CYBER SECURITY-I

Course Description

The course covers basic concepts of cyber security theory and techniques for optimizing security on computers and networks. Students are taught on how to assess the current security landscape, the nature of the threat, the general status of common vulnerabilities, the likely consequences of security failures and the set of information security metrics that can be applied to prevent and mitigate the cyber security issues. At the completion of this course student will be able to Identify potential threats to computer and networks, describe basic incident response techniques and identifies several techniques that provides basic protection to computer and networks.

CYBER SECURITY-I

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Thakur & Pathan, (2020). Cybersecurity Fundamentals: A Real-World Perspective, 1th Edition.
2. 02 Priyadarshini, (2019). Cyber Security in Parallel and Distributed Computing: Concepts, Techniques, Applications and Case Studies.
3. 03 Wilson, (2021). Cybersecurity.
4. 04 Goutam, (2021). Cybersecurity Fundamentals: Understand the Role of Cybersecurity, Its Importance and Modern Techniques, Used by Cybersecurity Professionals, 1th Edition.

Learning Outcomes

1. L01 Explain the fundamental concepts of computer networks, analyze the role of network devices and protocols, and describe how data is transmitted between connected systems. SOLO 4
2. L02 Analyze the principles of cryptography, explain the use of encryption, decryption, hashing, and keys, and evaluate their importance in protecting information. SOLO 3.5
3. L03 Identify common social engineering techniques, analyze how attackers manipulate users, and evaluate strategies for preventing human-based security breaches. SOLO 3
4. L04 Explain the concept of steganography, describe how hidden information is embedded in digital files, and analyze its possible uses and security risks. SOLO 4
5. L05 Identify major cybersecurity risks and threats, analyze their impact on individuals and organizations, and explain the importance of risk awareness. SOLO 4.5
6. L06 Describe different cyberattack methods used by cybercriminals, analyze how these attacks are carried out, and evaluate their possible consequences. SOLO 4
7. L07 Explain cybersecurity countermeasures, analyze how tools, policies, access control, firewalls, backups, and awareness reduce risks, and evaluate their effectiveness. SOLO 4
8. L08 Explain the principles of penetration testing, describe the role of ethical hacking, and analyze how security weaknesses are identified, tested, and reported. SOLO 4

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix