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Research Journal of Engineering and Technology
Year : 2018, Volume : 9, Issue : 4
First page : ( 363) Last page : ( 372)
Print ISSN : 0976-2973. Online ISSN : 2321-581X.
Article DOI : 10.5958/2321-581X.2018.00049.1

Securing Fog Gateways with Assured Quality of Service

George Geogen1,*, Anil Aditya2,**

1Assistant Professor (Sr. G), Department of IT, School of Computing, SRM University, Chennai, India

2Information Security and Cyber, Forensics (M-Tech), SRM University, Chennai, India

*Corresponding Author E-mail: 121fa04060@gmail.com


Online published on 18 May, 2019.


Fog Computing is a horizontal architecture that distributes computing, storage, control and networking functions closer to users along the cloud-to-thing continuum. It is very critical for the fog gateway to efficiently manage and distribute the resources to the devices without compromising the Quality of Service and the Security of the system, as it is limited with small amount of computation, storage and memory resources. In a scenario where the Fog gateway holds limited resources and there are numerous devices connected to it, the fog gateway must be able to decide which packet must be processed first according to their priority and Queuing mechanisms. At the same time, the incoming packets will be encrypted with different algorithms, the gateway should be able to identify and decrypt it. If there is a malicious node sending malicious requests the gateway must detect those, all these will require processing resource. But, due to limited resources on the gateway's end we must optimize the QoS without compromising on the security aspects. In the Project we like to study the strength and weakness of existing protocols and how QoS is affected when secure packets reach Fog Gateways. With this info, we like to propose best Secure Cryptographic algorithms suited for Energy and compute constrained WSN and Fog Gateways without compromising QoS to a large extent.



Quality of Service, Control Topology, Internet of Things, Fog Computing, Simulation, Wireless, Paralleland Distributed, Simulation, resource allocation, Cloud Computing, Edge Computing, Resource Management, Network Security.


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