Pub Date : 2020-12-11DOI: 10.1109/RoEduNet51892.2020.9324879
R. Radu, Cristian Sandescu, Octavian Grigorescu, R. Rughinis
Over the recent years, cyber insurance has become increasingly important, as our society has relied more and more on the cyber domain for almost all aspects of our daily life and work. The number of vulnerabilities is continually increasing and so do the cyber-attacks and data breaches. Security engineers have a harder time than ever to score the risk their organization is exposed to. Moreover, putting a tag with the costs, a company may need to overcome a possible cyber-attack is really challenging, because financial assessment hasn't developed enough, neither in the academic environment, nor in the business sector.
{"title":"Analyzing Risk Evaluation Frameworks and Risk Assessment Methods","authors":"R. Radu, Cristian Sandescu, Octavian Grigorescu, R. Rughinis","doi":"10.1109/RoEduNet51892.2020.9324879","DOIUrl":"https://doi.org/10.1109/RoEduNet51892.2020.9324879","url":null,"abstract":"Over the recent years, cyber insurance has become increasingly important, as our society has relied more and more on the cyber domain for almost all aspects of our daily life and work. The number of vulnerabilities is continually increasing and so do the cyber-attacks and data breaches. Security engineers have a harder time than ever to score the risk their organization is exposed to. Moreover, putting a tag with the costs, a company may need to overcome a possible cyber-attack is really challenging, because financial assessment hasn't developed enough, neither in the academic environment, nor in the business sector.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"391 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123363160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-11DOI: 10.1109/RoEduNet51892.2020.9324872
Nicoleta-Denisa Bortanoiu, I. Radoi
Many real-world applications handle large amounts of data, which needs to be preprocessed and classified before it can be used. Performing this classification using human agents is usually slow and costly, thus motivating the need for automation. One of the areas that can benefit from an automatized process includes online health-care platforms that connect people to doctors remotely. This type of platform usually offers an asynchronous messaging service, and can receive up to hundreds or thousands of medical questions every day. The questions need to be assigned to the appropriate specialists in a timely manner. This paper offers an automatic solution to this problem. Its purpose is to address the issue of mapping natural language texts to medical specialties. Two solutions are proposed and compared, one based on the Naive Bayes classifier and the other on a Linear classifier implemented using TensorFlow. The former obtains an accuracy of over 95% for 23% of the questions while the latter obtains the same accuracy for 60% of the questions. The results motivate the use of these solutions in real-world applications.
{"title":"Mapping Natural Language Questions to Medical Specialties","authors":"Nicoleta-Denisa Bortanoiu, I. Radoi","doi":"10.1109/RoEduNet51892.2020.9324872","DOIUrl":"https://doi.org/10.1109/RoEduNet51892.2020.9324872","url":null,"abstract":"Many real-world applications handle large amounts of data, which needs to be preprocessed and classified before it can be used. Performing this classification using human agents is usually slow and costly, thus motivating the need for automation. One of the areas that can benefit from an automatized process includes online health-care platforms that connect people to doctors remotely. This type of platform usually offers an asynchronous messaging service, and can receive up to hundreds or thousands of medical questions every day. The questions need to be assigned to the appropriate specialists in a timely manner. This paper offers an automatic solution to this problem. Its purpose is to address the issue of mapping natural language texts to medical specialties. Two solutions are proposed and compared, one based on the Naive Bayes classifier and the other on a Linear classifier implemented using TensorFlow. The former obtains an accuracy of over 95% for 23% of the questions while the latter obtains the same accuracy for 60% of the questions. The results motivate the use of these solutions in real-world applications.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124717437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-11DOI: 10.1109/RoEduNet51892.2020.9324863
Monica Vladoiu, Z. Constantinescu
Education has been highly affected during the Covid pandemic. From one day to another, from kindergartens to universities, everyone involved in education has struggled to keep it going despite all the difficulties and restrictions. In our department, we coordinate two study programs in Computer Science (bachelor and master level). More than a year ago, we started to use the Discord communication platform to keep in touch in real time with our students and alumni. Our initial goal has been to create a strong ever growing community, in which our students, their former colleagues, and faculty can communicate easily. When the lockdown started, it was obvious that continuing to build and expand this community was the way to go. The last semester and the current one, we have been using Discord enhanced by a set of in-house developed scripts to communicate with the students, to keep going with both lectures and laboratories, according to the schedule, to have both the semester and the graduation exams, and so on. In this paper, we present our approach of continuing education during the pandemic (both requirements and solutions), and the lessons learnt during this experience.
