Mandatory Access Control Method for Windows Embedded OS Security

The Windows Embedded operating system (OS) adopts a discretionary access control (DAC)-based policy, but underlying vulnerabilities exist because of external hacker attacks and other factors. In this study, we propose a system that improves the security of the Windows Embedded OS by applying a mandatory access control (MAC) policy in which the access rights of objects, such as files and folders, and subjects’ privileges, such as processes, are compared. We conducted access control tests to verify whether the proposed system could avoid the vulnerabilities of DAC-based systems. Our results indicate that the existing DAC-based security systems could be neutralized if a principal's security policy is removed. However, in the proposed MAC-based Windows Embedded OS, even if the clearance and category values of a subject’s files are given the highest rating, all accesses are automatically denied. Therefore, the execution of all files that were not previously registered on the whitelist was denied, proving that security was improved relative to DAC-based systems.

TRUST- BASED MODELING MAC-TYPE ACCESS CONTROL THROUGH ACCESS AND ACTIONS CONTROL POLICIES

In recent decades, the number of researches on access control and user actions in computer systems has increased. Over time, there have been two models of implementing Mandatory Access Control (MAC) policies for government institutions and Discretionary Access Control (DAC) for the business environment, policies that various access control modeling solutions seek to implement. Among the access control modeling solutions developed are Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC), presented in the U.S.A. by the National Institute of Standard and Technology (NIST). In Romania, in 2010, the access control solution based on trust was presented. This paper presents Mandatory Access Control policy modeling using the trust-based access and actions control modeling solution.

Access Control Framework for Cloud Computing

Access control is generally a rule or procedure that allows, denies, restricts or limit access to system's resources. It may, as well, monitor and record all attempts made to access a system. Access Control may also identify users attempting to access unauthorized resources. It is a mechanism which is very much important for protection in computer security. Various access control models are in use, including the most common Mandatory Access Control (MAC), Discretionary Access Control (DAC) and Role Based Access Control (RBAC). All these models are known as identity based access control models. In all these access control models, user (subjects) and resources (objects) are identified by unique names. Identification may be done directly or through roles assigned to the subjects. These access control methods are effective in unchangeable distributed system, where there are only a set of Users with a known set of services. For this reason, we propose a framework which is well suited to many situations in cloud computing where users or applications can be clearly separated according to their job functions. In this chapter, we proposes a role based access control framework with various features including security of sensitive data, authorization policy and secure data from hackers. Our proposed role based access control algorithm provides tailored and fine level of user access control services without adding complexity, and supports access privileges updates dynamically when a user's role is added or updated.

Risk aware Access Control model for Trust Based collaborative organizations in cloud

Secure interactions between collaborative organizations having their applications and data stored in “Cloud Computing” are a critical issue. Access control is the biggest challenge and trust is regarded as an essential secured relationship within a distributed system. Basic access control models, like Discretionary Access Control, Mandatory Access Control, and Role Based Access Control, cannot satisfy requirements in such environment, and need some improvements. During the collaboration, the attitude of the user may change. Therefore, in this context, adding trust management to an access control model is mandatory. To achieve this goal, in this paper, a new trust model to control access in the cloud is proposed. The aim is to monitor in real-time security for collaborative organizations, having decided to migrate to the cloud.

Flexible dynamic information flow control in the presence of exceptions

We describe a language-based, dynamic information flow control (IFC) system called LIO. Our system presents a new design point for IFC, influenced by the challenge of implementing IFC as a Haskell library, as opposed to the more typical approach of modifying the language runtime system. In particular, we take a coarse-grained, floating-label approach, previously used by IFC Operating Systems, and associate a single, mutable label—thecurrent label—with all the data in a computation's context. This label is always raised to reflect the reading of sensitive information and it is used to restrict the underlying computation's effects. To preserve the flexibility of fine-grained systems, LIO also provides programmers with a means for associating an explicit label with a piece of data. Interestingly, these labeled values can be used to encapsulate the results of sensitive computations which would otherwise lead to the creeping of the current label. Unlike other language-based systems, LIO also bounds the current label with acurrent clearance, providing a form of discretionary access control that LIO programs can use to deal with covert channels. Moreover, LIO provides programmers with mutable references and exceptions. The latter, exceptions, are used in LIO to encode and recover from monitor failures, all while preserving data confidentiality and integrity—this addresses a longstanding concern that dynamic IFC is inherently prone to information leakage due to monitor failure.

A Semi-Formal Multi-Policy Secure Model for Semantic Spatial Trajectories

With the proliferation of locating devices, more and more raw spatial trajectories are formed, and many works enrich these raw trajectories with semantics, and mine patterns from both raw and semantic trajectories, but access control of spatial trajectories is not considered yet. We present a multi-policy secure model for semantic spatial trajectories. In our model, Mandatory Access Control, Role Based Access Control and Discretionary Access control are all enforced, separately and combined, and we represent the model semi-formally in Ontology Web Language.