Visible to the public A Probability based Model for Big Data Security in Smart City

TitleA Probability based Model for Big Data Security in Smart City
Publication TypeConference Paper
Year of Publication2019
AuthorsDattana, Vishal, Gupta, Kishu, Kush, Ashwani
Conference Name2019 4th MEC International Conference on Big Data and Smart City (ICBDSC)
Date PublishedJan. 2019
ISBN Number978-1-5386-8046-9
KeywordsAnalytical models, Big Data, big data security, bigraph, Computational modeling, Computing Theory, crisis response, critical data security, Data analysis, data analytics, data leakage, Data Leakage Detection, Data models, data objects, data privacy, disaster resilience, economic data, emergency management, energy data, environment data, graph theory, Guilt Model, highly sensitive data, IoT, organisational data, Organizations, personal data, probability, probability based model, pubcrawl, resilience, Resiliency, security, security of data, sensitive data sharing, smart applications, smart cities, smart city, smart city critical data, smart city data, smart technologies, smart traffic management system, transport data, Trusted Computing

Smart technologies at hand have facilitated generation and collection of huge volumes of data, on daily basis. It involves highly sensitive and diverse data like personal, organisational, environment, energy, transport and economic data. Data Analytics provide solution for various issues being faced by smart cities like crisis response, disaster resilience, emergence management, smart traffic management system etc.; it requires distribution of sensitive data among various entities within or outside the smart city,. Sharing of sensitive data creates a need for efficient usage of smart city data to provide smart applications and utility to the end users in a trustworthy and safe mode. This shared sensitive data if get leaked as a consequence can cause damage and severe risk to the city's resources. Fortification of critical data from unofficial disclosure is biggest issue for success of any project. Data Leakage Detection provides a set of tools and technology that can efficiently resolves the concerns related to smart city critical data. The paper, showcase an approach to detect the leakage which is caused intentionally or unintentionally. The model represents allotment of data objects between diverse agents using Bigraph. The objective is to make critical data secure by revealing the guilty agent who caused the data leakage.

Citation Keydattana_probability_2019