Evaluating the Risk of Adopting RBAC Roles

Abstract. We propose a framework to evaluate the risk incurred when managing users and permissions through RBAC. The risk analysis framework does not require roles to be defined, thus making it applicable before the role engineering phase. In particular, the proposed approach highlights users and permissions that markedly deviate from others, and that might consequently be prone to error when roles are operating. By focusing on such users and permissions during the role definition process, it is possible to mitigate the risk of unauthorized accesses and role misuse

Contextualizing Secure Information System Design: A Socio-Technical Approach

Secure Information Systems (SIS) design paradigms have evolved in generations to adapt to IS security needs. However, modern IS are still vulnerable and are far from secure. The development of an underlying IS cannot be reduced to “technological fixes” neither is the design of SIS. Technical security cannot ensure IS security. Generations of SIS design paradigms have evolved, all with their own sets of shortcomings. A SIS design paradigm must meet well-defined requirements, yet contemporary paradigms do not meet all these requirements. Current SIS design paradigms are not easily applicable to IS. They lack a comprehensive modeling support and ignore the socio-technical organizational role of IS security. This research introduced the use of action research in design science research. Design science paradigm was leveraged to introduce a meta-design artifact explaining how IS requirements including security requirements can be incorporated in the design of SIS. The introduced artifact CSIS provided design comprehensiveness to emergent and changing requirements to IS from a socio-technical perspective. The CSIS artifact meets secure system meta-design requirements. This study presented a secure IS design principle that ensures IS security

An access control and authorization model with Open stack cloud for Smart Grid

In compare to Authentication for identification and relationship of an identity of a user with its task and process within the system, authorization in access control is much anxious about confirming that user and its task in the form of system process, access to the assets of any particular domain is only approved when proven obedient to the identified policies. Access control and authorization is always an area of interest for researchers for enhancing security of critical assets from many decades. Our prime focus and interest is in the field of access control model based on Attribute base access control (ABAC) and with this paper we tried to integrate ABAC with openstack cloud for achieving finer level of granularity in access policies for domain like smart grid. Technical advancement of current era demands that critical infrastructure like traditional electrical grid open ups to the modern information and communication technology to get the benefit in terms of efficiency, scalability, accessibility and transparency for better adaptability in real world. Incorporation of ICT with electric grid makes it possible to do greater level of bi-directional interaction among stake holders like customer, generation units, distribution units and administrations and these leads international organization to contribute for standardization of smart grid concepts and technology so that the realization of smart grid becomes reality. Smart grid is a distributed system of very large scale by its nature and needs to integrate available legacy systems with its own security requirements. Cloud computing proven to be most efficient approach for said requirements and we have identified openstack as our cloud platform. We have integrated ABAC approach with default RBAC approach of openstack and provide a frame work that supports and integrate multiple access control polices in making authorization decisions. Smart grid domain in considered as case study which requires support of multiple access policies (RBAC, ABAC or DAC etc) with our model for access control and authorization

A Knowledge-Constrained Role-Based Access Control model for protecting patient privacy in hospital information systems

Current access control mechanisms of the hospital information system can hardly identify the real access intention of system users. A relaxed access control increases the risk of compromise of patient privacy. To reduce unnecessary access of patient information by hospital staff, this paper proposes a Knowledge-Constrained Role-Based Access Control (KCRBAC)model in which a variety of medical domain knowledge is considered in access control. Based on the proposed Purpose Tree and knowledge-involved algorithms, the model can dynamically define the boundary of access to the patient information according to the context, which helps protect patient privacy by controlling access. Compared with the Role-Based Access Control model, KC-RBAC can effectively protectpatient information according to the results of the experiments

An Access Control Model to Facilitate Healthcare Information Access in Context of Team Collaboration

The delivery of healthcare relies on the sharing of patients information among a group of healthcare professionals (so-called multidisciplinary teams (MDTs)). At present, electronic health records (EHRs) are widely utilized system to create, manage and share patient healthcare information among MDTs. While it is necessary to provide healthcare professionals with privileges to access patient health information, providing too many privileges may backfire when healthcare professionals accidentally or intentionally abuse their privileges. Hence, finding a middle ground, where the necessary privileges are provided and malicious usage are avoided, is necessary. This thesis highlights the access control matters in collaborative healthcare domain. Focus is mainly on the collaborative activities that are best accomplished by organized MDTs within or among healthcare organizations with an objective of accomplishing a specific task (patient treatment). Initially, we investigate the importance and challenges of effective MDTs treatment, the sharing of patient healthcare records in healthcare delivery, patient data confidentiality and the need for flexible access of the MDTs corresponding to the requirements to fulfill their duties. Also, we discuss access control requirements in the collaborative environment with respect to EHRs and usage scenario of MDTs collaboration. Additionally, we provide summary of existing access control models along with their pros and cons pertaining to collaborative health systems. Second, we present a detailed description of the proposed access control model. In this model, the MDTs is classified based on Belbin’s team role theory to ensure that privileges are provided to the actual needs of healthcare professionals and to guarantee confidentiality as well as protect the privacy of sensitive patient information. Finally, evaluation indicates that our access control model has a number of advantages including flexibility in terms of permission management, since roles and team roles can be updated without updating privilege for every user. Moreover, the level of fine-grained control of access to patient EHRs that can be authorized to healthcare providers is managed and controlled based on the job required to meet the minimum necessary standard and need-to-know principle. Additionally, the model does not add significant administrative and performance overhead.publishedVersio

