Contemporary analysis and architecture for a generic cloud-based sensor data management platform.

An increasing volume of data is being generated by sensors and smart devices deployed in different areas, often far from computing facilities such as data centres. These data can be difficult to gather and process using local computing infrastructure. This is due to cost and limited resources. Cloud computing provides scalable resources that are capable of addressing such problems. However, platform-independent methods of gathering and transmitting sensor data to Clouds are not widely available. This paper presents a state-of-the-art analysis of Cloud-based sensor monitoring and data gathering platforms. It discusses their strengths and weaknesses and reviews the current trends in this area. Informed by the analysis, the paper further proposes a generic conceptual architecture for achieving a platform-neutral Cloud-based sensor monitoring and data gathering platform. We also discuss the objectives, design decisions and the implementation considerations for the conceptual architecture.IC

SensorCloud: Towards the Interdisciplinary Development of a Trustworthy Platform for Globally Interconnected Sensors and Actuators

Although Cloud Computing promises to lower IT costs and increase users' productivity in everyday life, the unattractive aspect of this new technology is that the user no longer owns all the devices which process personal data. To lower scepticism, the project SensorCloud investigates techniques to understand and compensate these adoption barriers in a scenario consisting of cloud applications that utilize sensors and actuators placed in private places. This work provides an interdisciplinary overview of the social and technical core research challenges for the trustworthy integration of sensor and actuator devices with the Cloud Computing paradigm. Most importantly, these challenges include i) ease of development, ii) security and privacy, and iii) social dimensions of a cloud-based system which integrates into private life. When these challenges are tackled in the development of future cloud systems, the attractiveness of new use cases in a sensor-enabled world will considerably be increased for users who currently do not trust the Cloud.Comment: 14 pages, 3 figures, published as technical report of the Department of Computer Science of RWTH Aachen Universit

SCSlib: Transparently Accessing Protected Sensor Data in the Cloud

As sensor networks get increasingly deployed in real-world scenarios such as home and industrial automation, there is a similarly growing demand in analyzing, consolidating, and storing the data collected by these networks. The dynamic, on-demand resources offered by today’s cloud computing environments promise to satisfy this demand. However, prevalent security concerns still hinder the integration of sensor networks and cloud computing. In this paper, we show how recent progress in standardization can provide the basis for protecting data from diverse sensor devices when outsourcing data processing and storage to the cloud. To this end, we present our Sensor Cloud Security Library (SCSlib) that enables cloud service developers to transparently access cryptographically protected sensor data in the cloud. SCSlib specifically allows domain specialists who are not security experts to build secure cloud services. Our evaluation proves the feasibility and applicability of SCSlib for commodity cloud computing environments

Effects Of The Internet Of Things (IoT): A Systematic Review Of The Benefits And Risks

The Internet of Things (IoT) might yield many benefits and can be transformative in nature, yet has been given scant attention in e-commerce literature. The IoT describes a situation whereby physical objects are connected to the Internet and are able to communicate with, and identify themselves to other devices. These devices generate a huge amount of data. When it is possible to combine data from devices and other systems, new insights may be created which may provide important benefits to e-commerce. The duality of technology predicts that the accomplishment of benefits might also cause risks. In this paper we conduct a systematic review of literature to create an overview of perceived benefits and risks of IoT. The results confirm the duality that IoT has a variety of expected political, strategic, tactical and operational benefits as well as interrelated risks attached to its adoption. However, risks regarding the adoption of IoT also occur at all levels. Accomplishment of benefits requires that possible risks need to be mitigated in concert

Administration Security Issues in Cloud Computing

This paper discover the most administration security issues in Cloud Computing in term of trustworthy and gives the reader a big visualization of the concept of the Service Level Agreement in Cloud Computing and it’s some security issues. Finding a model that mostly guarantee that the data be saved secure within setting for factors which are data location, duration of keeping the data in cloud environment, trust between customer and provider, and procedure of formulating the SLA

A RELIABLE MANAGEMENT SYSTEM FOR CLOUD AND SENSOR NETWORKS

The integration paradigm of cloud computing-wireless networks is focused by possible application situations.  We initiate a novel and authentic trust as well as reputation calculation and management system meant for the integration of cloud computing-wireless networks. Induced by including commanding data storage as well as data processing abilities of cloud computing as well as ubiquitous data gathering ability of wireless networks, cloud computing-wireless networks integration have gained increased  attention from various communities.  The proposed system will attain functions such as authentication of cloud service as well as sensor network providers to keep away from malicious impersonation attacks; managing of trust and reputation concerning service of cloud service as well as sensor network providers; and assisting cloud service users to select desirable cloud service providers and assisting them in selection of suitable providers of sensor network

User-driven Privacy Enforcement for Cloud-based Services in the Internet of Things

Internet of Things devices are envisioned to penetrate essentially all aspects of life, including homes and urbanspaces, in use cases such as health care, assisted living, and smart cities. One often proposed solution for dealing with the massive amount of data collected by these devices and offering services on top of them is the federation of the Internet of Things and cloud computing. However, user acceptance of such systems is a critical factor that hinders the adoption of this promising approach due to severe privacy concerns. We present UPECSI, an approach for user-driven privacy enforcement for cloud-based services in the Internet of Things to address this critical factor. UPECSI enables enforcement of all privacy requirements of the user once her sensitive data leaves the border of her network, provides a novel approach for the integration of privacy functionality into the development process of cloud-based services, and offers the user an adaptable and transparent configuration of her privacy requirements. Hence, UPECSI demonstrates an approach for realizing user-accepted cloud services in the Internet of Things.Comment: 6 pages, 2 figures, 1 listing. The 2nd International Conference on Future Internet of Things and Cloud (FiCloud-2014