{"title":"Learning During COVID-19 Pandemic: Online Education Community, Based on Discord","authors":"Monica Vladoiu, Z. Constantinescu","doi":"10.1109/RoEduNet51892.2020.9324863","DOIUrl":"https://doi.org/10.1109/RoEduNet51892.2020.9324863","url":null,"abstract":"Education has been highly affected during the Covid pandemic. From one day to another, from kindergartens to universities, everyone involved in education has struggled to keep it going despite all the difficulties and restrictions. In our department, we coordinate two study programs in Computer Science (bachelor and master level). More than a year ago, we started to use the Discord communication platform to keep in touch in real time with our students and alumni. Our initial goal has been to create a strong ever growing community, in which our students, their former colleagues, and faculty can communicate easily. When the lockdown started, it was obvious that continuing to build and expand this community was the way to go. The last semester and the current one, we have been using Discord enhanced by a set of in-house developed scripts to communicate with the students, to keep going with both lectures and laboratories, according to the schedule, to have both the semester and the graduation exams, and so on. In this paper, we present our approach of continuing education during the pandemic (both requirements and solutions), and the lessons learnt during this experience.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124564365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-11DOI: 10.1109/roedunet51892.2020.9324867
{"title":"[Copyright notice]","authors":"","doi":"10.1109/roedunet51892.2020.9324867","DOIUrl":"https://doi.org/10.1109/roedunet51892.2020.9324867","url":null,"abstract":"","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122940209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-11DOI: 10.1109/RoEduNet51892.2020.9324874
T. Cioara, Claudia Pop, Razvan Zanc, I. Anghel, Marcel Antal, I. Salomie
Decentralized management and coordination of energy systems are emerging trends facilitated by the uptake of the Internet of Things and Blockchain offering new opportunities for more secure, resilient, and efficient energy distribution. Even though the use of distributed ledger technology in the energy domain is promising, the development of decentralized smart grid management solutions is in the early stages. In this paper, we define a layered architecture of a blockchain-based smart grid management platform featuring energy data metering and tamper-proof registration, business enforcement via smart contracts, and Oracle-based integration of high computational services supporting the implementation of future grid management scenarios. Three such scenarios are discussed from the perspective of their implementation using the proposed blockchain platform and associated challenges: peer to peer energy trading, decentralized management, and aggregation of energy flexibility and operation of community oriented Virtual Power Plants.
{"title":"Smart Grid Management Using Blockchain: Future Scenarios and Challenges","authors":"T. Cioara, Claudia Pop, Razvan Zanc, I. Anghel, Marcel Antal, I. Salomie","doi":"10.1109/RoEduNet51892.2020.9324874","DOIUrl":"https://doi.org/10.1109/RoEduNet51892.2020.9324874","url":null,"abstract":"Decentralized management and coordination of energy systems are emerging trends facilitated by the uptake of the Internet of Things and Blockchain offering new opportunities for more secure, resilient, and efficient energy distribution. Even though the use of distributed ledger technology in the energy domain is promising, the development of decentralized smart grid management solutions is in the early stages. In this paper, we define a layered architecture of a blockchain-based smart grid management platform featuring energy data metering and tamper-proof registration, business enforcement via smart contracts, and Oracle-based integration of high computational services supporting the implementation of future grid management scenarios. Three such scenarios are discussed from the perspective of their implementation using the proposed blockchain platform and associated challenges: peer to peer energy trading, decentralized management, and aggregation of energy flexibility and operation of community oriented Virtual Power Plants.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122480771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-11DOI: 10.1109/RoEduNet51892.2020.9324880
A. Popescu, N. Popescu
Autism Spectrum Disorder (ASD) is not fully curable. ASD is characterized by behavioral abnormalities, difficulties in expressing their emotions, in communication. Therefor an early diagnosis can help children develop social skills and integrate better in society as they grow. This paper analyzes the solutions and algorithms used for developing applications in order to diagnose and help persons with autism. Critical comparisons have been emphasized between the analyzed research works.
{"title":"A critical analysis of the technologies used for development of applications dedicated to persons with autism spectrum disorder","authors":"A. Popescu, N. Popescu","doi":"10.1109/RoEduNet51892.2020.9324880","DOIUrl":"https://doi.org/10.1109/RoEduNet51892.2020.9324880","url":null,"abstract":"Autism Spectrum Disorder (ASD) is not fully curable. ASD is characterized by behavioral abnormalities, difficulties in expressing their emotions, in communication. Therefor an early diagnosis can help children develop social skills and integrate better in society as they grow. This paper analyzes the solutions and algorithms used for developing applications in order to diagnose and help persons with autism. Critical comparisons have been emphasized between the analyzed research works.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116533209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-11DOI: 10.1109/roedunet51892.2020.9324854
Maria-Valentina Stoicescu
Dating apps are increasingly used by a global population. Platforms' design supports diverse motivations of use, but specific options incentivize some behaviors more than others. Also, users' expectations of intimacy are driven by a commercial technological product primarily designed for profit. The emotional investment of users is considerable if we are to ponder the vast and complicated realm of love and dating. This paper discusses the social impact of digital dating platforms with a case study of Tinder app, through an analysis of its business model and designed user incentives. Using the frictionless design of digital apps, dating apps and especially Tinder contribute to the standardization and even McDonaldization of romance, in which fast love and intimacy are pursued and consumed in an accelerated fashion, redefining socially expected scenarios for relationships.
