DNS Spoofing Detection and Mitigation Techniques: A Case Study

In the era of digital communication, cybersecurity has become one of the most critical concerns for organizations and individuals alike. Among the various threats that target internet infrastructure, DNS Spoofing (also known as DNS Cache Poisoning) poses a severe risk by redirecting users to malicious or fraudulent websites without their knowledge.

This project titled “DNS Spoofing Detection and Mitigation Techniques: A Case Study” offers a detailed analysis of how DNS spoofing attacks are executed, detected, and prevented using modern cybersecurity frameworks and technologies.

The study focuses on identifying vulnerabilities within the Domain Name System (DNS) and explaining how attackers manipulate DNS responses to mislead users. It further explores various detection and mitigation techniques, such as DNSSEC (Domain Name System Security Extensions), firewall configurations, and intrusion detection systems (IDS) that help ensure the authenticity and integrity of online communication.

Additionally, the project includes a case study on real-world DNS spoofing incidents to demonstrate practical prevention strategies, highlighting how early detection, traffic analysis, and cryptographic validation can safeguard systems against such attacks.

🎯 OBJECTIVES

• To understand the fundamental working of the Domain Name System (DNS) and its vulnerabilities.

• To study the process and impact of DNS spoofing attacks in real-world scenarios.

• To analyze existing detection and mitigation mechanisms for DNS spoofing.

• To design or simulate a case study showcasing effective DNS spoofing prevention strategies.

• To evaluate the performance and reliability of various DNS protection methods.

📚 Guideline for BCA/MCA Project (IGNOU eGyankosh)

Students preparing the Cybersecurity Project Report should:

• Choose a topic that combines theoretical understanding with practical implementation.

• Follow the standard IGNOU project format — including Introduction, Objectives, Methodology, Data Analysis, Findings, and Conclusion.

• Include diagrams, system architectures, flowcharts, and code snippets to explain detection mechanisms.

• Reference NIST, CERT, or ISO cybersecurity standards to support the technical framework.

• Ensure originality and alignment with IGNOU’s eGyankosh guidelines for academic projects.

⚠️ NOTE

Projects downloaded from Academicvox.com are for reference only and not for direct submission.
Guarantee applies only to customized projects prepared strictly as per IGNOU’s format and evaluation criteria.