![Figure 2 | Chaintegrity: blockchain-enabled large-scale e-voting system with robustness and universal verifiability | SpringerLink Figure 2 | Chaintegrity: blockchain-enabled large-scale e-voting system with robustness and universal verifiability | SpringerLink](https://media.springernature.com/full/springer-static/image/art%3A10.1007%2Fs10207-019-00465-8/MediaObjects/10207_2019_465_Fig2_HTML.png)
Figure 2 | Chaintegrity: blockchain-enabled large-scale e-voting system with robustness and universal verifiability | SpringerLink
![Figure 1 | Autoscaling Bloom filter: controlling trade-off between true and false positives | SpringerLink Figure 1 | Autoscaling Bloom filter: controlling trade-off between true and false positives | SpringerLink](https://media.springernature.com/full/springer-static/image/art%3A10.1007%2Fs00521-019-04397-1/MediaObjects/521_2019_4397_Fig1_HTML.png)
Figure 1 | Autoscaling Bloom filter: controlling trade-off between true and false positives | SpringerLink
![Bloom filters and other probabilistic data structures can be useful in big data and other streaming applications. Bloom filters and other probabilistic data structures can be useful in big data and other streaming applications.](https://octo.vmware.com/wp-content/uploads/sites/18/2021/08/Picture2-2.png)
Bloom filters and other probabilistic data structures can be useful in big data and other streaming applications.
![Bloom filters and other probabilistic data structures can be useful in big data and other streaming applications. Bloom filters and other probabilistic data structures can be useful in big data and other streaming applications.](https://octo.vmware.com/wp-content/uploads/sites/18/2021/08/Picture1-4.png)