Gautam Srivastava
Future generations computer systems · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 0 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Who trusts Gautam Srivastava
- Ahad Nasab (in Cardiology and Cardiovascular Medicine)
- Nafiseh Ghaffar Nia (in Cardiology and Cardiovascular Medicine)
- Erkan Kaplanoglu (in Cardiology and Cardiovascular Medicine)
Papers from Gautam Srivastava's perspective
Ordered by how strongly the researchers Gautam Srivastava trusts endorse each paper. Same corpus, a different order for every researcher.
- Bitcoin: A Peer-to-Peer Electronic Cash System
- Securing Personal Health Records in Cloud Computing: Patient-Centric and Fine-Grained Data Access Control in Multi-owner Settings (Security and Privacy in Communication Networks)
- Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing (IEEE Network)
- PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks (IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications)
- Association rule mining to detect factors which contribute to heart disease in males and females (Expert systems with applications)
- Effective diagnosis of heart disease through neural networks ensembles (Expert systems with applications)
- ProfilIoT: a machine learning approach for IoT device identification based on network traffic analysis (ACM Symposium on Applied Computing)
- Clinical decision support system: Risk level prediction of heart disease using weighted fuzzy rules (Journal of King Saud University: Computer and Information Sciences)
- The SIMON and SPECK lightweight block ciphers (Design Automation Conference)
- Enabling conferencing applications on the internet using an overlay muilticast architecture (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
Their papers
- A survey on security and privacy of federated learning (2021) — 1,391 citations
- Federated-Learning-Based Anomaly Detection for IoT Security Attacks (2021) — 590 citations
- A Decentralized Privacy-Preserving Healthcare Blockchain for IoT (2019) — 726 citations
- Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques (2019) — 1,389 citations