Papers by CHRISTOS STERGIOU
Algorithms for Big Data in Advanced Communication Systems and Cloud Computing
Communication Systems are becoming significant in many areas of modern everyday life. Through thi... more Communication Systems are becoming significant in many areas of modern everyday life. Through this field several technologies grow and contribute to the improvement of people's 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 user's 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.
Future Generation Computer Systems, May 1, 2018
Presentation of BD, CC, IoT, Monitoring technologies with focus on common operations Investigat... more Presentation of BD, CC, IoT, Monitoring technologies with focus on common operations Investigate of a new system for collecting & managing sensors' data in a SB. CC used as a bases technology for IoT, BD & Monitoring technologies. Proposed solutions could lead in an energy efficient SB (Green Smart Building).
accepting me to be a member of his team Mobility2Net in the University of Macedonia. Furthermore,... more accepting me to be a member of his team Mobility2Net in the University of Macedonia. Furthermore, I am greatful for providing me with his constant support, his always detailed and immediate feedback, and his endless patience. The completion of this dissertation would not have been possible without his understanding, and guidance. Apart from sharing invaluable academic knowledge, he has shown me that being an independent scientist and at the same time an active part of a research group. During the four years of my doctoral research we had perfect cooperation and his useful tips were crucial in overcoming the various obstacles I faced. My sincere thanks to my friends and collegues Andreas P. Plageras, Vasilis A. Memos and Dr. Katerina Tsarava, because my research would not have been possible completed without their support. Our collaboration was impeccable and often led to very good research results, which were very constructive for the continuation and completion of my research. It has been a great honor working with them. I will be happy to continue working with them in the future. Moreover, I wish to thank my friend Dr. Konstantinos Arampapaslis for his "unofficial" supervisor and the text editing, as he helped me improve my English language skills. No words can describe my gratitude to my family. They gave me unconditional love, sacrificed a lot and supported every single idea I have had in all of these years. They helped and supported me throughout my studies and research and it was always there for me. Last, but surely not least, I would like to deeply thank my wife Alexandra for her invaluable love and support.
Applied sciences, Oct 24, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
International Journal of Network Management, May 5, 2016
The Internet of Things (IoT) is a new technology that is growing rapidly in the field of telecomm... more 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.
Journal of multimedia information system, 2018
In recent years, with the blooming of Internet of Things (IoT) and Cloud Computing (CC), research... more In recent years, with the blooming of Internet of Things (IoT) and Cloud Computing (CC), researchers have begun to discover new methods of technological support in all areas (e.g. health, transport, education, etc.). In this paper, in order to achieve a type of network that will provide more intelligent media-data transfer new technologies were studied. Additionally, we have been studied the use of various open source tools, such as CC analyzers and simulators. These tools are useful for studying the collection, the storage, the management, the processing, and the analysis of large volumes of data. The simulation platform which have been used for our research is CloudSim, which runs on Eclipse software. Thus, after measuring the network performance with CloudSim, we also use the Cooja emulator of the Contiki OS, with the aim to confirm and access more metrics and options. More specifically, we have implemented a network topology from a small section of the script of CloudSim with Cooja, so that we can test a single network segment. The results of our experimental procedure show that there are not duplicated packets received during the procedure. This research could be a start point for better and more efficient media data transmission.
Solutions for inter-connectivity and security in a smart hospital building
The last few years, significant advances provide better solutions for interconnectivity and secur... more 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.
Applied sciences, Mar 11, 2023
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Security and privacy of big data for social networking services in cloud
Big Data (BD) is of great importance especially in wireless telecommunications field. Social Netw... more Big Data (BD) is of great importance especially in wireless telecommunications field. Social Networking (SNg) is one more fast-growing technology that allows users to build their profile and could be described as web applications. Both of them face privacy and security issues. In this paper, we survey SNg, BD and Cloud Computing (CC) technology and their basic characteristics, by concentrating on the security issues of those technologies. Specifically, we aim at combining the functionality of these two technologies (i.e Big Data and Social Networking) in a CC environment, so that we can analyze the common features and ascertain the advantages of their integration related to security issues. Through this research, we present a new system-framework-network in Cloud Environment through which users of various Social Networks (SNs) will be able to exchange data and information, and primarily large-scale data (Big Data). With our proposed system, we can achive greatly improve of the communication of SN users, and thus become more safe and accurate in a Cloud environment. More specifically, this system could be established as an intermediate communication node that could be utilized in order to improve the security of SNg's users through the use of algorithms that can provide more privacy in the data related to BD technology. Also, in this work we present some measurements and results relative to our proposed system use. Finally, the opportunity to create a database through which each user can view the statistics of his interaction with the SNg is further discussed.
