### Cryptography (CS 411)

2023 Fall
Faculty of Engineering and Natural Sciences
Computer Sci.& Eng.(CS)
3
10/6 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Erkay Savaş erkays@sabanciuniv.edu,
English
MATH204

### CONTENT

This is an introductory course on cryptography. Topics include: Classical cryptosystems, basics of number theory, symmetric key cryptography (stream and block ciphers), hash functions, public key cryptosystems (RSA, discrete logarithm based algorithms, and elliptic curve cryptography (ECC)), digital signatures, implementation issues, secure key establishment techniques, secret sharing, and zero-knowledge proof.

### LEARNING OUTCOMES

• Show a good understanding of security issues in a classical communications scenario.
• Explain why classical ciphers using mono-or poly alphabetic substitution technique are weak.
• Demonstrate a good understanding of introductory number theory pertaining to prime numbers, divisibility, rings, groups, finite fields.
• Use software libraries for number theory and cryptographic operations and build application using these libraries.
• Outline the classic taxonomy of cryptographic algorithms, and give at least one contemporary example for each class in the taxonomy
• Explain the difference between stream ciphers and block ciphers and the difference between symmetric ciphers and asymmetric ciphers, and areas of their usage.
• Demonstrate a good understanding of block cipher design principles and one public key algorithm
• Give at least two examples for hard problems on which contemporary cryptographic algorithms are based.
• Calculate the minimum key length that should be used in one symmetric and one public key cryptosystem for at least two different security levels.
• Demonstrate a good understanding of public key certificates and their usage in securing communication channels.
• Design and implement a simple communication protocol that provides basic security functionality including confidentiality, integrity, authentication, non-repudiation for communicating parties.

### PROGRAMME OUTCOMES

1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 1

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 1

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself. 3

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 4

1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5

4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 5

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 2

6. Possess knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 2

7. Possess knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; knowledge of behavior according to ethical principles, understanding of professional and ethical responsibility. 2

8. Have the ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. 5

1. Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 1

2. Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 1

1. Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 5

2. Demonstrate knowledge of discrete mathematics and data structures. 5

3. Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 5

1. Use mathematics (including derivative and integral calculations, probability and statistics, differential equations, linear algebra, complex variables and discrete mathematics), basic sciences, computer and programming, and electronics engineering knowledge to (a) Design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software or (b) Design and analyze communication networks and systems, signal processing algorithms or software

1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1

1. Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 2

2. Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 1

### ASSESSMENT METHODS and CRITERIA

 Percentage (%) Final 40 Midterm 30 Group Project 15 Homework 15