Android Applications Privacy Risk Assessment

2017 ◽  
pp. 99-116
Author(s):  
Dimitris Geneiatakis ◽  
Charalabos Medentzidis ◽  
Ioannis Kounelis ◽  
Gary Steri ◽  
Igor Nai Fovino
Keyword(s):  
Risk Assessment ◽  
Privacy Risk ◽  
Android Applications

scholarly journals Security and Privacy Risk Assessment of Energy Big Data in Cloud Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhiru Li ◽  
Wei Xu ◽  
Huibin Shi ◽  
Yuanyuan Zhang ◽  
Yan Yan
Keyword(s):  
Neural Network ◽  
Risk Factors ◽  
Risk Assessment ◽  
Big Data ◽  
Data Storage ◽  
Bp Neural Network ◽  
Security And Privacy ◽  
Cloud Environment ◽  
Privacy Risk ◽  
Whole Life Cycle

Considering the importance of energy in our lives and its impact on other critical infrastructures, this paper starts from the whole life cycle of big data and divides the security and privacy risk factors of energy big data into five stages: data collection, data transmission, data storage, data use, and data destruction. Integrating into the consideration of cloud environment, this paper fully analyzes the risk factors of each stage and establishes a risk assessment index system for the security and privacy of energy big data. According to the different degrees of risk impact, AHP method is used to give indexes weights, genetic algorithm is used to optimize the initial weights and thresholds of BP neural network, and then the optimized weights and thresholds are given to BP neural network, and the evaluation samples in the database are used to train it. Then, the trained model is used to evaluate a case to verify the applicability of the model.

A Decision Support System for Privacy Compliance

2012 ◽  
pp. 158-180 ◽  
Author(s):  
Siani Pearson ◽  
Tomas Sander
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Personal Information ◽  
Regulatory Compliance ◽  
Privacy Management ◽  
Privacy Risk ◽  
Global Company

Regulatory compliance in areas such as privacy has become a major challenge for organizations. In large organizations there can be hundreds or thousands of projects that involve personal information. Ensuring that all those projects properly take privacy considerations into account is a complex challenge for accountable privacy management. Accountable privacy management requires that an organization makes sure that all relevant projects are in compliance and that there is evidence and assurance that this actually is the case. To date, there has been no suitable automated, scalable support for accountable privacy management; it is such a tool that the authors describe in this chapter. Specifically, they describe a privacy risk assessment and compliance tool which they are developing and rolling out within a large, global company – called HP Privacy Advisor (HP PA) – and its generalisation and extension. The authors also bring out those security, privacy, risk, and trust-related aspects they have been researching related to this work in particular.

A Decision Support System for Privacy Compliance

Data Mining ◽  
2013 ◽  
pp. 1496-1518 ◽  
Author(s):  
Siani Pearson ◽  
Tomas Sander
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Personal Information ◽  
Regulatory Compliance ◽  
Privacy Management ◽  
Privacy Risk ◽  
Global Company

Regulatory compliance in areas such as privacy has become a major challenge for organizations. In large organizations there can be hundreds or thousands of projects that involve personal information. Ensuring that all those projects properly take privacy considerations into account is a complex challenge for accountable privacy management. Accountable privacy management requires that an organization makes sure that all relevant projects are in compliance and that there is evidence and assurance that this actually is the case. To date, there has been no suitable automated, scalable support for accountable privacy management; it is such a tool that the authors describe in this chapter. Specifically, they describe a privacy risk assessment and compliance tool which they are developing and rolling out within a large, global company – called HP Privacy Advisor (HP PA) – and its generalisation and extension. The authors also bring out those security, privacy, risk, and trust-related aspects they have been researching related to this work in particular.

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