POOSC: Provably online/offline signcryption scheme for vehicular communication in VANETs.
- Published in:
- Computing, 2023, v. 105, n. 11, p. 2539, doi. 10.1007/s00607-023-01196-4
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- Publication type:
- Article
Works matching IS 0010485X AND DT 2023 AND VI 105 AND IP 11
Results: 10
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An energy efficient periodic data gathering and charging schedule using MVs in wireless rechargeable sensor networks.
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- Computing, 2023, v. 105, n. 11, p. 2563, doi. 10.1007/s00607-023-01195-5
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- Article
3
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters.
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- Computing, 2023, v. 105, n. 11, p. 2487, doi. 10.1007/s00607-023-01193-7
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- Publication type:
- Article
4
Correlation adaptive task scheduling.
- Published in:
- Computing, 2023, v. 105, n. 11, p. 2459, doi. 10.1007/s00607-023-01192-8
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- Publication type:
- Article
5
Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodes.
- Published in:
- Computing, 2023, v. 105, n. 11, p. 2389, doi. 10.1007/s00607-023-01190-w
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- Publication type:
- Article
6
ST-Resnet: a deep learning-based privacy preserving differential publishing method for location statistics.
- Published in:
- Computing, 2023, v. 105, n. 11, p. 2363, doi. 10.1007/s00607-023-01189-3
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- Publication type:
- Article
7
A provable secure and lightweight ECC-based authenticated key agreement scheme for edge computing infrastructure in smart grid.
- Published in:
- Computing, 2023, v. 105, n. 11, p. 2511, doi. 10.1007/s00607-023-01188-4
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- Publication type:
- Article
8
Steady-state analysis of diffusion least-mean squares with deficient length over wireless sensor networks.
- Published in:
- Computing, 2023, v. 105, n. 11, p. 2443, doi. 10.1007/s00607-023-01187-5
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- Publication type:
- Article
9
A framework for data anomaly detection based on iterative optimization in IoT systems.
- Published in:
- Computing, 2023, v. 105, n. 11, p. 2337, doi. 10.1007/s00607-023-01186-6
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- Publication type:
- Article
10
Membership inference attacks against compression models.
- Published in:
- Computing, 2023, v. 105, n. 11, p. 2419, doi. 10.1007/s00607-023-01180-y
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- Publication type:
- Article