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Intelligent Broker Design for IoT Using a Multi-Cloud Environment
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Author(s): Balachandar S. (CMR Institute of Technology, Visvesvaraya Technological University, India)and Chinnaiyan R. (Presidency University, India)
Copyright: 2023
Pages: 19
Source title:
Convergence of Deep Learning and Internet of Things: Computing and Technology
Source Author(s)/Editor(s): T. Kavitha (New Horizon College of Engineering (Autonomous), India & Visvesvaraya Technological University, India), G. Senbagavalli (AMC Engineering College, Visvesvaraya Technological University, India), Deepika Koundal (University of Petroleum and Energy Studies, Dehradun, India), Yanhui Guo (University of Illinois, USA)and Deepak Jain (Chongqing University of Posts and Telecommunications, China)
DOI: 10.4018/978-1-6684-6275-1.ch002
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Abstract
Data privacy is the common concern across different enterprises- applications deployed in multi-cloud environment will make it more challenging for the cyber security team to monitor the application traffic simultaneously to prevent any attacks or data leak or data privacy breaches. Handling different data privacy issues always demands for a complete visibility over data flow, which ensures to prevent vulnerability points, and best way to handle sensitive and personal data with right data retention policies and data protection schemes. Articulation of data privacy features from different cloud providers, particularly with their service and deployment model, help to plan cybersecurity teams and build the necessary security analytical models to predict and prevent the data privacy theft and attacks.
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