Personal data breach notification system in the European Union: Interpretation of “without undue delay”

This is the post-print version of the Article - Copyright @ 2011 Kluwer Law InternationalThe fast-moving technologies continually challenge present rules on data-privacy protection. The expansion of computing functions, speed of processing and storage capabilities makes personal information difficult to be controlled. In the EU, the revised EC e-Privacy Directive amended by the Directive 2009/136/EC modifies existing provisions and makes new provisions to enhance privacy protection in the electronic communications sector, which includes the further development of the system of notification of the personal data breach to minimise adverse effects. This paper aims to examine and evaluate the personal data breach notification system, interpret the requirement of "without undue delay" duty and discuss the impact of the revised Directive to business organisations. It finally proposes solutions to improve the notification system to increase the efficiency of privacy protection

Privacy Protection in Web Search

This paper presents web search has demonstrated in improving the quality of various search services on the internet, user reluctance to disclose the private information during search has become major barrier for the wide proliferation of password. Protection in password authentication model user preferences as hierarchical user profiles, a password framework know as user profile search that can adaptively generalize profile by search query while respecting user specified privacy requirements. Our work provides utility of personalization and the privacy risk of exposing the generalized profile using Greedy algorithm is a method for deciding whether personalizing a query is efficient

Examined Lives: Informational Privacy and the Subject as Object

In the United States, proposals for informational privacy have proved enormously controversial. On a political level, such proposals threaten powerful data processing interests. On a theoretical level, data processors and other data privacy opponents argue that imposing restrictions on the collection, use, and exchange of personal data would ignore established understandings of property, limit individual freedom of choice, violate principles of rational information use, and infringe data processors\u27 freedom of speech. In this article, Professor Julie Cohen explores these theoretical challenges to informational privacy protection. She concludes that categorical arguments from property, choice, truth, and speech lack weight, and mask fundamentally political choices about the allocation of power over information, cost, and opportunity. Each debate, although couched in a rhetoric of individual liberty, effectively reduces individuals to objects of choices and trades made by others. Professor Cohen argues, instead, that the debate about data privacy protection should be grounded in an appreciation of the conditions necessary for individuals to develop and exercise autonomy in fact, and that meaningful autonomy requires a degree of freedom from monitoring, scrutiny, and categorization by others. The article concludes by calling for the design of both legal and technological tools for strong data privacy protection

The regulation of consumer credit information systems: A lesson from Italy?

The regulation of Consumer Credit information in Italy, the European context, and privacy protection. Could Italy's legislative approach provide an example for a legislative model to other EC member states

A Privacy Protection Mechanism for Mobile Online Social Networks

A Location sharing system is the most critical component in mobile online social networks (MOSNS).Huge number of user\u27s location information will be stored by the service providers. In addition to the location privacy and social network privacy cannot be guaranteed to the user in the earlier work. Regarding the enhanced privacy against the inside attacker implemented by the service provider in (MOSNS), we initiate a new architecture with multiple servers .It introduces a protected solution which supports a location sharing among friends and strangers. The user friend set in each query is submitted to the location server it divides into multiple subset by the location server. If the user makes a query to the server the data can be retrieved only for the registered users instead of all. We use Three Layer of Security likely, High, Medium and Low for the Privacy implementation. Simultaneously with a location sharing it offers check ability of the searching results reoccurred from the servers. We also prove that the new construction is safe under the stronger security model with enhanced privacy

Expressing Privacy Preferences in terms of Invasiveness

Dynamic context aware systems need highly flexible privacy protection mechanisms. We describe an extension to an existing RBAC-based mechanism that utilises a dynamic measure of invasiveness to determine whether contextual information should be released