Research Article
A Novel Edge-Based Trust Management System for the Smart City Environment Using Eigenvector Analysis
Table 4
Analysis of proposed work.
| Work name | Significance | Methodology for identifying the malicious trustdata contributions | Methodology | Significance/limitations |
| E-TMS | (i) Eigenvector-based approach for eliminating the malicious contributions | Present | (i) Malicious free aggregated trust value evaluation | (i) Two-level trustevaluation approach | SAODV [18] | (i) Resistant toward routing attacks | Nil | (i) Enhancement of path determination | (i) Introduced only to secure AODV | SLICER-TMU [19] | (i) Prevention of identity-based attacks | Nil | (i) Secure authentication mechanism | (i) Vulnerable to malicious trust contributions | SAL-SAODV [12] | (i) Power-aware approach | Nil | (i) Architectural enhancement | (i) Fog-based approach | DBNIDS [13] | (i) Malicious attack detection | Nil | (i) Deep belief neural network-based approach | (i) Method accepts trust data contributions from both malicious as well as legitimate nodes |
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