On the Role of Primary and Secondary Assets in Adaptive Security: An Application in Smart Grids

peer-reviewedAdaptive security aims to protect valuable assets managed by a system, by applying a varying set of security controls. Engineering adaptive security is not an easy task. A set of effective security countermeasures should be identified. These countermeasures should not only be applied to (primary) assets that customers desire to protect, but also to other (secondary) assets that can be exploited by attackers to harm the primary assets. Another challenge arises when assets vary dynamically at runtime. To accommodate these variabilities, it is necessary to monitor changes in assets, and apply the most appropriate countermeasures at runtime. The paper provides three main contributions for engineering adaptive security. First, it proposes a modeling notation to represent primary and secondary assets, along with their variability. Second, it describes how to use the extended models in engineering security requirements and designing required monitoring functions. Third, the paper illustrates our approach through a set of adaptive security scenarios in the customer domain of a smart grid. We suggest that modeling secondary assets aids the deployment of countermeasures, and, in combination with a representation of assets variability, facilitates the design of monitoring function

On the inability of existing security models to cope with data mobility in dynamic organizations

Modeling tools play an important role in identifying threats in traditional\ud IT systems, where the physical infrastructure and roles are assumed\ud to be static. In dynamic organizations, the mobility of data outside the\ud organizational perimeter causes an increased level of threats such as the\ud loss of confidential data and the loss of reputation. We show that current\ud modeling tools are not powerful enough to help the designer identify the\ud emerging threats due to mobility of data and change of roles, because they\ud do not include the mobility of IT systems nor the organizational dynamics\ud in the security model. Researchers have proposed security models that\ud particularly focus on data mobility and the dynamics of modern organizations,\ud such as frequent role changes of a person. We show that none\ud of the current security models simultaneously considers the data mobility\ud and organizational dynamics to a satisfactory extent. As a result, none\ud of the current security models effectively identifies the potential security\ud threats caused by data mobility in a dynamic organization

Model the System from Adversary Viewpoint: Threats Identification and Modeling

Security attacks are hard to understand, often expressed with unfriendly and limited details, making it difficult for security experts and for security analysts to create intelligible security specifications. For instance, to explain Why (attack objective), What (i.e., system assets, goals, etc.), and How (attack method), adversary achieved his attack goals. We introduce in this paper a security attack meta-model for our SysML-Sec framework, developed to improve the threat identification and modeling through the explicit representation of security concerns with knowledge representation techniques. Our proposed meta-model enables the specification of these concerns through ontological concepts which define the semantics of the security artifacts and introduced using SysML-Sec diagrams. This meta-model also enables representing the relationships that tie several such concepts together. This representation is then used for reasoning about the knowledge introduced by system designers as well as security experts through the graphical environment of the SysML-Sec framework.Comment: In Proceedings AIDP 2014, arXiv:1410.322

Value-driven Security Agreements in Extended Enterprises

Today organizations are highly interconnected in business networks called extended enterprises. This is mostly facilitated by outsourcing and by new economic models based on pay-as-you-go billing; all supported by IT-as-a-service. Although outsourcing has been around for some time, what is now new is the fact that organizations are increasingly outsourcing critical business processes, engaging on complex service bundles, and moving infrastructure and their management to the custody of third parties. Although this gives competitive advantage by reducing cost and increasing flexibility, it increases security risks by eroding security perimeters that used to separate insiders with security privileges from outsiders without security privileges. The classical security distinction between insiders and outsiders is supplemented with a third category of threat agents, namely external insiders, who are not subject to the internal control of an organization but yet have some access privileges to its resources that normal outsiders do not have. Protection against external insiders requires security agreements between organizations in an extended enterprise. Currently, there is no practical method that allows security officers to specify such requirements. In this paper we provide a method for modeling an extended enterprise architecture, identifying external insider roles, and for specifying security requirements that mitigate security threats posed by these roles. We illustrate our method with a realistic example

A Design of MAC Model Based on the Separation of Duties and Data Coloring: DSDC-MAC

Among the access control methods for database security, there is Mandatory Access Control (MAC) model in which the security level is set to both the subject and the object to enhance the security control. Legacy MAC models have focused only on one thing, either confidentiality or integrity. Thus, it can cause collisions between security policies in supporting confidentiality and integrity simultaneously. In addition, they do not provide a granular security class policy of subjects and objects in terms of subjects\u27 roles or tasks. In this paper, we present the security policy of Bell_LaPadula Model (BLP) model and Biba model as one complemented policy. In addition, Duties Separation and Data Coloring (DSDC)-MAC model applying new data coloring security method is proposed to enable granular access control from the viewpoint of Segregation of Duty (SoD). The case study demonstrated that the proposed modeling work maintains the practicality through the design of Human Resources management System. The proposed model in this study is suitable for organizations like military forces or intelligence agencies where confidential information should be carefully handled. Furthermore, this model is expected to protect systems against malicious insiders and improve the confidentiality and integrity of data

The Farm, the City and the Emergence of Social Security

In this paper we study the social, demographic and economic origins of social security. The data for the U.S. and for a cross section of countries make it clear that urbanization and industrialization are strongly associated with the rise of social insurance. We describe a model economy in which demographics, technology, and social security are linked together. We study an economy with two locations (sectors), the farm (agricultural) and the city (industrial). The decision to migrate from rural to urban locations is endogenous and linked to productivity differences between the two locations and survival probabilities. Furthermore, the level of social security is determined by majority voting. We show that a calibrated version of this economy is consistent with the historical transformation in the United States. Initially a majority of voters live on the farm and do not want to implement social security. Once a majority of the voters move to the city, the median voter prefers a positive social security tax. In the model social security emerges and is sustained over time as a political and economic equilibrium. Modeling the political economy of social security within a model of structural change leads to a rich economic environment in which the median voter is identified by both age and location

Materials optimization for magnetic MEMS

By highlighting magnetomechanical effects such as the DeltaE-effect, and developing modeling code that integrates magnetoelasticity with microelectromechanical systems, it is shown that a simple cantilever system can have a sensitivity to mass loading at the attogram level. The requirements on the magnetoelastic materials for such devices are described, and progress towards achieving optimized material is reviewed. The possibility for deployment of such systems in security, healthcare, and bioscience is outline