| Title | A Diagnostic survey on Sybil attack on cloud and assert possibilities in risk mitigation |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Kumar, Ravula Arun, Konda, Srikar Goud, Karnati, Ramesh, Kumar.E, Ravi, NarenderRavula |
| Conference Name | 2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR) |
| Keywords | cloud, cloud computing, composability, Metrics, Protocols, pubcrawl, Random key Redistribution, Resiliency, Resistance, resource allocation, self-organizing networks, social networking (online), Switches, sybil attacks, Taxonomy |
| Abstract | Any decentralized, biased distributed network is susceptible to the Sybil malicious attack, in which a malicious node masquerades as numerous different nodes, collectively referred to as Sybil nodes, causing the network to become unresponsive. Cloud computing environments are characterized by their loosely linked nature, which means that no node has comprehensive information of the entire system. In order to prevent Sybil attacks in cloud computing systems, it is necessary to detect them as soon as they occur. The network's ability to function properly A Sybil attacker has the ability to construct. It is necessary to have multiple identities on a single physical device in order to execute a concerted attack on the network or switch between networks identities in order to make the detection process more difficult, and thereby lack of accountability is being promoted throughout the network. The purpose of this study is to Various varieties of Sybil assaults have been documented, including those that occur in Peer-to-peer reputation systems, self-organizing networks, and other similar technologies. The topic of social network systems is discussed. In addition, there are other approaches in which it has been urged over time that they be reduced or eliminated Their potential risks are also thoroughly investigated. |
| DOI | 10.1109/ICAITPR51569.2022.9844217 |
| Citation Key | kumar_diagnostic_2022 |
A Diagnostic survey on Sybil attack on cloud and assert possibilities in risk mitigation