Multimedia Tools and Applications, Apr 6, 2017
Big Data (BD) is a new technology which rapidly growing in the telecommunications sectors, especi... more 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.
IEEE transactions on sustainable computing, 2019
Today's advanced media technology preaches an enthralling time that will enormously bear on daily... more Today's advanced media technology preaches an enthralling time that will enormously bear on daily life. Moreover the rapid raise of wireless communications and networking will ultimately bring advanced media to our lives anytime, anywhere, and on any device. According to National Institute of Standards and Technology (NIST), Cloud Computing (CC) is a scheme for enabling convenient, on-demand network access to a shared pool of configurable computing pores (for example networks, applications, storage, servers and services) which could be promptly foresighted and delivered with minimal management effort or service provider interaction. This paper proposed an efficient algorithm for advanced scalable Media-basedSmart Big Data (3D, Ultra HD) on Intelligent Cloud Computing systems.The proposed encoding algorithmoutperforms the conventional HEVC standard which demonstrated by the performance evaluations. In order to ratify the proposed approach in addition, a relative study has been carried out. The proposed method could be used and integrated into HEVC, as a Smart Big Data, without violating the standard.
Security, privacy & efficiency of sustainable Cloud Computing for Big Data & IoT
Sustainable Computing: Informatics and Systems, Sep 1, 2018
Abstract With the significant advances in communication technologies and in many other sectors, a... more Abstract With the significant advances in communication technologies and in many other sectors, also are growing up security and privacy issues. In our research, is introduced a base technology called Cloud Computing (CC) to operate with the Big Data (BD). CC is a technology which refers to the processing power of data in the fog, providing more “green” computational and sustainable computing. Since it is a recently investigated technology, it has many gaps in security and privacy. So, in this paper, we proposed a new system for Cloud Computing integrated with Internet of Things as a base scenario for Big Data. Moreover, we tried to establish an architecture relaying on the security of the network in order to improve the security issues. A solution proposed is installing a security “wall” between the Cloud Server and the Internet, with the aim to eliminate the privacy and security issues. As a result, we consider that CC deals more efficient with the privacy issue of bits transferred through time. Through our proposed system, the interaction and cooperation between things and objects communicate through the wireless networks in order to fulfil the objective set to them as a combined entity. Regarding the major goal of our research, which is the security, a sort survey of IoT and CC presented, with a focus on the security issues of both technologies. In addition to this, we try present the security challenges of the integration of IoT and Cloud Computing with the aim to provide an architecture relaying on the security of the network in order to improve their security issues. Finally, we realize that through our study Cloud Computing could offer a more “green” and efficient fog environment for sustainable computing scenarios.
Future Generation Computer Systems, 2018
Mobile Cloud Computing is a new technology which refers to an infrastructure where both data stor... more 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 tο 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 in Mobile Cloud Computing's Security and Management Challenges
IGI Global eBooks, 2020
Mobile cloud computing provides an opportunity to restrict the usage of huge hardware infrastruct... more Mobile cloud computing provides an opportunity to restrict the usage of huge hardware infrastructure and to provide access to data, applications, and computational power from every place and in any time with the use of a mobile device. Furthermore, MCC offers a number of possibilities but additionally creates several challenges and issues that need to be addressed as well. Through this work, the authors try to define the most important issues and challenges in the field of MCC technology by illustrating the most significant works related to MCC during recent years. Regarding the huge benefits offered by the MCC technology, the authors try to achieve a more safe and trusted environment for MCC users in order to operate the functions and transfer, edit, and manage data and applications, proposing a new method based on the existing AES encryption algorithm, which is, according to the study, the most relevant encryption algorithm to a cloud environment. Concluding, the authors suggest as a future plan to focus on finding new ways to achieve a better integration MCC with other technologies.
Applied sciences, Jan 5, 2023
Issues in IoT-Based Big Data Cloud Systems in a Digital Twin Scenario.
