A sensor node senses the environment and generated the data. Due to this energy constraint, efficient routing protocol comes into picture. Sensor nodes are randomly distributed in the network and have limited energy. Nowadays Wireless sensor network achieve much attention due to its several real time applications like in military works, fire detection, temperature sensing etc. The results showed that mist computing can assist the fog andĬloud computing hold an immense promise for analysis of big data in geospatialĪpplication particularly in the management of Ganga river basin. Validated by doing preliminary analysis including K Means clustering and We developed MistGIS framework for Ganga River This paperĭeveloped a mist computing based framework for mining analytics from Mining analytics in geospatial big data from geospatial application. It discusses the emergence of mist computing for Reduce the latency period and increase throughput for assisting at the near ofĮdge device of the client. Mist computing is also one of the paradigm where fog devices help to Geospatial data analysis with the help of cloud and fog computingĪre one of the emerging area for processing, storing and analysis of geospatialĭata. Finally, It concludes with the comparison analysis of cloud based framework and proposed SoA-Mist framework. Overlay analysis has been performed with the developed framework on malaria vector borne disease positive maps of Maharastra state in India from 2011 to 2014 in mobile clients as test case. It has defined the prototype development by using win-win spiral model with use case and sequence diagram. It proposed the security aspects in client layer, mist layer, fog layer and cloud layer. a three-tier secure framework for efficient management of geospatial health data with the use of mist devices. The present research paper proposed SoA-Mist i.e. Results and discussion support the efficacy of proposed architecture for smart geospatial health applications. In the present paper, we proposed a secure mist Computing architecture that is validated on recently released public geospatial health dataset. Mist computing reduces latency and increases throughput by processing data near the edge of the network. The smart health paradigms employ Internet-connected wearables for tele-monitoring, diagnosis providing inexpensive healthcare solutions. Finally, the analysis of results demonstrated that the proposed authentication framework carries the ability to fulfil the requirements of securing the virtual agents in the UK banks from external and internal cyber threats. A simulation was used to validate accessibility, scalability, security and vulnerability of the proposed authentication framework. The proposed framework considers several security standards and controls to ensure that the proposed framework fits for the purpose. Therefore, this research was conducted to fill the knowledge gap by proposing an authentication framework for the banking virtual agents. Moreover, it produces the risk of exposing sensitive customer data. This forms a vulnerability for the banks while providing an opportunity for cyber attackers to attack the endpoints of the virtual agents. The previous literature lacks the knowledge of a suitable authentication framework for the virtual agents use in the UK banking industry. Therefore, virtual agents inherit this concern. Security and privacy are the ultimate concern for any e-banking system or application. This creates opportunities for businesses such as banks to adapt virtual agents for banking operations. The exponential growth and advancements of information technology and artificial intelligence significantly enhance the capabilities of virtual agents.
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