Christos Stergiou

Secure integration of IoT and Cloud Computing

Abstract Mobile Cloud Computing is a new technology which refers to an infrastructure where both data storage and data processing operate outside of the mobile device. Another recent technology is Internet of Things. Internet of Things is a new technology which is growing rapidly in the field of telecommunications. More specifically, IoT related with wireless telecommunications. The main goal of the interaction and cooperation between things and objects which sent through the wireless networks is to fulfill the objective set to them as a combined entity. In addition, there is a rapid development of both technologies, Cloud Computing and Internet of Things, regard the field of wireless communications. In this paper, we present a survey of IoT and Cloud Computing with a focus on the security issues of both technologies. Specifically, we combine the two aforementioned technologies (i.e Cloud Computing and IoT) in order to examine the common features, and in order to discover the benefits of their integration. Concluding, we present the contribution of Cloud Computing to the IoT technology. Thus, it shows how the Cloud Computing technology improves the function of the IoT. Finally, we survey the security challenges of the integration of IoT and Cloud Computing.

Recent advances delivered by Mobile Cloud Computing and Internet of Things for Big Data applications: a survey

Summary The Internet of Things (IoT) is a new technology that is growing rapidly in the field of telecommunications and especially in the modern field of wireless telecommunications. The main goal of the interaction and cooperation between things and objects sent through the wireless networks is to fulfill the objective set to them as a combined entity. In addition, based on the technology of wireless networks, both the technologies of Mobile Cloud Computing (MCC) and IoT develop rapidly. In this paper, we combine the two aforementioned technologies (i.e., MCC and IoT) with the technology of the Big Data in order to examine the common features and tο discover which of the MCC and IoT benefits improve the use of the Big Data applications. Finally, we present the contribution of MCC and IoT individually to the technology of Big Data. Copyright

Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings

Abstract Internet of Things (IoT) provides to everyone new types of services in order to improve everyday life. Through this new technology, other recently developed technologies such as Big Data, Cloud Computing, and Monitoring could take part. In this work, we survey the four aforementioned technologies in order to find out their common operations, and combine their functionality, in order to have beneficial scenarios of their use. Despite the boarder concept of a smart city, we will try to investigate new systems for collecting and managing sensors’ data in a smart building which operates in IoT environment. As a bases technology for the proposed sensor management system, a cloud server would be used, collecting the data that produced from each sensor in the smart building. These data are easy to be managed and controlled from distance, by a remote (mobile) device operating on a network set up in IoT technology. As a result, the proposed solutions for collecting and managing sensors’ data in a smart building could lead us in an energy efficient smart building, and thus in a Green Smart Building.

Efficient and secure BIG data delivery in Cloud Computing

Big Data (BD) is a new technology which rapidly growing in the telecommunications sectors, especially in the contemporary field of wireless telecommunications. Another technology that grows rapidly in the field of wireless telecommunications is Cloud Computing (CC). CC concerns an infrastructure where data storage and processing take place outside of the user’s device. Both of them face security and privacy issues in their function. In order to improve them and to optimize their privacy and security issues conducted the present survey. In this paper, we survey BD and CC technology and their basic characteristics, with a focus on the security and privacy issues of both technologies. Specifically, we try to combine the functionality of the two technologies (i.e BD and CC) with the aim to examine the frequent features, and also to discover the benefits related in security issues of their integration. Concluding, we present a new method of an algorithm that can be used for the purpose of improving Cloud Computing’s security through the use of algorithms that can provide more privacy in the data related to Big Data technology. At the end, there is a survey about the challenges of the integration of BD and CC related to their security level.

Efficient Large-scale Medical Data (eHealth Big Data) Analytics in Internet of Things

Recent technologies such as Big Data could be used in order to help the improvement of other fields except for the telecommunication field. Due to the Health field, the Big Data technology could contribute with the aim to help for the purpose of analysis and management of the huge amounts of health data. The main objective of this research proposal is an analytical study of the technologies IoT, Cloud Computing (CC) and large-scale data (Big Data) to resolve various issues facing the health sector in relation to these technologies. The purpose of the research proposal is the collection of medical (e-health) big data in real time. The collection will be performed by sensor devices and actuators, which will wear patients who suffer from various ailments. Then is following, the transfer of these data through a network to a cloud server. Additionally, these data will be processed in the cloud which makes its analysis so as to become meaningless. By the analysis of these data is done the data mining. Finally, to address the various problems in the health sector, the transfer of the analyzed health data will be held by the devices of the relevant persons. Also, in our study, we will deal with the security of medical data which constitute personal data and must be protected.

Algorithms for Big Data in Advanced Communication Systems and Cloud Computing

Communication Systems are becoming significant in many areas of modern everyday life. Through this field several technologies grow and contribute to the improvement of peoples everyday life. Big Data (BD) appears as a technology created and developed through communication systems. Big Data refers to the large-scale amounts of data used, transferred and managed through a network. Due to data usage and even large-scale amounts of data, the use of storage space without restrictions on its use becomes necessary. This storage space provided through a technology called Cloud Computing (CC). This technology mentions to a substructure in which data storage and data processing occur in real time outside of the users device. This work surveys BD and CC and their basic features, with a focus on the security and privacy issues of both technologies. In addition to this, we will try to combine the functionality of BD and CC with the aim to examine the frequent features, and also to discover the benefits related in security issues of their integration.

Architecture for security monitoring in IoT environments

The focus of this paper is to propose an integration between Internet of Things (IoT) and Video Surveillance, with the aim to satisfy the requirements of the future needs of Video Surveillance, and to accomplish a better use. IoT is a new technology in the sector of telecommunications. It is a network that contains physical objects, items, and devices, which are embedded with sensors and software, thus enabling the objects, and allowing for their data exchange. Video Surveillance systems collect and exchange the data which has been recorded by sensors and cameras and send it through the network. This paper proposes an innovative topology paradigm which could offer a better use of IoT technology in Video Surveillance systems. Furthermore, the contribution of these technologies provided by Internet of Things features in dealing with the basic types of Video Surveillance technology with the aim to improve their use and to have a better transmission of video data through the network. Additionally, there is a comparison between our proposed topology and relevant proposed topologies focusing on the security issue.

Solutions for inter-connectivity and security in a smart hospital building

The last few years, significant advances provide better solutions for interconnectivity and security in Intelligent Buildings (IBs). An overview of these advances is presented in this paper. Also, in this paper, we presented a patient monitoring system for hospital buildings and a Building Management System (BMS) layered design. Then, we made a comparative analysis of our system over other similar systems and presented the benefits that our approach has. Moreover, we proposed some security solutions that came out from the design and from further research. Also, a comparative analysis of our system over other similar systems is shown in this paper. Then, the benefits of our design are listed and explained. Finally, we have studied and used the Contiki OS and the Cooja emulator, and we have created simulations, which helped us have a more detailed and realistic image of our system. The results from the transmission of the packets of data are significant, since the protocol we use (CoAP), has a very low percentage, if not zero, of the packets, lost. Using the Cooja emulator we track the trafficc in and out of the network in real time. So, it seems to be a very useful tool which offers, except the traffic, diagrams and other metrics which describe our system. As future work, we are going to emulate our entire system with such tools like the Cooja emulator. Then, if the results are the expected, we will move on with the implementation of such a system. This paper will be a start point for better future decisions in designing intelligent building systems.