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- 2.2 ELECTRICAL, ELECTRONIC, INFORMATION ENGINEERING (1)
- Clustering technique. (1)
- Communication engineering and systems (1)
- Cyber physical systems (CPSs) (1)
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- Differential privacy (1)
- Dimensionality (1)
- Embedded space (1)
- Embedding learning (1)
- Health care systems (1)
- Industrial Internet of things (IIoT) (1)
- Information Science (1)
- Neighbor search (1)
- Privacy preservation (1)
- Real world applications (1)
- Smart grid (SG) (1)
- Telecommunications (1)
- Transportation systems (1)
- Unified distribution (1)
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Multi‑View Clustering For Multi‑Omics Data Using Unifed Embedding, Mohammed Hasanuzzaman, Sayantan Mitra, Sriparna Saha
Multi‑View Clustering For Multi‑Omics Data Using Unifed Embedding, Mohammed Hasanuzzaman, Sayantan Mitra, Sriparna Saha
Department of Computer Science Publications
In real world applications, data sets are often comprised of multiple views, which provide consensus and complementary information to each other. Embedding learning is an effective strategy for nearest neighbour search and dimensionality reduction in large data sets. This paper attempts to learn a unified probability distribution of the points across different views and generates a unified embedding in a low-dimensional space to optimally preserve neighbourhood identity. Probability distributions generated for each point for each view are combined by conflation method to create a single unified distribution. The goal is to approximate this unified distribution as much as possible when …
Differential Privacy Techniques For Cyber Physical Systems: A Survey, Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
Differential Privacy Techniques For Cyber Physical Systems: A Survey, Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
Publications
Modern cyber physical systems (CPSs) has widely being used in our daily lives because of development of information and communication technologies (ICT).With the provision of CPSs, the security and privacy threats associated to these systems are also increasing. Passive attacks are being used by intruders to get access to private information of CPSs. In order to make CPSs data more secure, certain privacy preservation strategies such as encryption, and k-anonymity have been presented in the past. However, with the advances in CPSs architecture, these techniques also need certain modifications. Meanwhile, differential privacy emerged as an efficient technique to protect CPSs …