Large-scale Wireless Local-area Network Measurement and Privacy Analysis

The edge of the Internet is increasingly becoming wireless. Understanding the wireless edge is therefore important for understanding the performance and security aspects of the Internet experience. This need is especially necessary for enterprise-wide wireless local-area networks (WLANs) as organizations increasingly depend on WLANs for mission- critical tasks. To study a live production WLAN, especially a large-scale network, is a difficult undertaking. Two fundamental difficulties involved are (1) building a scalable network measurement infrastructure to collect traces from a large-scale production WLAN, and (2) preserving user privacy while sharing these collected traces to the network research community. In this dissertation, we present our experience in designing and implementing one of the largest distributed WLAN measurement systems in the United States, the Dartmouth Internet Security Testbed (DIST), with a particular focus on our solutions to the challenges of efficiency, scalability, and security. We also present an extensive evaluation of the DIST system. To understand the severity of some potential trace-sharing risks for an enterprise-wide large-scale wireless network, we conduct privacy analysis on one kind of wireless network traces, a user-association log, collected from a large-scale WLAN. We introduce a machine-learning based approach that can extract and quantify sensitive information from a user-association log, even though it is sanitized. Finally, we present a case study that evaluates the tradeoff between utility and privacy on WLAN trace sanitization

A framework for secure mobile computing in healthcare

Mobile computing is rapidly becoming part of healthcare’s electronic landscape, helping to provide better quality of care and reduced cost. While the technology provides numerous advantages to the healthcare industry, it is not without risk. The size and portable nature of mobile computing devices present a highly vulnerable environment, which threaten the privacy and security of health information. Since these devices continually access possibly sensitive healthcare information, it is imperative that these devices are considered for security in order to meet regulatory compliance. In fact, the increase in government and industry regulation to ensure the privacy and security of health information, makes mobile security no longer just desirable, but mandatory. In addition, as healthcare becomes more aware of the need to reinforce patient confidence to gain competitive advantage, it makes mobile security desirable. Several guidelines regarding security best practices exist. Healthcare institutions are thus faced with matching the guidelines offered by best practices, with the legal and regulatory requirements. While this is a valuable question in general, this research focuses on the aspect of considering this question when considering the introduction of mobile computing into the healthcare environment. As a result, this research proposes a framework that will aid IT administrators in healthcare to ensure that privacy and security of health information is extended to mobile devices. The research uses a comparison between the best practices in ISO 17799:2005 and the regulatory requirements stipulated in HIPAA to provide a baseline for the mobile computing security model. The comparison ensures that the model meets healthcare specific industry requirement and international information security standard. In addition, the framework engages the Information Security Management System (ISMS) model based on the ISO 27000 standard. The framework, furthermore, points to existing technical security measurers associated with mobile computing. It is believed that the framework can assist in achieving mobile computing security that is compliant with the requirements in the healthcare industry

A framework for secure mobile computing in healthcare

Mobile computing is rapidly becoming part of healthcare’s electronic landscape, helping to provide better quality of care and reduced cost. While the technology provides numerous advantages to the healthcare industry, it is not without risk. The size and portable nature of mobile computing devices present a highly vulnerable environment, which threaten the privacy and security of health information. Since these devices continually access possibly sensitive healthcare information, it is imperative that these devices are considered for security in order to meet regulatory compliance. In fact, the increase in government and industry regulation to ensure the privacy and security of health information, makes mobile security no longer just desirable, but mandatory. In addition, as healthcare becomes more aware of the need to reinforce patient confidence to gain competitive advantage, it makes mobile security desirable. Several guidelines regarding security best practices exist. Healthcare institutions are thus faced with matching the guidelines offered by best practices, with the legal and regulatory requirements. While this is a valuable question in general, this research focuses on the aspect of considering this question when considering the introduction of mobile computing into the healthcare environment. As a result, this research proposes a framework that will aid IT administrators in healthcare to ensure that privacy and security of health information is extended to mobile devices. The research uses a comparison between the best practices in ISO 17799:2005 and the regulatory requirements stipulated in HIPAA to provide a baseline for the mobile computing security model. The comparison ensures that the model meets healthcare specific industry requirement and international information security standard. In addition, the framework engages the Information Security Management System (ISMS) model based on the ISO 27000 standard. The framework, furthermore, points to existing technical security measurers associated with mobile computing. It is believed that the framework can assist in achieving mobile computing security that is compliant with the requirements in the healthcare industry

Five Facets of 6G: Research Challenges and Opportunities

Whilst the fifth-generation (5G) systems are being rolled out across the globe, researchers have turned their attention to the exploration of radical next-generation solutions. At this early evolutionary stage we survey five main research facets of this field, namely {\em Facet~1: next-generation architectures, spectrum and services, Facet~2: next-generation networking, Facet~3: Internet of Things (IoT), Facet~4: wireless positioning and sensing, as well as Facet~5: applications of deep learning in 6G networks.} In this paper, we have provided a critical appraisal of the literature of promising techniques ranging from the associated architectures, networking, applications as well as designs. We have portrayed a plethora of heterogeneous architectures relying on cooperative hybrid networks supported by diverse access and transmission mechanisms. The vulnerabilities of these techniques are also addressed and carefully considered for highlighting the most of promising future research directions. Additionally, we have listed a rich suite of learning-driven optimization techniques. We conclude by observing the evolutionary paradigm-shift that has taken place from pure single-component bandwidth-efficiency, power-efficiency or delay-optimization towards multi-component designs, as exemplified by the twin-component ultra-reliable low-latency mode of the 5G system. We advocate a further evolutionary step towards multi-component Pareto optimization, which requires the exploration of the entire Pareto front of all optiomal solutions, where none of the components of the objective function may be improved without degrading at least one of the other components

