Rethinking De-Perimeterisation: Problem Analysis And Solutions

For businesses, the traditional security approach is the hard-shell model: an organisation secures all its assets using a fixed security border, trusting the inside, and distrusting the outside. However, as technologies and business processes change, this model looses its attractiveness. In a networked world, “inside” and “outside” can no longer be clearly distinguished. The Jericho Forum - an industry consortium part of the Open Group – coined this process deperimeterisation and suggested an approach aimed at securing data rather than complete systems and infrastructures. We do not question the reality of de-perimeterisation; however, we believe that the existing analysis of the exact problem, as well as the usefulness of the proposed solutions have fallen short: first, there is no linear process of blurring boundaries, in which security mechanisms are placed at lower and lower levels, until they only surround data. To the contrary, we experience a cyclic process of connecting and disconnecting of systems. As conditions change, the basic trade-off between accountability and business opportunities is made (and should be made) every time again. Apart from that, data level security has several limitations to start with, and there is a big potential for solving security problems differently: by rearranging the responsibilities between businesses and individuals. The results of this analysis can be useful for security professionals who need to trade off different security mechanisms for their organisations and their information systems

A conditional role-involved purpose-based access control model

This paper presents a role-involved conditional purpose-based access control (RCPBAC) model, where a purpose is defined as the intension of data accesses or usages. RCPBAC allows users using some data for certain purpose with conditions. The structure of RCPBAC model is defined and investigated. An algorithm is developed to achieve the compliance computation between access purposes (related to data access) and intended purposes (related to data objects) and is illustrated with role-based access control (RBAC) to support RCPBAC. According to this model, more information from data providers can be extracted while at the same time assuring privacy that maximizes the usability of consumers' data. It extends traditional access control models to a further coverage of privacy preserving in data mining environment as RBAC is one of the most popular approach towards access control to achieve database security and available in database management systems. The structure helps enterprises to circulate clear privacy promise, to collect and manage user preferences and consent

De-perimeterisation as a cycle: tearing down and rebuilding security perimeters

If an organisation wants to secure its IT assets, where should the security mechanisms be placed? The traditional view is the hard-shell model, where an organisation secures all its assets using a fixed security border: What is inside the security perimeter is more or less trusted, what is outside is not. Due to changes in technologies, business processes and their legal environments this approach is not adequate anymore.\ud This paper examines this process, which was coined de-perimeterisation by the Jericho Forum.\ud In this paper we analyse and define the concepts of perimeter and de-perimeterisation, and show that there is a long term trend in which de-perimeterisation is iteratively accelerated and decelerated. In times of accelerated de-perimeterisation, technical and organisational changes take place by which connectivity between organisations and their environment scales up significantly. In times of deceleration, technical and organisational security measures are taken to decrease the security risks that come with de-perimeterisation, a movement that we call re-perimeterisation. We identify the technical and organisational mechanisms that facilitate de-perimeterisation and re-perimeterisation, and discuss the forces that cause organisations to alternate between these two movements

Analysis of Existing Privacy-aware Access Control for E-Commerce Application

Due to the growing use of the internet, more and more critical processes are running over the web such as e-commerce. Internet allows commerce and business between parties who are physically distant and do not know each other doing the transaction. For the effective operation of the web application and e-commerce applications, security is a key issue. Various aspects of security are relevant to e-commerce such as database security. The availability of e-commerce, user transactions are no longer bound to traditional office-centered environment, but it can be started virtually anywhere at any time. It was moving from closed environment to open environment. In this paper, we clearly define the privacy-aware access control requirements. We also investigated few existing access control in the context of this requirements. We build an assessment criteria in our comparison based on the requirements defined which we finally used it later as a guidelines to design an access control for e-commerce application

An Approach for Managing Access to Personal Information Using Ontology-Based Chains

The importance of electronic healthcare has caused numerous changes in both substantive and procedural aspects of healthcare processes. These changes have produced new challenges to patient privacy and information secrecy. Traditional privacy policies cannot respond to rapidly increased privacy needs of patients in electronic healthcare. Technically enforceable privacy policies are needed in order to protect patient privacy in modern healthcare with its cross organisational information sharing and decision making. This thesis proposes a personal information flow model that specifies a limited number of acts on this type of information. Ontology classified Chains of these acts can be used instead of the "intended/business purposes" used in privacy access control to seamlessly imbuing current healthcare applications and their supporting infrastructure with security and privacy functionality. In this thesis, we first introduce an integrated basic architecture, design principles, and implementation techniques for privacy-preserving data mining systems. We then discuss the key methods of privacypreserving data mining systems which include four main methods: Role based access control (RBAC), Hippocratic database, Chain method and eXtensible Access Control Markup Language (XACML). We found out that the traditional methods suffer from two main problems: complexity of privacy policy design and the lack of context flexibility that is needed while working in critical situations such as the one we find in hospitals. We present and compare strategies for realising these methods. Theoretical analysis and experimental evaluation show that our new method can generate accurate data mining models and safe data access management while protecting the privacy of the data being mined. The experiments followed comparative kind of experiments, to show the ease of the design first and then follow real scenarios to show the context flexibility in saving personal information privacy of our investigated method

Quantifying Performance Costs of Database Fine-Grained Access Control

Fine-grained access control is a conceptual approach to addressing database security requirements. In relational database management systems, fine-grained access control refers to access restrictions enforced at the row, column, or cell level. While a number of commercial implementations of database fine-grained access control are available, there are presently no generalized approaches to implementing fine-grained access control for relational database management systems. Fine-grained access control is potentially a good solution for database professionals and system architects charged with designing database applications that implement granular security or privacy protection features. However, in the oral tradition of the database community, fine-grained access control is spoken of as imposing significant performance penalties, and is therefore best avoided. Regardless, there are current and emerging social, legal, and economic forces that mandate the need for efficient fine-grained access control in relational database management systems. In the study undertaken, the author was able to quantify the performance costs associated with four common implementations of fine-grained access control for relational database management systems. Security benchmarking was employed as the methodology to quantify performance costs. Synthetic data from the TPC-W benchmark as well as representative data from a real-world application were utilized in the benchmarking process. A simple graph-base performance model for Fine-grained Access Control Evaluation (FACE) was developed from benchmark data collected during the study. The FACE model is intended for use in predicting throughput and response times for relational database management systems that implement fine-grained access control using one of the common fine-grained access control mechanisms - authorization views, the Hippocratic Database, label-based access control, and transparent query rewrite. The author also addresses the issue of scalability for fine-grained access control mechanisms that were evaluated in the study

Integration of situational and reward elements for fair privacy principles and preferences (F3P)

It is widely acknowledged that Information Privacy is subjective in nature and contextually influenced. Individuals value their personal privacy differently with many willing to trade-off of privacy for some form of reward or personal gain. Many of the proposed privacy protection schemes do not give due consideration to the contextual, and more importantly situational influence on privacy. Rather privacy preferences for personal data are configurable for only a limited set of notions that include purpose, recipient, category, and condition. Current solutions offer no, or very limited, support for individual situational privacy preferences. This paper proposes a conceptual framework that allows entities to assign privacy preferences to their personal data items that incorporate situation and reward elements. The solution allows entities to assign trade-off values to their personal data based on the situation and context of the data request. In this manner the data owners set what they perceive as fair privacy practices and preferences for evaluating the worth of their personal data