CMP661 - CRYPTOGRAPHY
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| CRYPTOGRAPHY | CMP661 | Spring | 3 | 0 | 3 | 9 |
| Prequisites | None | |||||
| Course language | English | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Question and Answer Drill and Practice | |||||
| Instructor (s) | Dr. Ahmet Burak Can, Dr. Sevil Åžen | |||||
| Course objective | To teach the fundamental concepts of cryptology and some important cryptographic applications. | |||||
| Learning outcomes |
| |||||
| Course Content | Basic cryptography concepts and tools, cryptographic security protocols, various cryptography applications | |||||
| References | Douglas R. Stinson, Cryptography (Theory and Practice), CRC Press 1995, ISBN: 0-8493-8521-0 Bruce Schneier, Applied Cryptography (2nd edition), Wiley, 1996 J. Katz and Y. Lindell, Introduction to Modern Cryptography, Chapman and Hall/CRC Press, 2008, ISBN 978-1-58488-551-1. William Stallings, Cryptography and Network Security, Principles and Practice, Second Edition, Prentice Hall, 1998, ISBN: 0-13-869017-0. Network Security: Private Communication in a Public World, 2nd Edition. C. Kaufman, R. Perlman, and M. Speciner, Prentice-Hall Alfred J. Menezes, Paul C. Oorschot, and Scott A. Vanstone: Handbook of Applied Cryptography. CRC Press 1996. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction to information security, basic encryption algorithms |
| Week 2 | Block ciphers: DES, AES |
| Week 3 | Hash functions, message authentication codes |
| Week 4 | Introduction to number theory |
| Week 5 | Diffie-Helman key exchange algorithm, RSA , Digital signatures, digital certificates, X.509 |
| Week 6 | Security handshake |
| Week 7 | Kerberos, SSL/IPSEC protocols |
| Week 8 | Eliptik eÄŸri ÅŸifreleme sistemleri |
| Week 9 | Midterm exam |
| Week 10 | Mental poker, Oblivious transfer, Bit commitment protocols |
| Week 11 | Blind signatures, Digital money |
| Week 12 | Threshold cryptography, group signatures |
| Week 13 | Certified e-mail, PGP, Elektronik oylama |
| Week 14 | Zero-knowledge proof protocols |
| Week 15 | Final exam preparation |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 5 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 5 | 25 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 20 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 50 |
| Percentage of final exam contributing grade succes | 0 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 8 | 112 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 5 | 10 | 50 |
| Midterms (Study duration) | 1 | 30 | 30 |
| Final Exam (Study duration) | 1 | 30 | 30 |
| Total Workload | 35 | 81 | 264 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Graduates should have a mastery of computer science as described by the core of the Body of Knowledge. | X | ||||
| 2. Graduates need understanding of a number of recurring themes, such as abstraction, complexity, and evolutionary change, and a set of general principles, such as sharing a common resource, security, and concurrency. | X | ||||
| 3. Graduates of a computer science program need to understand how theory and practice influence each other. | X | ||||
| 4. Graduates need to think at multiple levels of detail and abstraction. | X | ||||
| 5. Students will be able to think critically, creatively and identify problems in their research. | X | ||||
| 6. Graduates should have been involved in at least one substantial project. | X | ||||
| 7. Graduates should realize that the computing field advances at a rapid pace. | X | ||||
| 8. Graduates should conduct research in an ethical and responsible manner. | X | ||||
| 9. Graduates should have good command of technical terms in both Turkish and English. | X | ||||
| 10. Graduates should understand the full range of opportunities available in computing. | X | ||||
| 11. Graduates should understand that computing interacts with many different domains. | X | ||||
| 12. Graduates should develop the knowledge acquired at master level and apply scientific methods in order to solve scientific problems. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest