Aymen Abdullah Alsaffar

Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved

With the trend going on in ubiquitous computing, everything is going to be connected to the Internet and its data will be used for various progressive purposes, creating not only information from it, but also, knowledge and even wisdom. Internet of Things (IoT) becoming so pervasive that it is becoming important to integrate it with cloud computing because of the amount of data IoTs could generate and their requirement to have the privilege of virtual resources utilization and storage capacity, but also, to make it possible to create more usefulness from the data generated by IoTs and develop smart applications for the users. This IoT and cloud computing integration is referred to as Cloud of Things in this paper. IoTs and cloud computing integration is not that simple and bears some key issues. Those key issues along with their respective potential solutions have been highlighted in this paper.

An Architecture of IoT Service Delegation and Resource Allocation Based on Collaboration between Fog and Cloud Computing

Despite the wide utilization of cloud computing (e.g., services, applications, and resources), some of the services, applications, and smart devices are not able to fully benefit from this attractive cloud computing paradigm due to the following issues: (1) smart devices might be lacking in their capacity (e.g., processing, memory, storage, battery, and resource allocation), (2) they might be lacking in their network resources, and (3) the high network latency to centralized server in cloud might not be efficient for delay-sensitive application, services, and resource allocations requests. Fog computing is promising paradigm that can extend cloud resources to edge of network, solving the abovementioned issue. As a result, in this work, we propose an architecture of IoT service delegation and resource allocation based on collaboration between fog and cloud computing. We provide new algorithm that is decision rules of linearized decision tree based on three conditions (services size, completion time, and VMs capacity) for managing and delegating user request in order to balance workload. Moreover, we propose algorithm to allocate resources to meet service level agreement (SLA) and quality of services (QoS) as well as optimizing big data distribution in fog and cloud computing. Our simulation result shows that our proposed approach can efficiently balance workload, improve resource allocation efficiently, optimize big data distribution, and show better performance than other existing methods.

IPTV service framework based on secure authentication and lightweight content encryption for screen-migration in Cloud computing

These days, the advancing of smart devices (e.g. smart phones, tablets, PC, etc.) capabilities and the increase of internet bandwidth enables IPTV service provider to extend their services to smart mobile devices. User can just receive their IPTV service using any smart devices by accessing the internet via wireless network from anywhere anytime in the world which is convenience for users. However, wireless network communication has well a known critical security threats and vulnerabilities to user smart devices and IPTV service such as user identity theft, reply attack, MIM attack, and so forth. A secure authentication for user devices and multimedia protection mechanism is necessary to protect both user devices and IPTV services. As result, we proposed framework of IPTV service based on secure authentication mechanism and light weight content encryption method for screen-migration in Cloud computing. We used cryptographic nonce combined with user ID and password to authenticate user device in any mobile terminal they passes by. In addition we used Light weight content encryption to protect and reduce the content decode overload at mobile terminals. Our proposed authentication mechanism reduces the computational processing by 30% comparing to other authentication mechanism and our light weight content encryption reduces encryption delay to 0.259 second.

An architecture of IPTV service based on PVR-Micro data center and PMIPv6 in cloud computing

This paper proposes An Architecture of IPTV Services based on PVR-Micro Data Center and PMIPv6 in Cloud Computing. The proposed architecture addresses important problems exist in normal PMIPv6 (Proxy mobile IPv6) environment which is not today addressed by normal PMIPv6. The first issue is user devices secure authentication, registration and fast handover in both inter-domain/intra-domain of PMIPv6. The second issues is multimedia delivery in inter-domain/intra-domain of PMIPv6. The third issue is tunneling overhead in inter-domain/intra. Today smart devices are mobile and user use them to access the internet from anywhere at any time using different connection method while they are traveling. Providing security measures such as user device authentication, registration as well as hand over requires different security measures and configuration in inter-domain/intra-domain of PMIPv6. Furthermore we provide new method to reduce tunneling overhead by allowing multimedia content to be delivered from many different Micro data center as well as Mega data center by using their own unique addresses to create tunneling to transfer multimedia content. Our goal is not only to reduce authentication delay, handover delay and reduce signaling cost using the intelligent utilization of AAA server (Authentication, Authorization, and Accounting Server), binding cache entry (BCE), and proxy notification update (PNU) and proxy notification acknowledgment (PNA) but also to provide fast delivery of multimedia content. Our result shows better performance when compare with normal PMIPv6. We used network simulator 3 (NS3) to generate our experiment result.

Secure collaborative cloud design for global USN services

Nowadays, there are more and more service agents which provide variety of sensor services (Global USN). Assuming many agents implement the different applications in the different locations (e.g. e-healthcare, temperature system, camera system, etc.). In practical, service agents have to prepare too costly infrastructure to enhance the applications. When cloud service is growing rapidly, we propose a cloud service provider which gathers all sensors, applications from each agent to become the sufficient services. In this paper, we propose a system which combines all global USN Services to produce many enhanced services. Moreover, we propose a security mechanism for our proposed system as well.

An efficient migration framework for mobile IPTV

In this paper we present an efficient migration framework for mobile IPTV services. We present a secure migration for their devices when user migrates to receive MIPTV services for the first time, indoor and outdoor migration. In addition we use Conditional Access System (CAS) and Digital Right Management (DRM) to protect MIPTV service and digital content.

Framework of N-Screen services based on PVR-micro data center and PMIPv6 in cloud computing

Most of today smart devices (e.g. smart phone, tablets, etc) are mobile and can access the Internet through wireless network which is almost everywhere. For mobility support, IETF developed PMIPv6 to enable user devices to be connected to the Internet without being disconnected when passing by different network areas. Unlike wired network, a wireless network increased the potential threats to every device that is wirelessly connected to Internet. As a result, security threats and attacks are critical issues which are needed to be address. In addition, provides mobility for devices in different network area require different security measures and configuration to be configured such as user device registration and authentication in PMIPv6 inter/intra-domain as well as providing fast delivery of multimedia content. In this paper, we introduce new architecture for N-Screen services which allows the streaming of application based on N-Screen technology using Personal Video Recorder function built-in micro data center and Proxy Mobile IPv6 technology in cloud computing environment. Through utilizing this service, we can clearly solve the issues mentioned above and have a better understanding. We compare our work with others where it shows better performance.

Multimedia delivery mechanism framework for smart devices based on mega data center and micro data center in PMIPv6 environment

Now days, big data (e.g. multimedia content, document, data in social network, etc) is growing fast and requiring more big storage area which is capable to process all that data efficiently in short time as well as having efficient delivery system to deliver that data to diversity of devices when they access the Internet anytime from anywhere.

IoT service framework based on mega data center and micro data center in PMIPv6 environment for smart devices

Internet of Things (IoT) is a new technology that allows many smart devices to interact with each other after they are connected to the Internet. Smart devices can communicate with each other as well as with other applications to gather useful information/tracking items/provide location which can be used to improve that service or obtain feedback. In addition, IoT provide new tools to develop more useful application. As a result, we propose a new service called “Share-My-Device”. This service allows interaction between device-to-device and human-to-device.