Machine Learning approach to securing IoT systems

Job ID: 33254591

Budget: $10 – $100 USD

You are required to produce an individual comprehensive research gap analysis in the form of a survey paper on Machine Learning approach to securing IoT systems. This should be approximately 2,000 words excluding references, tables, figures and appendices.

The paper should covers both requirements, more specifically
- Requirement 1
The research gap analysis requires you to study at least fifteen (15) related and recent papers presented at relevant conferences and journals. These should be related to IoT underpinning technologies, tools and models. The objective is to help you to review and evaluate state-of-the-art in IoT security.
It is important that you should put in considerable efforts to produce a high-quality research paper that adheres to the standards for publication. Publication avenues such as relevant IEEE conferences or Journals as well as Elsevier’s Journals on IoT and smart Homes should be considered.
You should ensure an extensive literature search is carried out to identify relevant developments on the chosen topic. The research gap analysis should be based on the critical analysis on the comprehensive survey carried out. Furthermore, efforts should be focused on the flaws or areas requiring further research works and clearly identify with a full critical explication the strengths and limitations of existing works in the field.
- Requirement 2
In order to demonstrate the ability of designing, applying and deploying IoT solutions, the previous gap analysis must be contextualised in a real scenario. Doing so, the previously identified challenges and limits must be highlighted, together with eventual solutions and possible future direction for further research.
Finally, the report should also have a conclusion part clearly presenting your own work, conclusion, or recommendations. You should avoid referencing other works in this section as this would have been done in earlier sections.