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A key management scheme for secure group communication using binomial key trees
TLDR
A new scheme to manage the secure group using the binomial key tree approach, where the number of encryptions performed and rekey messages constructed during membership change are fewer compared to the scheme proposed by Wong and others and it is not required to balance the tree after each membership change.
A novel neural network structure for motion control in joints
TLDR
General applicability of the proposed method using two different kinds of joints for two different types of gradient functions has been presented.
Analysis of Key Management Schemes for Secure Group Communication and Their Classification
TLDR
This paper discusses some of the key management schemes proposed earlier and analyzes the schemes with respect to storage, communication and computation costs.
A non-grouping anonymity model for preserving privacy in health data publishing
TLDR
A Non-Grouping Anonymity model is proposed; this gives a basic level of anonymization that prevents an individual being re-identified from their published data.
Key management scheme for multiple simultaneous secure group communication
TLDR
This paper considers multiple simultaneous secure groups and proposes a key management scheme for managing multiple groups using a combination of key-based and secret share-based approach for managing the keys and shows that it is possible for members belonging to two or more groups to derive the group keys with less storage.
Multi-Layer Auto Resonance Network for Robotic Motion Control
TLDR
A new type of Artificial Neural Network (ANN) called Auto-Resonance Network (ARN) derived from synergistic control of biological joints is reported, which can be used as a part of hierarchical structures to support deep learning applications.
Dynamic Authenticated Secure Group Communication
TLDR
A protocol for Secure Authentic Communication where authentication for the group communication scheme proposed by Blundo et al. is addressed and is secure against colluding malicious parties numbering fewer than k.
Pathnet: A Neuronal Model for Robotic Motion Planning
TLDR
A new type of Multi-layered Artificial Neural Network suitable for motion control of multi-joint robotic mechanisms with arbitrary Degrees of Freedom (DoF) is proposed and used to control a multi segmented robotic system in R.
Performance Evaluation of H.264/AVC Intra Compound Image Compression System
TLDR
The coders presented in this study are very effective for compound documents because of its intraframe prediction mode and when using these coders, it is possible to improve significantly the quality of text regions, with little to negligible losses to the pictorial regions.
Secure group communication using binomial trees
TLDR
This paper proposes a new method to manage secure group using binomial key tree approach and shows that number of encryptions performed and rekey messages constructed during membership change are less compared to the scheme proposed by Wong and others.
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