| Title | A Novel and Secure Framework to Detect Unauthorized Access to an Optical Fog-Cloud Computing Network |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Singh, Kiran Deep, Singh, Prabhdeep, Tripathi, Vikas, Khullar, Vikas |
| Conference Name | 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC) |
| Keywords | Adaptation models, and adaptable Honeypot, cloud computing, Computational modeling, Fog Computing, Hidden Markov models, Image edge detection, intrusion detection system, Markov model, Markov processes, Optical computing, Passive Optical Network, pubcrawl, resilience, Resiliency, Scalability, security, sustainable virtualization |
| Abstract | Securing optical edge devices across an optical network is a critical challenge for the technological capabilities of fog/cloud computing. Locating and blocking rogue devices from transmitting data frames in an optical network is a significant security problem due to their widespread distribution over the optical fog cloud. A malicious actor might simply compromise such a device and execute assaults that degrade the optical channel's Quality. In this study, we advocate an innovative framework for the use of an optical network to facilitate cloud and fog computing in a safe environment. This framework is sustainable and able to detect hostile equipment in optical fog and cloud and redirect it to a honeypot, where the assault may be halted and analyzed. To do this, it employs a model based on a two-stage hidden Markov, a fog manager based on an intrusion detection system, and an optical virtual honeypot. An internal assault is mitigated by simulated testing of the suggested system. The findings validate the adaptable and affordable access for cloud computing and optical fog. |
| DOI | 10.1109/PDGC56933.2022.10053223 |
| Citation Key | singh_novel_2022 |
A Novel and Secure Framework to Detect Unauthorized Access to an Optical Fog-Cloud Computing Network