EDSAC–An Efficient Dempster Shafer Algorithm for Classication to Estimate the Service, Security and Privacy Risks with the Service Providers

2021 ◽  
Author(s):  
C. Muralidharan ◽  
R. Anitha
Keyword(s):  
Service Providers ◽  
Security And Privacy ◽  
Privacy Risks

scholarly journals Provable Security for Outsourcing Database Operations

2010 ◽  
Vol 4 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Sergei Evdokimov ◽  
Matthias Fischmann ◽  
Oliver Günther
Keyword(s):  
Service Providers ◽  
Security And Privacy ◽  
Data Sets ◽  
Database Outsourcing ◽  
Confidential Data ◽  
Encryption Schemes ◽  
Database Operations ◽  
Definition Of ◽  
Database Service ◽  
Privacy Risks

Database outsourcing has become popular in recent years, although it introduces substantial security and privacy risks. In many applications, users may not want to reveal their data even to a generally trusted database service provider. Several researchers have proposed encryption schemes, such as privacy homomorphisms, that allow service providers to process confidential data sets without learning too much about them. In this paper, the authors discuss serious flaws of these solutions. The authors then present a new definition of security for homomorphic database encryption schemes that avoids these flaws and show that it is difficult to build a privacy homomorphism that complies with this definition. As a practical compromise, the authors present a relaxed variant of the security definition and discuss arising security implications. They present a new method to construct encryption schemes for exact selects and prove that the resulting schemes satisfy this notion.

scholarly journals Provable Security for Outsourcing Database Operations

Cyber Crime ◽  
2013 ◽  
pp. 1603-1619
Author(s):  
Sergei Evdokimov ◽  
Matthias Fischmann ◽  
Oliver Günther
Keyword(s):  
Service Providers ◽  
Security And Privacy ◽  
Data Sets ◽  
Database Outsourcing ◽  
Confidential Data ◽  
Encryption Schemes ◽  
Database Operations ◽  
Definition Of ◽  
Database Service ◽  
Privacy Risks

Database outsourcing has become popular in recent years, although it introduces substantial security and privacy risks. In many applications, users may not want to reveal their data even to a generally trusted database service provider. Several researchers have proposed encryption schemes, such as privacy homomorphisms, that allow service providers to process confidential data sets without learning too much about them. In this paper, the authors discuss serious flaws of these solutions. The authors then present a new definition of security for homomorphic database encryption schemes that avoids these flaws and show that it is difficult to build a privacy homomorphism that complies with this definition. As a practical compromise, the authors present a relaxed variant of the security definition and discuss arising security implications. They present a new method to construct encryption schemes for exact selects and prove that the resulting schemes satisfy this notion.

scholarly journals Privacy vs. Reward in Indoor Location-Based Services

2016 ◽  
Vol 2016 (4) ◽  
pp. 102-122 ◽  
Author(s):  
Kassem Fawaz ◽  
Kyu-Han Kim ◽  
Kang G. Shin
Keyword(s):  
Location Privacy ◽  
Indoor Localization ◽  
Service Providers ◽  
Location Based Services ◽  
Location Information ◽  
Privacy Concerns ◽  
Indoor Location ◽  
Location Data ◽  
Personalized Services ◽  
Privacy Risks

AbstractWith the advance of indoor localization technology, indoor location-based services (ILBS) are gaining popularity. They, however, accompany privacy concerns. ILBS providers track the users’ mobility to learn more about their behavior, and then provide them with improved and personalized services. Our survey of 200 individuals highlighted their concerns about this tracking for potential leakage of their personal/private traits, but also showed their willingness to accept reduced tracking for improved service. In this paper, we propose PR-LBS (Privacy vs. Reward for Location-Based Service), a system that addresses these seemingly conflicting requirements by balancing the users’ privacy concerns and the benefits of sharing location information in indoor location tracking environments. PR-LBS relies on a novel location-privacy criterion to quantify the privacy risks pertaining to sharing indoor location information. It also employs a repeated play model to ensure that the received service is proportionate to the privacy risk. We implement and evaluate PR-LBS extensively with various real-world user mobility traces. Results show that PR-LBS has low overhead, protects the users’ privacy, and makes a good tradeoff between the quality of service for the users and the utility of shared location data for service providers.

scholarly journals Privacy and Security Issues in Online Social Networks

2018 ◽  
Vol 10 (12) ◽  
pp. 114 ◽  
Author(s):  
Shaukat Ali ◽  
Naveed Islam ◽  
Azhar Rauf ◽  
Ikram Din ◽  
Mohsen Guizani ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Service Providers ◽  
Security And Privacy ◽  
Security Issue ◽  
Sensitive Data ◽  
Privacy And Security ◽  
Security Issues ◽  
Social Sphere

The advent of online social networks (OSN) has transformed a common passive reader into a content contributor. It has allowed users to share information and exchange opinions, and also express themselves in online virtual communities to interact with other users of similar interests. However, OSN have turned the social sphere of users into the commercial sphere. This should create a privacy and security issue for OSN users. OSN service providers collect the private and sensitive data of their customers that can be misused by data collectors, third parties, or by unauthorized users. In this paper, common security and privacy issues are explained along with recommendations to OSN users to protect themselves from these issues whenever they use social media.

