Description:

Students will get acquainted with the algorithms of secure key generation and cryptographic error (not only biometric) data processing. Furthermore, students will learn the mathematical principles of cryptographic protocols (identification, authentication, and signature schemes). Another part of the course is dedicated to malware detection and the use of machine learning in detection systems. The last topic includes practical steganographic methods and attacks on steganographic systems.

Contents:

1. Key generation algorithms.
2. Self-correcting codes (basic definition, Reed-Muller codes).
3. Self-correcting codes (cyclic codes, Reed-Solomon, and BCH codes).
4. Cryptographic methods of error data processing (biometric data).
5. Cryptographic protocols: zero-knowledge proofs.
6. Cryptographic protocols: electronic signature and identification schemes.
7. Cryptographic protocols: key management, secret sharing.
8. Malware: basic types of malware and principles of analysis.
9. Malware: machine learning-based detection techniques.
10. Malware: algorithms for clustering into families.
11. Steganography: practical steganographic methods.
12. Steganography: attacks on steganographic systems.

Seminar contents:

1. Key generation algorithms.
2. Self-correcting codes
3. Cryptographic protocols
4. Cryptographic protocols
5. Malware
6. Steganography

Recommended literature:

1. Monnappa, K. A. : Learning Malware Analysis: Explore the concepts, tools, and techniques to analyze and investigate Windows malware. Packt Publishing, 2018. ISBN 978-1788392501.
2. Masud, M. - Thuraisingham, B. - Khan, L. : Data mining tools for malware detection. Auerbach Publications, 2011. ISBN 978-1439854549.
3. Clark, C. : Bitcoin Internals - A Technical Guide to Bitcoin. Amazon Digital Services, 2013.
4. Fridrich, J. : Steganography in digital media: principles, algorithms, and applications. Cambridge University Press, 2009. ISBN 978-0521190190.
5. Mao, W. : Modern cryptography: theory and practice. Pearson Education India, 2003. ISBN 978-0132887410.

Keywords:

cryptographic protocols, self-correcting codes, malware detection, steganography

Abbreviations used:

Semester:

• W ... winter semester (usually October - February)
• S ... spring semester (usually March - June)
• W,S ... both semesters

Mode of completion of the course:

• A ... Assessment (no grade is given to this course but credits are awarded. You will receive only P (Passed) of F (Failed) and number of credits)
• GA ... Graded Assessment (a grade is awarded for this course)
• EX ... Examination (a grade is awarded for this course)
• A, EX ... Examination (the award of Assessment is a precondition for taking the Examination in the given subject, a grade is awarded for this course)

Weekly load (hours per week):

• P ... lecture
• C ... seminar
• L ... laboratory
• R ... proseminar
• S ... seminar