AI security and cyber risk in IoT systems
Radanliev, Petar, De Roure, David, Maple, Carsten, Nurse, Jason R. C., Nicolescu, Razvan, Ani, Uchenna
–arXiv.org Artificial Intelligence
However, this extensive integration of IoT devices has also introduced significant cybersecurity risks. The Internet of Things (IoT) has attracted the attention of cybersecurity professionals after cyber-attackers started using IoT devices as botnets (Palekar and Radhika 2022). IoT devices are often vulnerable to various cyber threats, including distributed denial-of-service (DDoS) attacks, botnet exploitation, and data breaches, all of which can compromise critical systems' integrity, confidentiality, and availability. Understanding and mitigating the risks associated with IoT deployments is crucial in this evolving landscape, especially given the interdependencies between IoT components and systems.
arXiv.org Artificial Intelligence
Oct-11-2024
- Country:
- Oceania > Australia
- Australian Capital Territory > Canberra (0.04)
- North America > United States
- North Carolina (0.04)
- New York > New York County
- New York City (0.04)
- California > Santa Clara County
- Palo Alto (0.04)
- Europe
- Switzerland (0.04)
- Russia (0.04)
- Netherlands (0.04)
- United Kingdom > England
- West Yorkshire > Huddersfield (0.04)
- Oxfordshire > Oxford (0.04)
- Staffordshire (0.04)
- Kent (0.04)
- Greater London > London (0.04)
- France > Occitanie
- Haute-Garonne > Toulouse (0.04)
- Finland > South Karelia
- Lappeenranta (0.04)
- Asia
- Russia (0.04)
- Middle East > Iran
- Tehran Province > Tehran (0.04)
- Oceania > Australia
- Genre:
- Overview (1.00)
- Research Report
- New Finding (0.67)
- Experimental Study (0.45)
- Industry:
- Technology:
- Information Technology
- Security & Privacy (1.00)
- Internet of Things (1.00)
- Data Science > Data Mining (1.00)
- Communications > Networks
- Sensor Networks (0.46)
- Artificial Intelligence
- Robots (1.00)
- Representation & Reasoning (1.00)
- Machine Learning > Neural Networks (0.46)
- Information Technology