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Peer-to-Peer Networking and Applications

Ausgabe 6/2020

Includes a Special Issue on Security and Privacy of Machine Learning Assisted P2P Networks

Inhalt (41 Artikel)

An analytical model for churn process in Bitcoin network with ordinary and relay nodes

Saeideh G. Motlagh, Jelena Mišić, Vojislav B. Mišić

A Robust user authentication protocol with privacy-preserving for roaming service in mobility environments

R. Shashidhara, Sriramulu Bojjagani, Anup Kumar Maurya, Saru Kumari, Hu Xiong

An integrated P2P framework for E-learning

Nikita Bhagatkar, Kapil Dolas, R. K. Ghosh, Sajal K. Das

RETRACTED ARTICLE: Machine learning based multi scale parallel K-means++ clustering for cloud assisted internet of things

S. K. Mydhili, S. Periyanayagi, S. Baskar, P. Mohamed Shakeel, P. R. Hariharan

IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector

BalaAnand Muthu, C. B. Sivaparthipan, Gunasekaran Manogaran, Revathi Sundarasekar, Seifedine Kadry, A. Shanthini, Antony Dasel

Channel aware optimized proportional fair scheduler for LTE downlink

B. Satheesh Monikandan, A. Sivasubramanian, S. P. K. Babu, G. K. D. Prasanna Venkatesan, C. Arunachalaperumal

Dynamic allocation strategy of VM resources with fuzzy transfer learning method

Xiang Wu, Huanhuan Wang, Wei Tan, Dashun Wei, Minyu Shi

Security and privacy of machine learning assisted P2P networks

Hongwei Li, Rongxing Lu, Mohamed M. E. A. Mahmoud

Achieving reliable timestamp in the bitcoin platform

Guangkai Ma, Chunpeng Ge, Lu Zhou

Efficient distributed privacy-preserving collaborative outlier detection

Zhaohui Wei, Qingqi Pei, Xuefeng Liu, Lichuan Ma

A trust-based minimum cost and quality aware data collection scheme in P2P network

Yingying Ren, Zhiwen Zeng, Tian Wang, Shaobo Zhang, Guoming Zhi

Efficient and secure k-nearest neighbor query on outsourced data

Huijuan Lian, Weidong Qiu, Di Yan, Zheng Huang, Peng Tang

Adaptive privacy-preserving federated learning

Xiaoyuan Liu, Hongwei Li, Guowen Xu, Rongxing Lu, Miao He