Applied Sciences
The Internet of Things (IoT) was introduced as a recently developed technology in the telecommuni... more The Internet of Things (IoT) was introduced as a recently developed technology in the telecommunications field. It is a network made up of real-world objects, things, and gadgets that are enabled by sensors and software that can communicate data with one another. Systems for monitoring gather, exchange, and process video and image data captured by sensors and cameras across a network. Furthermore, the novel concept of Digital Twin offers new opportunities so that new proposed systems can work virtually, but without differing in operation from a “real” system. This paper is a meticulous survey of the IoT and monitoring systems to illustrate how their combination will improve certain types of the Monitoring systems of Healthcare–IoT in the Cloud. To achieve this goal, we discuss the characteristics of the IoT that improve the use of the types of monitoring systems over a Multimedia Transmission System in the Cloud. The paper also discusses some technical challenges of Multimedia in Io...
Applied Sciences
A lesson learned during the pandemic is that social distancing saves lives. As it was shown recen... more A lesson learned during the pandemic is that social distancing saves lives. As it was shown recently, the healthcare industry is structured in a way that cannot protect medical staff from possible infectious diseases, such as COVID-19. Today’s healthcare services seem anachronistic and not convenient for both doctors and patients. Although there have been several advances in recent years, especially in developed countries, the need for a holistic change is imperative. Evidently, future technologies should be introduced in the health sector, where Virtual Reality, Augmented Reality, Artificial Intelligence, and Tactile Internet can have vast applications. Thus, the healthcare industry could take advantage of the great evolution of pervasive computing. In this paper, we point out the challenges from the current visualization techniques and present a novel visualization technique assisted with haptics which is enhanced with artificial intelligent algorithms in order to offer remote pat...
Secure Monitoring System for IoT Healthcare Data in the Cloud
Even if the field of medicine has made great strides in recent years, infectious diseases caused ... more Even if the field of medicine has made great strides in recent years, infectious diseases caused by novel viruses that damage the respiratory system continue to plague people all over the world. This type of virus is very dangerous, especially for people who deal with serious long-term breathing problems, like triggering asthma, pneumonia, or bronchitis infections. Thus, this paper demonstrates a new Secure Machine Learning Monitoring System for a model for virus detection. Our proposed model makes use of 4 basic emerging technologies, Internet of Things (IoT), Wireless Sensor Networks (WSN), Cloud Computing (CC), and Machine Learning (ML), to detect dangerous types of viruses that infect people or animals causing panic worldwide and deregulating human daily life. The proposed system is a robust system that could be established in various buildings, like hospitals, entertainment halls, universities, etc., and will provide accuracy, speed, and privacy for data collected in the detect...
Applied Sciences
Due to its unique type of services, Cloud Computing could operate as a “base technology” for othe... more Due to its unique type of services, Cloud Computing could operate as a “base technology” for other technologies; this attracts researchers to develop sustainable Cloud systems. It is a new generation of services that offers an opportunity for users to access and manage their information, applications, and data regardless of place and time. Nevertheless, there is a type of service that can include large amounts of data, called Big Data, and it consists of the rapid use of the Internet of Things (IoT) to produce large data sets. In this work, initially, we present Cloud Computing (CC) and Big Data (BD) exported from IoT, focusing on the security and management challenges of both. Notably, we combine the two aforementioned technologies to examine their related characteristics and discover new perspectives and opportunities for their integration and to achieve a sustainable environment called a Digital Twin scenario. Subsequently, we present how Cloud Computing contributes to IoT-based ...
Applied Sciences
Today, healthcare system models should have high accuracy and sensitivity so that patients do not... more Today, healthcare system models should have high accuracy and sensitivity so that patients do not have a misdiagnosis. For this reason, sufficient knowledge of the area is required, with the medical staff being able to validate the correctness of their decisions. Therefore, artificial intelligence (AI) in combination with other emerging technologies could provide many benefits in the medical sector. In this paper, we demonstrate the combination of Internet of Things (IoT) and cloud computing (CC) with AI-related techniques such as artificial intelligence (AI), machine learning (ML), deep learning (DL), and neural networks (NN) in order to provide a useful approach for scientists and doctors. Our proposed model makes use of these immersive technologies so as to provide epidemic forecasting and help accelerate drug and antibiotic discovery.
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Papers by CHRISTOS STERGIOU