Role-Based Access-Control for Databases

Liikudes üha enam paberivaba ari suunas, hoitakse üha enam tundlikku informatsiooni andmebaasides. Sellest tulenevalt on andmebaasid ründajatele väärtuslik sihtmärk. Levinud meetod andmete kaitseks on rollipõhine ligipääsu kontroll (role-based access control), mis piirab süsteemi kasutajate õiguseid vastavalt neile omistatud rollidele. Samas on turvameetmete realiseerimine arendajate jaoks aeganõudev käsitöö, mida teostatakse samaaegselt rakenduse toimeloogika realiseerimisega. Sellest tulenevalt on raskendatud turva vajaduste osas kliendiga läbirääkimine projekti algfaasides. See omakorda suurendab projekti reaalsete arenduskulude kasvamise riski, eriti kui ilmnevad turvalisuse puudujäägid realisatsioonis. Tänapäeva veebirakendustes andmebaasi ühenduste puulimine (connec-tion pooling ), kus kasutatakse üht ja sama ühendust erinevate kasutajate teenindamiseks, rikub vähima vajaliku õiguse printsiipi. Kõikidel ühendunud kasutajatel on ligipääs täpselt samale hulgale andmetele, mille tulemusena võib lekkida tundlik informatsioon (näiteks SQLi süstimine (SQL injection ) või vead rakenduses). Lahenduseks probleemile pakume välja vahendid rollipõhise ligipääsu kontorolli disainimiseks tarkvara projekteerimise faasis. Rollipõhise ligipääsu kontorolli modelleerimiseks kasutame UML'i laiendust SecureUML. Antud mudelist on võimalik antud töö raames valminud vahenditega genereerida koodi, mis kontrollib ligipääsu õiguseid andmebaasi tasemel. Antud madaltasemekontroll vähendab riski, et kasutajad näevad andmeid, millele neil ligipääsu õigused puuduvad. Antud töös läbiviidud uuring näitas, et mudelipõhine turvalisuse arendamise kvaliteet on kõrgem võrreldes programmeerijate poolt kirjutatud koodiga. Kuna turvamudel on loodud projekteerimise faasis on selle semantiline täielikkus ja korrektsus kõrge, millest tulenevalt on seda kerge lugeda ja muuta ning seda on lihtsam kasutada arendajate ja klientide vahelises suhtluses.With the constant march towards a paperless business environment, database systems are increasingly being used to hold more and more sensitive information. This means they present an increasingly valuable target for attackers. A mainstream method for information system security is Role-based Access Control (RBAC), which restricts system access to authorised users. However the implementation of the RBAC policy remains a human intensive activity, typically, performed at the implementation stage of the system development. This makes it difficult to communicate security solutions to the stakeholders earlier and raises the system development cost, especially if security implementation errors are detected. The use of connection pooling in web applications, where all the application users connect to the database via the web server with the same database connection, violates the the principle of minimal privilege. Every connected user has, in principle, access to the same data. This may leave the sensitive data vulnerable to SQL injection attacks or bugs in the application. As a solution we propose the application of the model-driven development to define RBAC mechanism for data access at the design stages of the system development. The RBAC model created using the SecureUML approach is automatically translated to source code, which implements the modelled security rules at the database level. Enforcing access-control at this low level limits the risk of leaking sensitive data to unauthorised users. In out case study we compared SecureUML and the traditional security model, written as a source code, mixed with business logic and user-interface statements. The case study showed that the model-driven security development results in significantly better quality for the security model. Hence the security model created at the design stage contains higher semantic completeness and correctness, it is easier to modify and understand, and it facilitates a better communication of security solutions to the system stakeholders than the security model created at the implementation stage

Self-adaptive Authorisation Infrastructures

Traditional approaches in access control rely on immutable criteria in which to decide and award access. These approaches are limited, notably when handling changes in an organisation’s protected resources, resulting in the inability to accommodate the dynamic aspects of risk at runtime. An example of such risk is a user abusing their privileged access to perform insider attacks. This thesis proposes self-adaptive authorisation, an approach that enables dynamic access control. A framework for developing self-adaptive authorisation is defined, where autonomic controllers are deployed within legacy based authorisation infrastructures to enable the runtime management of access control. Essential to the approach is the use of models and model driven engineering (MDE). Models enable a controller to abstract from the authorisation infrastructure it seeks to control, reason about state, and provide assurances over change to access. For example, a modelled state of access may represent an active access control policy. Given the diverse nature in implementations of authorisation infrastructures, MDE enables the creation and transformation of such models, whereby assets (e.g., policies) can be automatically generated and deployed at runtime. A prototype of the framework was developed, whereby management of access control is focused on the mitigation of abuse of access rights. The prototype implements a feedback loop to monitor an authorisation infrastructure in terms of modelling the state of access control and user behaviour, analyse potential solutions for handling malicious behaviour, and act upon the infrastructure to control future access control decisions. The framework was evaluated against mitigation of simulated insider attacks, involving the abuse of access rights governed by access control methodologies. In addition, to investigate the framework’s approach in a diverse and unpredictable environment, a live experiment was conducted. This evaluated the mitigation of abuse performed by real users as well as demonstrating the consequence of self-adaptation through observation of user response

Access control technologies for Big Data management systems: literature review and future trends

Abstract Data security and privacy issues are magnified by the volume, the variety, and the velocity of Big Data and by the lack, up to now, of a reference data model and related data manipulation languages. In this paper, we focus on one of the key data security services, that is, access control, by highlighting the differences with traditional data management systems and describing a set of requirements that any access control solution for Big Data platforms may fulfill. We then describe the state of the art and discuss open research issues