This manuscript advances the modelling and verification of access control policies by using automated knowledge-based symbolic model checking techniques. The key contributions of this manuscript are threefold: firstly, a modelling language that expresses dynamic access control policies with compound actions that update multiple variables; secondly, a knowledge-based verification algorithm that verifies properties over an access control policy that has compound actions; and finally, an automated tool, called X-Policy, which implements the algorithm. This research enables us to model and verify access control policies for web-based collaborative systems. It models and analyses a number of conference management systems and their security properties. It proposes the appropriate modifications to rectify the policies when possible. Ultimately, this research will allow us to model and verify more systems and help avoid the current situation.
A Grid could be a very dynamic environment and the user groups are highly diverse. A user group could be formed by the users of different domains with different infrastructures and managerial policies. Handling requests from a wide range of users from different domains becomes a challenge when attempting to accommodate all the differences. Service providers find it impossible to track all users in a Grid. Therefore, an access control mechanism that provides users appropriate access to the resources in a Grid is required. Role Based Access Control (RBAC) models have been demonstrated to be an effective and efficient approach to manage accesses in a computing system. Much has been done to adapt the RBAC concept to Grids and focus on the authorization and verification of the dynamic factors or contexts of a user. Some applications also allow administrators to change the policies during the authorization process, but they did not handle the authorization in real-time and on demand manner in a Grid. It is a critical authorization requirement for a Grid. Therefore, this problem motivated us to develop a new Dynamic Role Lease Authorization (DRLA) protocol for a Grid.
Bond-Graphs based system representation and genetic programming based search and synthesis can be combined for automated design of mechatronic or multi domain dynamic systems. This design scheme can be turned into an intelligent automated design system by introducing a dynamic database or knowledge library of relevant information (gathered through multiple runs of the same design scheme), which tends to help the designer in initial and final stages of the design process. The strength of Bond-Graphs in handling variety and dynamic behavior of systems from multi energy domains coupled with evolutionary search approach for machine intelligence implemented through genetic programming, leads to an ideal platform for testing and enhancing the state of available knowledge and technology for evolutionary design of physical systems as complex as found in nature. This book offers an introduction to this research area with a brief discussion about certain aspects and verification of one proposed automated design methodology for evolving mechatronic systems designs using Bond-Graphs and genetic programming.
Automatic speech recognition and speaker recognition have a lot of applications in personal identification, access control and in the new man-machine-interface paradigm. The existing applications in voice-activated embedded systems solve the problem of recognition of the spoken words only or the problem of recognition of a speaker through the words uttered only. The goal of this project, therefore, is the development of a robust algorithm for both speech recognition and speaker verification. An example of a target application of this work is speech dialing of mobile phones with a speaker verification front-end in order to effect access control. In view of the memory and computational constraints of embedded systems, the dynamic time warping algorithm is used. This project only considers isolated spoken digits. The developed algorithm is coded in C language and can be ported to firmware for Arabic numeral digit recognition with a speaker verification front end for an embedded system like mobile phones. The system produced a FAR of 13.33% and a FRR of 24.3% for a total of 70 true claims and 30 false claims. It also had a word accuracy of 96.7%.
This dissertation deals with the efficient operation of LNG liquefaction plants based on the concept of self-optimizing control. Self-optimizing control is known as a promising alternative to model-based online optimization techniques and gained more and more attention in the scientific and industrial community during the last decade. Among others, the the dynamic modeling of spiral-wound heat exchangers, the synthesis of self-optimizing control structures and the nonlinear steady-state and dynamical verification of self-optimizing control structures are discussed in this work.
Timely action and prompt response are the crying need for emergency services like health care in a hospital. Unavailability of it may result to a massive disaster. For example,in a hospital, doctors and nurses must respond promptly to take necessary action for a critical patient to save his life. Prompt response and timely act may save thousands of lives.But prompt response does not mean that it can compromise with the security issues. In critical scenarios massive flow of highly secure information is expected. Different levels of employees are allowed to have different level of privileges to the system for securing access and a smooth run of the system. To provide the exact level of service according to one’s privileges to the system is only possible by a proper authentication process.Repetitive authentication processes wastes valuable time on a critical moment along with distracting people from their main course of action. The system loses its invisibility and efficiency. Here comes the need for having a fully automated solution for this access control systems.Here we have presented an efficient way of automated access control mechanism using Proximity Based Access Control(PBAC)
Nepal’s adoption of new planning policies in 1976 has led to significant transformation of urban management practice in Kathmandu. Neglecting issues of larger communal interests, new planning policies have focused on providing individual homeowners with the right to build higher structures. These new planning policies depend on generic height restrictions to control building height in community spaces regardless of their varying shape, size, and orientation. One outcome of these regulations has been loss of minimum level of solar access in community spaces. This is particularly important since in Nepal solar access in community spaces is integral for the socio-cultural functioning of such public places. This book proposes the incorporation of solar access analysis in Nepal’s building bylaws to control the height of buildings in community spaces. Such policy would ensure minimum level of solar access in community spaces, which in turn would support community activities and be beneficial to the entire community.
