Fog Computing: Mitigating Insider Data Theft Attacks in the Cloud

By Salvatore J. Stolfo, Malek B Ben Salem, Angelos Dennis Keromytis. 2012 IEEE Symposium on Security and Privacy Workshops, 2012

304 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/429ef38e0ef817f4f0fd88bfed0ef21e801d0d1a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Zheng Yan
2. Charith Perera
3. Saad Khan
4. Rongxing Lu
5. Athanasios V. Vasilakos
6. Yongrui Qin
7. S. Parkinson
8. Mqhele E. Dlodlo

In Computer Networks and Communications

1. Athanasios V. Vasilakos
2. Yongrui Qin
3. Stephan Reiff-Marganiec
4. Júlio Cezar Estrella
5. Zheng Yan
6. Charith Perera
7. Saad Khan
8. Rongxing Lu

In Signal Processing

1. Charith Perera
2. Rongxing Lu
3. Sudip Misra
4. Athanasios V. Vasilakos
5. Yongrui Qin
6. Kim-Kwang Raymond Choo

Citations in the corpus

• Fog computing security: a review of current applications and security solutions (2017, background): “Mitigating insider data theft One study [96] provides a solution for protecting data from malicious insiders using components of Fog and Cloud computing.”
• Fog Computing for Sustainable Smart Cities (2017, methodology): “The main idea is to implement two additional security features, including User Behavior Profiling and Decoys, on fog gateway devices [Stolfo et al. 2012].”
• From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “[66] to withstand malicious insiders by disguising information to prevent attackers from identifying customer’s real sensitive data.”
• A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, background): “We do acknowledge the importance of these aspects and many research activities currently tackle them (e.g., [26]–[28]).”
• Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT (2015, unknown): “The corresponding author is Prof. Eui-Nam Huh.”
• Assessment of the Suitability of Fog Computing in the Context of Internet of Things (2018, background): “Of late, few researchers have also explored the security and privacy aspects of fog computing [50], [51], [52].”
• A survey on security issues and solutions at different layers of Cloud computing (2012, unknown): “S. J. Stolfo et al. [65] proposed an approach that uses user behavior and decoy information to mitigate insider data theft.”