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Objective:
The objective of this term paper is to explore the application and limitations of anomaly-based intrusion detection systems (IDS) in the context of Internet of Things (IoT) networks. Given the increasing deployment of IoT devices across various sectors, securing these devices has become a critical concern. Anomaly-based IDS, which focus on detecting unusual patterns or behaviors that deviate from the norm, offer a promising solution to this challenge. This paper aims to investigate the effectiveness, challenges, and potential improvements of anomaly-based IDS in IoT environments.
Research Questions:
What are the unique characteristics and challenges of securing IoT networks compared to traditional enterprise networks?
This question will delve into the specific security requirements and constraints of IoT networks, highlighting how they differ from those of conventional networks. Factors such as resource limitations, diverse device types, and the potential for large-scale deployments will be considered.
How do anomaly-based intrusion detection systems operate in IoT environments, and what are their key strengths and weaknesses?
This question will examine the underlying mechanisms of anomaly-based IDS, their implementation in IoT networks, and the advantages they offer, such as the ability to detect novel attacks. The analysis will also cover the limitations, including high false positive rates and computational demands.
What advancements or hybrid approaches can enhance the effectiveness of anomaly-based IDS in IoT networks?
This question will explore potential improvements to anomaly-based IDS, such as integrating machine learning techniques, leveraging edge computing, or combining anomaly-based methods with signature-based approaches. The goal is to identify strategies that can mitigate the existing challenges and improve detection accuracy.
Methodology:
The research will involve a comprehensive literature review of existing studies on anomaly-based IDS and IoT security. Case studies of real-world implementations and experimental results from previous research will be analyzed to provide insights into practical applications and outcomes. Additionally, the paper will consider current trends and emerging technologies in both IoT and cybersecurity fields to propose innovative solutions.
Term paper. Students need to research and investigate the project topic and write a term paper of at least 4 double-column pages in ACM formatLinks to an external site. If you are doing a research/investigation project, the term paper must discuss the problem/investigation you are addressing and the key findings and/or conclusions of your investigation.
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