Campus Communications Systems: Converging Technologies

This book is a rewrite of Campus Telecommunications Systems: Managing Change, a book that was written by ACUTA in 1995. In the past decade, our industry has experienced a thousand-fold increase in data rates as we migrated from 10 megabit links (10 million bits per second) to 10 gigabit links (10 billion bits per second), we have seen the National Telecommunications Policy completely revamped; we have seen the combination of voice, data, and video onto one network; and we have seen many of our service providers merge into larger corporations able to offer more diverse services. When this book was last written, A CUT A meant telecommunications, convergence was a mathematical term, triple play was a baseball term, and terms such as iPod, DoS, and QoS did not exist. This book is designed to be a communications primer to be used by new entrants into the field of communications in higher education and by veteran communications professionals who want additional information in areas other than their field of expertise. There are reference books and text books available on every topic discussed in this book if a more in-depth explanation is desired. Individual chapters were authored by communications professionals from various member campuses. This allowed the authors to share their years of experience (more years than many of us would care to admit to) with the community at large. Foreword Walt Magnussen, Ph.D. Preface Ron Kovac, Ph.D. 1 The Technology Landscape: Historical Overview . Walt Magnussen, Ph.D. 2 Emerging Trends and Technologies . Joanne Kossuth 3 Network Security . Beth Chancellor 4 Security and Disaster Planning and Management Marjorie Windelberg, Ph.D. 5 Student Services in a University Setting . Walt Magnussen, Ph.D. 6 Administrative Services David E. O\u27Neill 7 The Business Side of Information Technology George Denbow 8 The Role of Consultants . David C. Metz Glossary Michelle Narcavag

Journal of Telecommunications and Information Technology, 2004, nr 2

kwartalni

Wi-Fi Enabled Healthcare

Focusing on its recent proliferation in hospital systems, Wi-Fi Enabled Healthcare explains how Wi-Fi is transforming clinical work flows and infusing new life into the types of mobile devices being implemented in hospitals. Drawing on first-hand experiences from one of the largest healthcare systems in the United States, it covers the key areas associated with wireless network design, security, and support. Reporting on cutting-edge developments and emerging standards in Wi-Fi technologies, the book explores security implications for each device type. It covers real-time location services and emerging trends in cloud-based wireless architecture. It also outlines several options and design consideration for employee wireless coverage, voice over wireless (including smart phones), mobile medical devices, and wireless guest services. This book presents authoritative insight into the challenges that exist in adding Wi-Fi within a healthcare setting. It explores several solutions in each space along with design considerations and pros and cons. It also supplies an in-depth look at voice over wireless, mobile medical devices, and wireless guest services. The authors provide readers with the technical knowhow required to ensure their systems provide the reliable, end-to-end communications necessary to surmount today’s challenges and capitalize on new opportunities. The shared experience and lessons learned provide essential guidance for large and small healthcare organizations in the United States and around the world. This book is an ideal reference for network design engineers and high-level hospital executives that are thinking about adding or improving upon Wi-Fi in their hospitals or hospital systems

Mesh-Mon: a Monitoring and Management System for Wireless Mesh Networks

A mesh network is a network of wireless routers that employ multi-hop routing and can be used to provide network access for mobile clients. Mobile mesh networks can be deployed rapidly to provide an alternate communication infrastructure for emergency response operations in areas with limited or damaged infrastructure. In this dissertation, we present Dart-Mesh: a Linux-based layer-3 dual-radio two-tiered mesh network that provides complete 802.11b coverage in the Sudikoff Lab for Computer Science at Dartmouth College. We faced several challenges in building, testing, monitoring and managing this network. These challenges motivated us to design and implement Mesh-Mon, a network monitoring system to aid system administrators in the management of a mobile mesh network. Mesh-Mon is a scalable, distributed and decentralized management system in which mesh nodes cooperate in a proactive manner to help detect, diagnose and resolve network problems automatically. Mesh-Mon is independent of the routing protocol used by the mesh routing layer and can function even if the routing protocol fails. We demonstrate this feature by running Mesh-Mon on two versions of Dart-Mesh, one running on AODV (a reactive mesh routing protocol) and the second running on OLSR (a proactive mesh routing protocol) in separate experiments. Mobility can cause links to break, leading to disconnected partitions. We identify critical nodes in the network, whose failure may cause a partition. We introduce two new metrics based on social-network analysis: the Localized Bridging Centrality (LBC) metric and the Localized Load-aware Bridging Centrality (LLBC) metric, that can identify critical nodes efficiently and in a fully distributed manner. We run a monitoring component on client nodes, called Mesh-Mon-Ami, which also assists Mesh-Mon nodes in the dissemination of management information between physically disconnected partitions, by acting as carriers for management data. We conclude, from our experimental evaluation on our 16-node Dart-Mesh testbed, that our system solves several management challenges in a scalable manner, and is a useful and effective tool for monitoring and managing real-world mesh networks