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TR

ADVANCED TOPICS IN INFORMATION SECURITY

Course
MISY660 - ADVANCED TOPICS IN INFORMATION SECURITY
Department
Management Information Systems - English - PhD
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
Assoc. Prof. Dr. Mary AGOYI
Prerequisite
-
Keywords
-

Course Description

Information is a crucial resource of today’s society. Protecting information and related intellectual property has recently posed a challenge. Information security is an enabling technology for developing a secured information society. These course aims at providing students with an advanced knowledge of Information security. The course will expose students to current and exciting research topics in information security. At the end of the course, students shall be able to understand the basic security properties, models, policies, concerns, and security tools such as cryptography, internet security, database security, steganography, access control mechanisms, firewalls and Intrusion detection system. Students will also have opportunity to evaluate real life security cases.

ADVANCED TOPICS IN INFORMATION SECURITY

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 At the end of the course, Students shall be able to understand advanced concepts in assessing the strength and limitations of security technologies.
  2. 02 At the end of the course, Students shall be able to understand the principal concepts, major issues, technologies, and basic approaches in information security
  3. 03 provide student with the understanding and assessments of the common threats faced by organizations
  4. 04 provide student the provide the ability to examine and analyze real-life security cases

Course Syllabus

Week Topic
Week 1 Information security review
Week 2 Information security Threats and Attacks
Week 3 Public, Private and hybrid Encryption Techniques
Week 4 Biometric access control
Week 5 Cybersecurity
Week 6 IPsec- VPN
Week 7 Presentation 1
Week 8 Firewalls
Week 9 Presentation 2
Week 10 internet Security (SSL/TLS)
Week 11 SSL- VPN
Week 12 Project Presentation
Week 13 Project Presentation
Week 14 Project Presentation
Week 15 Final Exams

Reference Books & Course Materials

  1. 01 Principles of Information Security, 3rd Edition by Micheal Whitman and Herbert Mattord
  2. 02 Security in Computing, 3rd Edition by Charles P. Pfleeger and Shari Lawrence Pfleeger
  3. 03 materials from digital libraries

Learning Outcomes

  1. L01 At the end of the course, Students shall be able to understand advanced concepts in assessing the strength and limitations of security technologies.
  2. L02 At the end of the course, Students shall be able to understand the principal concepts, major issues, technologies, and basic approaches in information security
  3. L03 provide student with the understanding and assessments of the common threats faced by organizations
  4. L04 provide student the provide the ability to examine and analyze real-life security cases

Program Outcomes

  1. Demonstrate mastery of advanced research methodologies (quantitative, qualitative, and mixed methods) by critically analyzing literature, identifying research gaps, and designing original studies that contribute to MIS theory and practice.
  2. Conduct and defend an original doctoral dissertation that reflects independent scholarly inquiry, academic rigor, and a significant contribution to the advancement of knowledge in MIS.
  3. Exhibit readiness for thesis monitoring and defense by articulating the philosophical foundations of research paradigms, positioning one's research within these frameworks, and responding to scholarly critique.
  4. Apply ethical principles, academic integrity, and responsible conduct of research in all phases of the research process, including data collection, analysis, reporting, and publication.
  5. Identify and address the social, legal, and ethical implications of information systems research and its applications within organizational and societal contexts.
  6. Employ advanced data science techniques, including statistical modeling, machine learning, and AI-based analytics, to examine complex datasets and extract meaningful insights in MIS research.
  7. Recognize and evaluate emerging technologies such as artificial intelligence, big data, blockchain, and the Internet of Things, assessing their transformative impact on organizational processes and digital ecosystems.
  8. Collaborate and lead in interdisciplinary research environments, establishing productive scientific partnerships and managing research projects that integrate diverse academic perspectives.
  9. Publish high-quality research in peer-reviewed journals, present findings at international conferences, and actively engage in academic service such as journal reviewing, conference organizing, and committee participation.
  10. Identify challenges and propose innovative, research-based solutions at the intersection of information systems, technology, and organizational strategy.
  11. Deliver advanced-level MIS courses, supervise graduate research, and nurture academic development through effective mentorship and scholarly teaching.
  12. Develop advanced information systems and decision support systems that align IT capabilities with organizational strategies using systems thinking and innovative design methodologies.

Po-Lo Matrix

LO Average
L01 - - - - - - - - - - - - -
L02 - - - - - - - - - - - - -
L03 - - - - - - - - - - - - -
L04 - - - - - - - - - - - - -