# Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review
## 3 Discussion on Attribute-Centric Privacy-Preserving Methods
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Techniques Used** & **Objective (s)** & **Application Area** & **Study Type** & **Data Type** & **Reference** \\ \hline Fixed intervals + IDs generation & Privacy–utility trade-off & Healthcare & Technical & Real & [PERSON] et al. [61] \\ Fixed intervals+ Improved \(\ell\)-diversity & Privacy–utility trade-off & Healthcare & Technical & Real & [PERSON] et al. [62] \\ Hybrid schemes & Privacy–utility enhancement & Medical data & Technical & Real & [PERSON] et al. [63] \\ Uncertainty + & Privacy–utility deviation & General scenarios & Technical & Real & [PERSON] et al. [64] \\ DP + tree model & Data utility and patient’s privacy & Medical data & Technical & Real & [PERSON] et al. [65] \\ Three syntactic models & Privacy–utility model & General scenarios & Technical & Real & [PERSON] et al. [66] \\ Feature selection + & Data utility anonymization & General scenarios & Technical & Real & [PERSON] et al. [67] \\  & Data utility enhancement & General scenarios & Technical & Real & [PERSON] et al. [68] \\  & Privacy–utility enhancement & Smart health data & Technical & Real & [PERSON] et al. [69] \\  & \multicolumn{1}{c}{k-CMVM} & Utility enhancement & General scenarios & Technical & Real & [PERSON] et al. [70] \\  & \multicolumn{1}{c}{Micro-aggregation} & Privacy & dynamic data release & Technical & Real & [PERSON] et al. [71] \\  & \multicolumn{1}{c}{} & enhancement & Machine learning & Technical & Real and synthetic & [PERSON] et al. [72] \\ Util-MA approach & Reduction in loss & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\ Grid clustering + DP & Query accuracy & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\  & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\ AFBSO + WOA & Privacy and utility enhancement & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\ GM-FBO algorithm & Preserving privacy of SHD & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\ CGBFO-GC & Multi-privacy algorithm & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\ OAN model & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\  & Privacy and utility enhancement & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\ Fuzzy clustering & Privacy and utility enhancement & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\  & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\  & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\  & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\  & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\  & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\ \hline \hline \end{tabular} Abbreviations: ILoss = information loss, AFBSO = adaptive fractional brain storm optimization, WOA = whale optimization algorithm, GM-FBO=Gaussian mutation-based firebug optimization, SHD = sensitive healthcare data, CGBFO-GC = Chaotic chemotaxis and Gaussian mutation-based bacterial foraging optimization with a genetic crossover operation, IDEA=Incomplete Data strEam Anonymization, BL = backpropagation learning, SA = sensitive attributes, CAP=chaos and perturbation, PPDM = privacy-preserving data mining.  
\end{table} 
Table 2: Summary and comparisons of the most recent attribute-centric privacy methods.