Software Based Risk Management in Internet of Things Using Machine Learning Techniques

Software Based Risk Management in Internet of Things Using Machine Learning Techniques

dc.contributor.guide	Suresh, S
dc.coverage.spatial
dc.creator.researcher	Gouthaman Panneerselvam
dc.date.accessioned	2022-08-04T09:54:46Z
dc.date.available	2022-08-04T09:54:46Z
dc.date.awarded
dc.date.completed	2022
dc.date.registered
dc.description.abstract	There are many software process models being practiced in the IT industry, newlinehowever, choosing the right one steers the project towards success. It is challenging to newlinedecide the appropriate software process model after hearing off the project requirements newlinefrom the client. In addition, managing risks within the software development is an newlineextremely imperative task to be handled. With the rising digital requirements, handling newlinesuch situations and autonomously coordinating among the IoT-Fog systems for fast data newlineprocessing and transmission among the objects are required. The above issues encouraged newlineus towards identifying an efficient software model using certain set of parameters for newlineapplying towards Fog and Cloud environments newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/397393
dc.language	English
dc.publisher.institution	Department of Computer Science Engineering
dc.publisher.place	Kattankulathur
dc.publisher.university	SRM Institute of Science and Technology
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Cybernetics
dc.subject.keyword	Engineering and Technology
dc.title	Software Based Risk Management in Internet of Things Using Machine Learning Techniques
dc.title.alternative
dc.type.degree	Ph.D.