Privacy enhancing technologies (PETs) for connected vehicles in smart cities

This is an accepted manuscript of an article published by Wiley in Transactions on Emerging Telecommunications Technologies, available online: https://doi.org/10.1002/ett.4173 The accepted version of the publication may differ from the final published version.Many Experts believe that the Internet of Things (IoT) is a new revolution in technology that has brought many benefits for our organizations, businesses, and industries. However, information security and privacy protection are important challenges particularly for smart vehicles in smart cities that have attracted the attention of experts in this domain. Privacy Enhancing Technologies (PETs) endeavor to mitigate the risk of privacy invasions, but the literature lacks a thorough review of the approaches and techniques that support individuals' privacy in the connection between smart vehicles and smart cities. This gap has stimulated us to conduct this research with the main goal of reviewing recent privacy-enhancing technologies, approaches, taxonomy, challenges, and solutions on the application of PETs for smart vehicles in smart cities. The significant aspect of this study originates from the inclusion of data-oriented and process-oriented privacy protection. This research also identifies limitations of existing PETs, complementary technologies, and potential research directions.Published onlin

Trusted tamper-evident data provenance

Data provenance, the origin and derivation history of data, is commonly used for security auditing, forensics and data analysis. While provenance loggers provide evidence of data changes, the integrity of the provenance logs is also critical for the integrity of the forensics process. However, to our best knowledge, few solutions are able to fully satisfy this trust requirement. In this paper, we propose a framework to enable tamper-evidence and preserve the confidentiality and integrity of data provenance using the Trusted Platform Module (TPM). Our framework also stores provenance logs in trusted and backup servers to guarantee the availability of data provenance. Tampered provenance logs can be discovered and consequently recovered by retrieving the original logs from the servers. Leveraging on TPM's technical capability, our framework guarantees data provenance collected to be admissible, complete, and confidential. More importantly, this framework can be applied to capture tampering evidence in large-scale cloud environments at system, network, and application granularities. We applied our framework to provide tamper-evidence for Progger, a cloud-based, kernel-space logger. Our results demonstrate the ability to conduct remote attestation of Progger logs' integrity, and uphold the completeness, confidential and admissible requirements

The Impact of Marketing Financial Services on Value Behaviors Through Loyality and Satisfaction of Customer of Arab Bank in Jordan

The study aimed to know the relationship between marketing of financial services in public sector banks with special reference to Arab bank in Jordan. The analysis of the data acquired from the customers of the Arab bank in Jordan provides meaningful insights into Perceived financial service quality, Perceived financial service orientation, marketing mix strategy, customer satisfaction, customer loyalty and Value in behavior. Further, the research investigates the direct and indirect association among the study variables. The preliminary analysis discloses that the means of all the study variables. It was found that the Perceived financial service Quality and Marketing mix strategy has a significant positive association with Value in behavior. Further, Perceived Financial service quality has a positive significant association with customer satisfaction and customer loyalty in the Arab bank in Jordan. Additionally, Perceived financial service orientation has a positive significant relationship with customer satisfaction and customer loyalty. Further, a Marketing mix strategy has a positive significant relationship with customer satisfaction and customer loyalty. At last, customer satisfaction and customer loyalty have a positive significant relationship with Value in behavior. Further, it was found that perceived financial service orientation has a negative significant relationship with Value in behavior. Besides, Customer satisfaction and Customer loyalty partially mediate the relationship between Perceived financial service quality and Value in behavior. Likewise, Customer satisfaction and customer loyalty cannot mediate the relationship between Perceived financial service orientation and Value in behavior because hypothesis is rejected. Therefore. Finally, Customer satisfaction and Customer loyalty partially mediate the relationship between Marketing mix strategy and Value in behavior were partially supported