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Computing services are changing from traditional Internet services to peer-to-peer (P2P) cloud networking. Currently, resources with scalability are being served to many users through P2P cloud networking. P2P-based cloud systems can be classified based on their purpose and the method of providing the service using cloud technology. Convergence P2P cloud services consist of management by the various providers, depending on the purpose of the service. This issue involves some of the hottest topics in convergence P2P cloud computing, including P2P cloud networking, security in P2P computing, P2P overlay networks, hybrid P2P networking systems, mobile communications, P2P mobile networks, delay-tolerant P2P networking, P2P sensor networks, P2P-based systems, and P2P network services.The first paper by Begam et al. [1] proposes an optimized P2P quantitative structure property relationship (QSPR) for prediction of enthalpy in a formation using outlier detection and subset selection. This study focuses on an optimized QSPR model to understand biological activity and the physicochemical property by identifying that relationship with the P2P network. This deals with benchmarking models based on polynomial regression, principal component regression, and partial least square regression in a P2P network. The paper by Shin et al. [2] suggests writer identification using interstroke and intra-stroke information for security enhancements in a P2P-based system. This study focuses on handwriting identification that uses a hybrid of hidden features and a block-type model to improve accurate and efficient P2P security enhancements. In addition, a user can register and be identified using an authentication feature. This feature extracts major components of characters and boundary points of blocks in P2P-based systems. The paper by Kim et al. [3] introduces a data transmitting method for delay-tolerant P2P networking for Internet of Things (IoT) services. This study deals with an efficient delay-tolerant network (DTN) that exploits the connection status between sensor nodes, mobile sink nodes, and gateway nodes in P2P networking. The proposed method predicts an opportunistic network status using a naïve Bayes classifier to improve efficient decision-making under wireless conditions. The paper by Jeong et al.[4] suggests a fast Fourier transform (FFT)-based efficient data processing technique for bigdata processing-speed enhancement in a P2P computing environment. The proposed method focuses on keywords for searching big data as coefficients of polynomial expressions. In addition, this method transforms vectors using the coefficients of polynomial expressions to minimize service delay times. The paper by Lee et al. [5] develops a radio frequency identification (RFID)-based sensing system for context information management using a P2P network architecture. This study focuses on a sensor network for ubiquitous computing capable of recognizing users entering and exiting the area around the network. The proposed method develops an RFID-...