Information Package
baskent.edu.tr

Ph.D. on Computer Engineering

BİL614

INFORMATION SECURITY

Course Code
BİL614
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Know the cryptographic algorithms and techniques, as well as underlying mathematics.
  2. Estimate the possible attacks and the potential threats due to security design flaws.
  3. Implement the cryptographic algorithms in software.
  4. Ability to implement key control, key distribution, and key exchange algorithms.
  5. Ability to state security protocol failures.
  6. Ability to work in a cryptography project and present it.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionIntroduction to Cryptography; Classical Cryptography; Symmetric and Asymmetric Encryption; DES; AES; RSA Problem; Diffie Hellman Key Exchange; Rabin; ElGamal; Pseudo-Random Bits; Cryptographic Hash Functions; Message Authentication Codes; Digital Signature; Principles of Authentication Protocols; Authentication in Real Worlds.
Course Contents
WEEK TOPICS
1st Week Introduction to Cryptography;
2nd Week Classical Cryptography;
3rd Week Symmetric and Asymmetric Encryption;
4th Week DES; AES; RSA Problem;
5th Week Diffie Hellman Key Exchange;
6th Week Rabin;
7th Week ElGamal;
8th Week Mid-term
9th Week Pseudo-Random Bits;
10th Week Cryptographic Hash Functions;
11th Week Message Authentication Codes;
12th Week Digital Signature;
13th Week Principles of Authentication Protocols;
14th Week Authentication in Real Worlds.
Recommended or Required Reading1. Stinson, Douglas, R. "Cyrptography: Theory and Practice", CRC Press, (1995)
2. Schneier, B. "Applied Crytography", Wiley, 1996
3. Stallings, W. "Cryptography and Network Security: Principles and Practice", Prentice Hall, (2010)
4. Menezes, A. , Vanstone, S. and Orschot, P. "Handbook of Applied Cryptography with Coding Theory", Pearson, (2006)
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Practice
  • Project
  • Report Preparation
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 30
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 14 11 154
Preparation for Final exam 1 69 69
Course hours 14 3 42
Preparation for Midterm exam 1 44 44
Laboratory (including preparation)
Final exam 1 2 2
Homework
Total Work Load313
Total Work Load / 30 (h)10.43
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

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