability and quality of the biometric systems.

UNIT - I

Introduction & Handwritten Character Recognition Introduction – history – type of Biometrics – General Architecture of Biometric Systems – Basic Working of biometric Matching – Biometric System Error and performance Measures – Design of Biometric Systems – Applications of Biometrics – Benefits of Biometrics Versus Traditional Authentication Methods – character Recognition – System Overview – Geature Extraction for character Recognition – Neura; Network for handwritten Charater Recognition – Multilayer Neural Network for Handwritten Character Recognition – Devanagari Numeral Recognition – Isolated Handwritten Devanagari Charater Recognition suing Fourier Descriptor and Hidden markov Model.

UNIT - II

Face Biometrics & Retina And Iris Biometrics Introduction –Background of Face Recognition – Design of Face Recognition System – Neural Network for Face Recognition – Face Detection in Video Sequences – Challenges in Face Biometrices – Face Recognition Methods – Advantages and Disadvantages – Performance of Biometrics – Design of Retina Biometrics – Iris Segmentation Method – Determination of Iris Region – Experimental Results of Iris Localization – Applications of Iris Biometrics – Advantages and Disadvantages. VEIN AND FINGERPRINT BIOMETRICS & BIOMETRIC HAND GESTURE RECOGNITION FOR INDIAN SIGN LANGUAGE. Biometrics Using Vein Pattern of Palm – Fingerprint Biometrics – Fingerprint Recognition System – Minutiae Extraction – Fingerprint Indexing – Experimental Results – Advantages and Disadvantages – Basics of Hand Geometry – Sign Language – Indian Sign Language – SIFT Algorithms- Practical Approach Advantages and Disadvantages.

UNIT - III

Privacy Enhancement Using Biometrics & Biometric Cryptography And Multimodal Biometrics Introduction – Privacy Concerns Associated with Biometric Developments – Identity and Privacy – Privacy Concerns – Biometrics with Privacy Enhancement – Comparison of Various Biometrics in Terms of Privacy – Soft Biometrics - Introduction to Biometric Cryptography – General Purpose Cryptosystem – Modern Cryptography and Attacks – Symmetric Key Ciphers – Cryptographic Algorithms – Introduction to Multimodal Biometrics – Basic Architecture of Multimodal Biometrics – Multimodal Biometrics Using Face and Ear – Characteristics and Advantages of Multimodal Biometrics Characters – AADHAAR : An Application of Multimodal Biometrics.

UNIT - IV

Watermarking Techniques & Biometrics: Scope and Future Introduction – Data Hiding Methods – Basic Framework of Watermarking – Classification of Watermarking – Applications of Watermarking – Attacks on Watermarks – Performance Evaluation – Characteristics of Watermarks – General Watermarking Process – Image Watermarking Techniques – Watermarking Algorithm – Experimental Results – Effect of Attacks on Watermarking Techniques –

R19 M. TECH. CN/CNIS/CYBER SECURITY

Scope and Future Market of Biometrics – Biometric Technologies – Applications of Biometrics - Biometrics – and Information Technology Infrastructure – Role of Biometrics in Enterprise Security – Role of Biometrics in Border Security – Smart Card Technology and Biometric – Radio Frequency Identification Biometrics – DNA Biometrics – Comparative Study of Various Biometrics Techniques.

UNIT - V

Image Enhancement Techniques & Biometrics Stands Introduction – current Research in image Enhancement Techniques – Image Enhancement – Frequency Domain Filters – Databases and Implementation – Standard Development Organizations – Application Programming Interface – Information Security and Biometric Standards – Biometric Template Interoperability.

Text Books:

• 1. Biometrics: Concepts and Applications by G R Sinha and Sandeep B. Patil, Wiley, 2013.
• 2. Biometrics for Network Security – Paul Reid, Pearson Education.

References:

• 1. Biometrics – Identity verification in a networked world – Samir Nanavathi, Micheal Thieme, Raj Nanavathi, Wiley – dream Tech.
• 2. Biometrics – The Ultimate Reference – John D. Woodward, Jr.Wiley Dreamtech. R19 M. TECH. CN/CNIS/CYBER SECURITY M. Tech. (CNIS/CN/Cyber Security) – I Year – II Semester Common to CNIS, CN and Cyber Security WEB AND DATABASE SECURITY LAB (Lab - III)

Pre-requisites

Database Management Systems, Practical exposure on Commercial Database

Management Systems, Web Security,

Course Outcomes

At the end of the course the student will be able to:

• Design of access control methods for secure web & database application development
• Analyse and Classify the vulnerabilities in the Web and Database applications.
• Design & implementation various methods for web & database intrusion detection.
• Design and Implementation security audit methods.

List of Experiments:

• 1. Creation and manipulation of database using SQL scripts and graphical interfaces.
• 2. Implementing DAC: Implementation of database security policies using DAC in oracle 10g/SQL server
• 3. Implementing of MAC to ensure confidentiality and control information flow using either Oracle 10g or SQL server. This provides exposure to understand the concepts of MAC and Trojan hose
• 4. Implementation of Virtual Private Database using View using Oracle 10g or SQL server
• 5. Design a method to simulate the HTML injections and cross-site scripting (XSS) to exploit the attackers.
• 6. Determine HTML injection bugs and possible measures to prevent HTML injection exploits.
• 7. Implement Secure coding for buffer flow heap attacks.
• 8. Implementation of Design methods to break authentication schemes
• 9. Implementation of methods for abusing Design Deficiencies against web sites R19 M. TECH. CN/CNIS/CYBER SECURITY M. Tech. (CNIS/CN/Cyber Security) – I Year – II Semester Common to CNIS, CN and Cyber Security