Enhancing Cybersecurity in IoT Networks: A Comprehensive Study on Threat Detection and Mitigation Strategies

The rapid proliferation of IoT devices has opened up new avenues for cyber threats. Securing these devices has become increasingly complicated, as over 75 billion IoT devices are predicted to be active by 2025. Inherent vulnerabilities in IoT systems create a field day for cyber-attacks, such as poor encryption, default security settings, and poor processing power. Moreover, the use of AI and machine learning in IoT systems has introduced new dimensions of vulnerability, where hackers now target machine learning models with the intent to manipulate these network behaviors.

· Besides, there is a lack of uniform security standards set across various device manufacturers; hence, IoT cybersecurity becomes very fragmented in approach. It leaves the systems for critical infrastructure that include smart grids and healthcare on the verge of facing serious disruption. Recent studies by Sonnad et al., (20220; Nadella & Gonaygunta, (2024) describe how, until recently, existing security frameworks were poorly adequate to depend on in their traditional forms of firewalls and antivirus software. These tools, though helpful for personal computing environments, are ill-equipped to deal with issues presented in such unique forms as IoT ecosystems.

· The main problem that this study tries to solve is the inefficiency and unavailability of mechanisms capable of detecting and mitigating attacks in IoT networks. Several solutions have been presented that include the use of AI and blockchain technology, but few research works have gone further to consider practicality and effectiveness. Hence, the present study fills this lacuna by assessing the efficacy of modern threat detection methods in securing IoT devices.

· Methodology: Qualitative

· Research Questions:

· RQ1: What is the efficiency of AI- and ML-based threat detection systems in detecting and mitigating the cyber-attacks in IoT networks?

· RQ2: What are the major limitations in the existing protocols of IoT security and how to overcome them?

· RQ3: How can the integration of traditional security mechanisms such as firewalls and antivirus software with AI technologies improve IoT cybersecurity?

· The name of your dissertation chair : Dr Terry House

· The anticipated semester that you will defend: Spring 2026

Interview Questions: Comment by Lenovo: The interview questions need to organized properly to answer the research questions in order. a) It seems the first three questions are related to RQ1. But these three questions are not enough to answer RQ1. You also need to ask about the role of AI and ML technology in mitigating cyber attacks in IoT networks. b) You can make at least 4 to 5 interview questions to answer each research question. c) Prepare interview questions that are relevant to the research questions only.

1.How would you describe the current level of cybersecurity in IoT networks?

2.What do you consider the most frequent types of cyber threats targeting IoT networks?

3. How good is AI and ML technology in the detection of IoT threats? Comment by Lenovo: This question can be revised as “How can AI and ML technology be used in the detection of IoT threats?”

4. What are the limitations of current IoT security protocols? Comment by Lenovo: This a good question to answer RQ2. The next question should focus on the remedial measures to overcome the limitations.

5. Can traditional security measures, such as firewalls, be integrated with AI technologies? Comment by Lenovo: This question is related to RQ3. The next question should focus on how can they be integrated.

6. What is the role of leadership and organization policies in cybersecurity for IoT?

7. How do you approach threat mitigation in IoT networks?

8. What are the challenges in deploying IoT security solutions at scale?

9.Picking up from where we left off, how can one determine the reliability of threat detection systems based on Artificial Intelligence?

10.How effective are new regulations and compliance standards in IoT cybersecurity?

11.How can privacy be protected in the Internet of Things systems?

12. What trends do you see shaping the future of IoT cybersecurity?

13. How would you mitigate the insider threat in IoT deployments?

14. What is the role of user education in IoT cybersecurity?

15. What would you suggest in terms of improving cybersecurity in the IoT?

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