scholarly journals Adaptive Secure Cross-Cloud Data Collaboration with Identity-Based Cryptography and Conditional Proxy Re-Encryption

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Qinlong Huang ◽  
Yue He ◽  
Wei Yue ◽  
Yixian Yang
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Security And Privacy ◽  
Broadcast Encryption ◽  
Cloud Data ◽  
Identity Based ◽  
Identity Based Cryptography ◽  
And Performance ◽  
Cryptographic Techniques ◽  
Data Collaboration

Data collaboration in cloud computing is more and more popular nowadays, and proxy deployment schemes are employed to realize cross-cloud data collaboration. However, data security and privacy are the most serious issues that would raise great concerns from users when they adopt cloud systems to handle data collaboration. Different cryptographic techniques are deployed in different cloud service providers, which makes cross-cloud data collaboration to be a deeper challenge. In this paper, we propose an adaptive secure cross-cloud data collaboration scheme with identity-based cryptography (IBC) and proxy re-encryption (PRE) techniques. We first present a secure cross-cloud data collaboration framework, which protects data confidentiality with IBC technique and transfers the collaborated data in an encrypted form by deploying a proxy close to the clouds. We then provide an adaptive conditional PRE protocol with the designed full identity-based broadcast conditional PRE algorithm, which can achieve flexible and conditional data re-encryption among ciphertexts encrypted in identity-based encryption manner and ciphertexts encrypted in identity-based broadcast encryption manner. The extensive analysis and experimental evaluations demonstrate the well security and performance of our scheme, which meets the secure data collaboration requirements in cross-cloud scenarios.

scholarly journals Improvement of Privacy and Security in Hybrid Cloud with Attribute Group Based Access Control

2019 ◽  
pp. 57-61
Author(s):  
Kayalvili S ◽  
Sowmitha V
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Security Requirements ◽  
Security And Privacy ◽  
Data Outsourcing ◽  
Privacy And Security ◽  
Control Approach

Cloud computing enables users to accumulate their sensitive data into cloud service providers to achieve scalable services on-demand. Outstanding security requirements arising from this means of data storage and management include data security and privacy. Attribute-based Encryption (ABE) is an efficient encryption system with fine-grained access control for encrypting out-sourced data in cloud computing. Since data outsourcing systems require flexible access control approach Problems arises when sharing confidential corporate data in cloud computing. User-Identity needs to be managed globally and access policies can be defined by several authorities. Data is dual encrypted for more security and to maintain De-Centralization in Multi-Authority environment.

Design and Implementation Approaches for Location-Based, Tourism-Related Services

2013 ◽  
pp. 258-294
Author(s):  
George Kakaletris ◽  
Dimitris Varoutas ◽  
Dimitris Katsianis ◽  
Thomas Sphicopoulos
Keyword(s):  
Service Providers ◽  
Value Added ◽  
Mobile Network ◽  
Mobile User ◽  
Security And Privacy ◽  
Related Services ◽  
Positioning Systems ◽  
Business Modelling ◽  
Tourism Services ◽  
Mobile Network Operators

The globally observed recession of mobile services market has pushed mobile network operators into looking for opportunities to provide value added services on top of their high cost infrastructures. Recent advances in mobile positioning technologies enable services that make use of the mobile user location information, offering intuitive, attractive applications to the potential customer. Mobile tourism services are among the primary options to be considered by service providers for this new market. This chapter presents the key concepts, capabilities, and considerations of infrastructures and applications targeted to the mobile tourist, covering data and content delivery, positioning, systems’ interactions, platforms, protocols, security, and privacy as well as business modelling aspects.

scholarly journals eHealth Cloud Security Challenges: A Survey

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Yazan Al-Issa ◽  
Mohammad Ashraf Ottom ◽  
Ahmed Tamrawi
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Energy Savings ◽  
Service Providers ◽  
Healthcare Providers ◽  
Cloud Service ◽  
Cloud Security ◽  
Security And Privacy ◽  
Healthcare Industry ◽  
Sensitive Data

Cloud computing is a promising technology that is expected to transform the healthcare industry. Cloud computing has many benefits like flexibility, cost and energy savings, resource sharing, and fast deployment. In this paper, we study the use of cloud computing in the healthcare industry and different cloud security and privacy challenges. The centralization of data on the cloud raises many security and privacy concerns for individuals and healthcare providers. This centralization of data (1) provides attackers with one-stop honey-pot to steal data and intercept data in-motion and (2) moves data ownership to the cloud service providers; therefore, the individuals and healthcare providers lose control over sensitive data. As a result, security, privacy, efficiency, and scalability concerns are hindering the wide adoption of the cloud technology. In this work, we found that the state-of-the art solutions address only a subset of those concerns. Thus, there is an immediate need for a holistic solution that balances all the contradicting requirements.

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