Course Name Code Semester T+U Hours Credit ECTS
Chaotic Systems and Chaos Based Information Security MEK 636 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Doctorate Degree
Course Type Optional
Course Coordinator Doç.Dr. AKİF AKGÜL
Course Lecturers
Course Assistants
Course Category General Training
Course Objective

Chaos based information security and its applications.

Course Content

Introduction to Chaotic Systems, Information Security, Cryptography, Data Hiding, Dynamic Analysis of Chaotic Systems, Chaotic Systems Modeling and Circuit Implementations, Chaos Based Encryption and Data Hiding Methods, Chaotic Base Encryption with Nonlinear Equations, Chaos Based Random Number Generation test procedures, signal, text, audio, picture, video hiding applications with RSU, Chaos based data hiding applications, chaos based information security applications in different fields.


# Course Learning Outcomes Teaching Methods Assessment Methods
1 Lecture, Question-Answer, Drilland Practice, Motivations to Show, Self Study, Testing, Project / Design,
2 Lecture, Question-Answer, Self Study, Testing, Homework, Project / Design,
3 Lecture, Question-Answer, Lab / Workshop, Problem Solving, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Introduction to course
2 Introduction to chaos and chaotic systems
3 Dynamical analysis for chaotic systems
4 Dynamic analysis for chaotic systems
5 Modeling and physical realization of chaotic systems
6 Cryptography
7 Data Hiding
8 Encryption and data hiding methods
9 Midterm exam
10 Chaos-based random number generation
11 Chaos-based random number generation, randomness tests
12 Chaos-based encryption applications
13 Chaos based encryption applications
14 Chaos-based data hiding applications
Course Notes <p>Kocarev, Ljupco, Lian, Shiguo (Eds.) &ldquo;Chaos-based Cryptography Theory, Algorithms and Applications&rdquo;, 2011.</p> <p>James Gleick, &ldquo;Kaos&rdquo;, 2016.</p> <p>Matlab Simulink User&rsquo;s Guide.</p>
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 Develop new strategic approach and produce solutions by taking responsibility in unexpected and complicated situations in mechatronic engineering
3 Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement
4 Develop and use data processing and communication technologies together with the machine, electronic and computer software-hardware knowledge required by the field of mechatronic engineering expertise
5 Ability to complete and implement &quot;limited or incomplete data&quot; by using the scientific methods.
6 Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them
7 Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process
8 Ability to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process
9 Gain high level ability to define the required information and data
10 Aware of new and developing application of profession and ability to analyze and study on those applications
11 Ability to interpret engineering applications social and environmental dimensions and it´s compliance with the social environment
12 At least be capable of oral and written communication in a foreign language
13 Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
14 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments
15 Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 30
1. Ödev 20
1. Performans Görevi (Seminer) 50
Total 100
1. Final 50
1. Yıl İçinin Başarıya 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 5 5
Assignment 1 10 10
Performance Task (Seminar) 1 40 40
Final examination 1 5 5
Total Workload 140
Total Workload / 25 (Hours) 5.6
dersAKTSKredisi 6