Adaptive IoT Security
Topic:
Enhancing Security in Internet of Things (IoT) Networks through Adaptive Intrusion Detection Systems
- a minimum of 15 solid references. The quality and volume of the content is expected to be of a graduate level. The following is a recommended guideline:
- Detailed description of the area researched
- Technology involved in the area
- Existing data on the area or technology researched (this could be linked to Case Study assignment)
- Future trends in the area
- Example companies involved in the area
- Regulatory issues surrounding the area
- Global implications for the area
- Security issues
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Adaptive IoT Security
Area and Technology Overview
The Internet of Things (IoT) connects everyday devices to the internet. These devices range from sensors and cameras to industrial controllers. The growing adoption of IoT expands the attack surface. Adaptive Intrusion Detection Systems (IDSs) help secure these devices. They use machine learning to monitor network traffic and detect threats in real time.
Existing Data and Case Study Insights
Research has shown that deep reinforcement learning (DRL) and federated learning methods boost IDS accuracy in IoT systems en.wikipedia.org+9arxiv.org+9arxiv.org+9. One study presented a hybrid framework using neural networks and genetic algorithms tailored to industrial IoT environments link.springer.com. Another found adaptive IDSs can identify anomalies and block threats effectively journals.sagepub.com. These case studies highlight how adaptability and resource-awareness improve efficacy.
Future Trends and Industry Applications
Future IDSs will leverage edge computing and federated learning to keep detection close to devices link.springer.com+13mdpi.com+13arxiv.org+13. Companies like Mocana and Identiv develop embedded security platforms for IoT systems en.wikipedia.org+1en.wikipedia.org+1. Panasonic’s honeypot project shows the need for built-in detection tools . Adaptive models will increasingly detect zero-day attacks and rogue activity.
Regulations, Global Impact, and Security Challenges
New regulations—like the EU’s Cyber Resilience Act and EN 17927—mandate secure-by-design IoT systems arxiv.org+15en.wikipedia.org+15wired.com+15. However, inconsistent legislation across countries creates compliance challenges . Global growth in IoT—especially in critical infrastructure—amplifies risk from ransomware (“jacking”) attacks . Adaptive IDSs must thus balance privacy, resource constraints, and real-time detection.