Medium Access Control (MAC) protocols plays very important role in Cognitive Radio (CR) networks. CR enables the Secondary (unlicensed) Users (SU) to opportunistically access the spectrum unused by the Primary (licensed) Users (PU). The two main functions of the CR MAC are interference control and avoidance for PUs and collision avoidance among SUs. This book is the case of overlay spectrum sharing mode of contention based, distributed, non cooperative spectrum sharing access mode protocol. In order to devise efficient CR MAC protocol, it will be efficient to use CSMA/CA based protocol as it helps in overcoming the major challenges of hidden terminal problem and exposed terminal problem in cognitive radio networks. This book presents a novel opportunistic MAC protocol for single channel which opportunistically utilizes the spectrum unused by the PUs. In case of collision, a dynamic backoff scheme is applied. Results of the Opportunistic Spectrum Access (OSA) MAC for single channel are compared with dynamic OSA MAC scheme. The results show that throughput and access delay of our proposed scheme are better than the OSA MAC scheme.
The standard theory of farmers’ risk attitude shows that farmers are risk averse. This behavior could affect their productivity. It was important to find the significant determinants of risk. Most study revealed that socio-economic determinants influence farmers’ decision to adopt new agricultural inputs that would enhance productivity. However, the findings may vary based on place and time that needs verification. Therefore, it is important to address the issue before implementation of some policies towards the use of modern agricultural inputs. Though this theory was used for most agricultural policies especially in developing countries, it requires updated findings on the determinants. The dynamic nature of the world still requires for a more determinants of the risk aversion behavior of farmers.
For the multiple-access protocol in wireless network, it is a scheme to control the access to a shared communication medium among various users. Access protocol can be grouped due to the bandwidth allocation mechanism, which can be static or dynamic, and the type of control mechanism implements. Each Media Access Control (MAC) uses a different media or multiple accesses schemes to allocate the limited bandwidth. It is required to develop simple and efficient resource management protocols for these network results in reduced processing cost, faster processing and a better use of network resources. When a mount of traffic is classified by different flow characteristics and then QoS requirement increases the utilization of the network resources. The orchestrated multimedia transmission is expected that the various elements of the multimedia service will be synchronized at the receiver node. There is a need for dynamic resource allocation protocols to take care of the various types of input sources. Static optimal and a dynamic optimal resource management protocols have been developed and evaluated.
An insider's view of how to develop and operate an automated proprietary trading network Reflecting author Eugene Durenard's extensive experience in this field, Professional Automated Trading offers valuable insights you won't find anywhere else. It reveals how a series of concepts and techniques coming from current research in artificial life and modern control theory can be applied to the design of effective trading systems that outperform the majority of published trading systems. It also skillfully provides you with essential information on the practical coding and implementation of a scalable systematic trading architecture. Based on years of practical experience in building successful research and infrastructure processes for purpose of trading at several frequencies, this book is designed to be a comprehensive guide for understanding the theory of design and the practice of implementation of an automated systematic trading process at an institutional scale. Discusses several classical strategies and covers the design of efficient simulation engines for back and forward testing Provides insights on effectively implementing a series of distributed processes that should form the core of a robust and fault-tolerant automated systematic trading architecture Addresses trade execution optimization by studying market-pressure models and minimization of costs via applications of execution algorithms Introduces a series of novel concepts from artificial life and modern control theory that enhance robustness of the systematic decision making—focusing on various aspects of adaptation and dynamic optimal model choice Engaging and informative, Proprietary Automated Trading covers the most important aspects of this endeavor and will put you in a better position to excel at it.
This study compares prices of pharmaceuticals between different countries (Belgium, the Netherlands, Germany, United Kingdom and New Zealand). Different factors related to the product, the market situation, the economic environment and the price control policies are taken into account, using hedonic regressions. Strong differences between the ex-factory prices in the different countries are found. This is mainly due to market failures. In response to these failures all selected countries developed price containment policies. The study analyzes the effects of different price control policies by measuring prices and policies over time.
Ever increasing silicon design complexity and transistor density, product differentiation and time to market are major factors creating huge pressure on complete design flow. This book covers Verification phase by describing the concepts of Universal Verification Methodology (UVM) and by presenting a pragmatic approach of developing efficient and unified advanced verification environment at all levels using Universal Verification Methodology along with Assertion based verification, hardware acceleration and Transaction Level Modeling. This book is written primarily for verification engineers performing verification of complex IP blocks or entire system-on-chip (SoC) designs. However, much of material will also be of interest to SoC project managers as well as designers to learn more about verification. Furthermore, this book includes detailed information about verification environment for one case which can be easily used as reference for other cases.
Technical progress in the field of automated driving research is about to alter the way of driving from manual control toward supervision of automated control. The increasing dissemination of advanced driver assistance systems brings more and more people into contact with (semi-)automated systems that do not only warn against certain dangers and intervene if necessary, but are also able to take over parts of the driving task. Automated vehicles have the potential to increase traffic safety, efficiency and to reduce the driver’s workload. This requires systems working with absolute perfection that sense and interpret the environment correctly at any time and transform this information into adequate actions. However, such systems are not yet available today. Therefore it is necessary that the driver supervises automated vehicle control systems in order to be able to recognize automation errors and to intervene. Even if there is still a long way to go, it is worth taking a look at the ramifications an automated driving task implies.
Although extensible Access Control Markup Language (XACML) is recognized as a precise and a complete policy description language, the structure of the current XACML policy is complex. Hence, users need to understand XACML well and write down the securing policy all by hand, which make it dif?cult to master and use. On the other hand, RDBMS is easy and simple to use by all users and allows hiding the dif?culties of XACML by storing XACML policies and rules in relational tables. Hence, it will be easy for users to use and understand the XACML policies and rules. In this paper, we propose a new mapping technique to map XACML policies and rules into relational rules and store them in tables to ease the access control of the XML documents. The implementation of the proposed technique demonstrates a signi?cant access decision time