A Novel Methodology for Cloud of Things based Secure Higher Education Framework using Zero Knowledge Proof System

The cutting-edge technology, namely Cloud of Things (CoT) has shaped the existing business process into a new orientation in terms of performance, usability, and reliability. Among different business processes, online education is one of the prime areas where CoT can be used to make it more agile in the context of performance and usability. In this endeavor, a novel methodology has been proposed for an online higher education framework based on CoT. The proposed framework is made agile using Service Oriented Architecture (SOA). Furthermore, in order to make the proposed framework more reliable, a Zero Knowledge Proof (ZKPF) system has been introduced here. The proposed ZKPF algorithm is based on the Hadamard matrix. Experimental results have shown to lay bare the effectiveness of the proposed algorithms.

The E-Commerce Investment and Enterprise Performance Based on Customer Relationship Management

In the current dynamic and complex competitive environment, the implementation of enterprise e-commerce plays an important role in the development of external business process activities. Through the Internet, information sharing and business process collaboration between enterprises and customers can be realized. This kind of e-service activity based on e-commerce process is particularly important for customers. However, many business managers have some doubts about the implementation of customer service-oriented online business activities, because customer service-oriented online business activities need a lot of IT investment, and the performance of this e-business activities is not easy to measure.

The E-Commerce Investment and Enterprise Performance Based on Customer Relationship Management

In the current dynamic and complex competitive environment, the implementation of enterprise e-commerce plays an important role in the development of external business process activities. Through the Internet, information sharing and business process collaboration between enterprises and customers can be realized. This kind of e-service activity based on e-commerce process is particularly important for customers. However, many business managers have some doubts about the implementation of customer service-oriented online business activities, because customer service-oriented online business activities need a lot of IT investment, and the performance of this e-business activities is not easy to measure.

Research on Efficacy Evaluation of Large-Scale Networked Intelligent Perception System

Under the smart engineering system (SES), there is a huge demand for evaluating the efficacy of a large-scale networked intelligent perception system (IPS). Considering the large-scale, distributed, and networked system characteristics and perception task demands, this paper proposes a conceptual system for IPS efficacy evaluation and, on this basis, designs the architecture of the efficacy evaluation system. A networked IPS model is constructed based on domain ontology, an index system is quickly established for efficacy evaluation, the evaluation methods are assembled automatically, and adaptive real-time organization strategies are generated for networked perception based on efficacy estimate. After exploring these key technologies, a prototype system is created for the service-oriented integrated efficacy evaluation platform and used to verify and integrate research results. The research provides support for the efficacy evaluation theories and methods of large-scale networked IPS.

Ambient intelligence governance review: from service-oriented to self-service

The current generation of connected devices and the Internet of Things augment people’s capabilities through ambient intelligence. Ambient Intelligence (AmI) support systems contain applications consuming available services in the environment to serve users. A well-known design of these applications follows a service architecture style and implement artificial intelligence mechanisms to maintain an awareness of the context: The service architecture style enables the distribution of capabilities and facilitates interoperability. Intelligence and context-awareness provide an adaptation of the environment to improve the interaction. Smart objects in distributed deployments and the increasing machine awareness of devices and people context also lead us to architectures, including self-governed policies providing self-service. We have systematically reviewed and analyzed ambient system governance considering service-oriented architecture (SOA) as a reference model. We applied a systematic mapping process obtaining 198 papers for screening (out of 712 obtained after conducting searches in research databases). We then reviewed and categorized 68 papers related to 48 research projects selected by fulfilling ambient intelligence and SOA principles and concepts. This paper presents the result of our analysis, including the existing governance designs, the distribution of adopted characteristics, and the trend to incorporate service in the context-aware process. We also discuss the identified challenges and analyze research directions.

Decision Framework for Engaging Cloud-Based Big Data Analytics Vendors

Organizations face both opportunities and risks with big data analytics vendors, and the risks are now profound, as data has been likened to the oil of the digital era. The growing body of research at the nexus of big data analytics and cloud computing is examined from the economic perspective, based on agency theory (AT). A conceptual framework is developed for analyzing these opportunities and challenges regarding the use of big data analytics and cloud computing in e-business environments. This framework allows organizations to engage in contracts that target competitive parity with their service-oriented decision support system (SODSS) to achieve a competitive advantage related to their core business model. A unique contribution of this paper is its perspective on how to engage a vendor contractually to achieve this competitive advantage. The framework provides insights for a manager in selecting a vendor for cloud-based big data services.