141,729 research outputs found
Fog-enabled Edge Learning for Cognitive Content-Centric Networking in 5G
By caching content at network edges close to the users, the content-centric
networking (CCN) has been considered to enforce efficient content retrieval and
distribution in the fifth generation (5G) networks. Due to the volume,
velocity, and variety of data generated by various 5G users, an urgent and
strategic issue is how to elevate the cognitive ability of the CCN to realize
context-awareness, timely response, and traffic offloading for 5G applications.
In this article, we envision that the fundamental work of designing a cognitive
CCN (C-CCN) for the upcoming 5G is exploiting the fog computing to
associatively learn and control the states of edge devices (such as phones,
vehicles, and base stations) and in-network resources (computing, networking,
and caching). Moreover, we propose a fog-enabled edge learning (FEL) framework
for C-CCN in 5G, which can aggregate the idle computing resources of the
neighbouring edge devices into virtual fogs to afford the heavy delay-sensitive
learning tasks. By leveraging artificial intelligence (AI) to jointly
processing sensed environmental data, dealing with the massive content
statistics, and enforcing the mobility control at network edges, the FEL makes
it possible for mobile users to cognitively share their data over the C-CCN in
5G. To validate the feasibility of proposed framework, we design two
FEL-advanced cognitive services for C-CCN in 5G: 1) personalized network
acceleration, 2) enhanced mobility management. Simultaneously, we present the
simulations to show the FEL's efficiency on serving for the mobile users'
delay-sensitive content retrieval and distribution in 5G.Comment: Submitted to IEEE Communications Magzine, under review, Feb. 09, 201
Localization to Enhance Security and Services in Wi-Fi Networks under Privacy Constraints
Developments of seamless mobile services are faced with two broad challenges, systems security and user privacy - access to wireless systems is highly insecure due to the lack of physical boundaries and, secondly, location based services (LBS) could be used to extract highly sensitive user information. In this paper, we describe our work on developing systems which exploit location information to enhance security and services under privacy constraints. We describe two complimentary methods which we have developed to track node location information within production University Campus Networks comprising of large numbers of users. The location data is used to enhance security and services. Specifically, we describe a method for creating geographic firewalls which allows us to restrict and enhance services to individual users within a specific containment area regardless of physical association. We also report our work on LBS development to provide visualization of spatio-temporal node distribution under privacy considerations
Future wireless applications for a networked city: services for visitors and residents
Future wireless networks will offer near-ubiquitous high-bandwidth communications to mobile users. In addition, the accurate position of users will be known, either through network services or via additional sensing devices such as GPS. These characteristics of future mobile environments will enable the development of location-aware and, more generally, context-sensitive applications. In an attempt to explore the system, application, and user issues associated with the development and deployment of such applications, we began to develop the Lancaster GUIDE system in early 1997, finishing the first phase of the project in 1999. In its entirety, GUIDE comprises a citywide wireless network based on 802.11, a context-sensitive tour guide application with, crucially, significant content, and a set of supporting distributed systems services. Uniquely in the field, GUIDE has been evaluated using members of the general public, and we have gained significant experience in the design of usable context-sensitive applications. We focus on the applications and supporting infrastructure that will form part of GUIDE II, the successor to the GUIDE system. These developments are designed to expand GUIDE outside the tour guide domain, and to provide applications and services for residents of the city of Lancaster, offering a vision of the future mobile environments that will emerge once ubiquitous high-bandwidth coverage is available in most cities
SAMI: Service-Based Arbitrated Multi-Tier Infrastructure for Mobile Cloud Computing
Mobile Cloud Computing (MCC) is the state-ofthe- art mobile computing
technology aims to alleviate resource poverty of mobile devices. Recently,
several approaches and techniques have been proposed to augment mobile devices
by leveraging cloud computing. However, long-WAN latency and trust are still
two major issues in MCC that hinder its vision. In this paper, we analyze MCC
and discuss its issues. We leverage Service Oriented Architecture (SOA) to
propose an arbitrated multi-tier infrastructure model named SAMI for MCC. Our
architecture consists of three major layers, namely SOA, arbitrator, and
infrastructure. The main strength of this architecture is in its multi-tier
infrastructure layer which leverages infrastructures from three main sources of
Clouds, Mobile Network Operators (MNOs), and MNOs' authorized dealers. On top
of the infrastructure layer, an arbitrator layer is designed to classify
Services and allocate them the suitable resources based on several metrics such
as resource requirement, latency and security. Utilizing SAMI facilitate
development and deployment of service-based platform-neutral mobile
applications.Comment: 6 full pages, accepted for publication in IEEE MobiCC'12 conference,
MobiCC 2012:IEEE Workshop on Mobile Cloud Computing, Beijing, Chin
Online privacy: towards informational self-determination on the internet : report from Dagstuhl Perspectives Workshop 11061
The Dagstuhl Perspectives Workshop "Online Privacy: Towards Informational Self-Determination on the Internet" (11061) has been held in February 6-11, 2011 at Schloss Dagstuhl. 30 participants from academia, public sector, and industry have identified the current status-of-the-art of and challenges for online privacy as well as derived recommendations for improving online privacy. Whereas the Dagstuhl Manifesto of this workshop concludes the results of the working groups and panel discussions, this article presents the talks of this workshop by their abstracts
Fog Computing: A Taxonomy, Survey and Future Directions
In recent years, the number of Internet of Things (IoT) devices/sensors has
increased to a great extent. To support the computational demand of real-time
latency-sensitive applications of largely geo-distributed IoT devices/sensors,
a new computing paradigm named "Fog computing" has been introduced. Generally,
Fog computing resides closer to the IoT devices/sensors and extends the
Cloud-based computing, storage and networking facilities. In this chapter, we
comprehensively analyse the challenges in Fogs acting as an intermediate layer
between IoT devices/ sensors and Cloud datacentres and review the current
developments in this field. We present a taxonomy of Fog computing according to
the identified challenges and its key features.We also map the existing works
to the taxonomy in order to identify current research gaps in the area of Fog
computing. Moreover, based on the observations, we propose future directions
for research
The Android Platform Security Model
Android is the most widely deployed end-user focused operating system. With
its growing set of use cases encompassing communication, navigation, media
consumption, entertainment, finance, health, and access to sensors, actuators,
cameras, or microphones, its underlying security model needs to address a host
of practical threats in a wide variety of scenarios while being useful to
non-security experts. The model needs to strike a difficult balance between
security, privacy, and usability for end users, assurances for app developers,
and system performance under tight hardware constraints. While many of the
underlying design principles have implicitly informed the overall system
architecture, access control mechanisms, and mitigation techniques, the Android
security model has previously not been formally published. This paper aims to
both document the abstract model and discuss its implications. Based on a
definition of the threat model and Android ecosystem context in which it
operates, we analyze how the different security measures in past and current
Android implementations work together to mitigate these threats. There are some
special cases in applying the security model, and we discuss such deliberate
deviations from the abstract model
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