{"title":"Social impact of online dating platforms. A case study on tinder","authors":"Maria-Valentina Stoicescu","doi":"10.1109/roedunet51892.2020.9324854","DOIUrl":"https://doi.org/10.1109/roedunet51892.2020.9324854","url":null,"abstract":"Dating apps are increasingly used by a global population. Platforms' design supports diverse motivations of use, but specific options incentivize some behaviors more than others. Also, users' expectations of intimacy are driven by a commercial technological product primarily designed for profit. The emotional investment of users is considerable if we are to ponder the vast and complicated realm of love and dating. This paper discusses the social impact of digital dating platforms with a case study of Tinder app, through an analysis of its business model and designed user incentives. Using the frictionless design of digital apps, dating apps and especially Tinder contribute to the standardization and even McDonaldization of romance, in which fast love and intimacy are pursued and consumed in an accelerated fashion, redefining socially expected scenarios for relationships.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126133787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-11DOI: 10.1109/RoEduNet51892.2020.9324888
D. Nicolescu, Razvan Tataroiu, Dumitru-Cristian Tranca, G. Patru
Modbus is a communication protocol for distributed control systems. It is widely used in industries such as petrochemical, electricity distribution, and water treatment. The protocol lacks built-in security features, making it an attractive target for attackers. Securing Modbus-based networks requires tools for packet logging, analysis, and realtime monitoring. A novel solution is described, which is fully compatible with the standard Modbus variants (TCP, RTU) and supports most deployment scenarios. It supports packet logging for off-line analysis, as well as real-time analysis for intrusion detection and abnormal operation detection.
{"title":"Logger and Analyser for Modbus-based Industrial Networks","authors":"D. Nicolescu, Razvan Tataroiu, Dumitru-Cristian Tranca, G. Patru","doi":"10.1109/RoEduNet51892.2020.9324888","DOIUrl":"https://doi.org/10.1109/RoEduNet51892.2020.9324888","url":null,"abstract":"Modbus is a communication protocol for distributed control systems. It is widely used in industries such as petrochemical, electricity distribution, and water treatment. The protocol lacks built-in security features, making it an attractive target for attackers. Securing Modbus-based networks requires tools for packet logging, analysis, and realtime monitoring. A novel solution is described, which is fully compatible with the standard Modbus variants (TCP, RTU) and supports most deployment scenarios. It supports packet logging for off-line analysis, as well as real-time analysis for intrusion detection and abnormal operation detection.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114654338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-11DOI: 10.1109/RoEduNet51892.2020.9324883
Corneliu Zaharia, F. Sandu, A. Balan
In case of multiple imaging sensors used in different networks (home security, surveillance, automotive, industrial), there is a challenge to perform object detection algorithms in real time, even on the cloud, for a large number of sensors. This is why there is an intensive effort in the industry to move object detection processing on the edge, with the benefits of reducing the bandwidth needs and allowing for scalability in large networks. In this paper we present a hardware friendly optimization technique to compute Histogram of Oriented Gradients (HOG) on the edge, by approximating the HOG orientation as a multitude of small bins. The technique is implemented in RTL for FPGA or ASIC and serves as the first step in a standard object detection algorithm (using Histogram of Oriented Gradients as feature extractor and Support Vector Machine as the detection algorithm). We verified the results of the proposed optimizations for errors by comparison to a reference method and the overall object detection algorithm for robustness.
{"title":"Usage of Asymetric Small Binning to Compute Histogram of Oriented Gradients for Edge Computing Image Sensors","authors":"Corneliu Zaharia, F. Sandu, A. Balan","doi":"10.1109/RoEduNet51892.2020.9324883","DOIUrl":"https://doi.org/10.1109/RoEduNet51892.2020.9324883","url":null,"abstract":"In case of multiple imaging sensors used in different networks (home security, surveillance, automotive, industrial), there is a challenge to perform object detection algorithms in real time, even on the cloud, for a large number of sensors. This is why there is an intensive effort in the industry to move object detection processing on the edge, with the benefits of reducing the bandwidth needs and allowing for scalability in large networks. In this paper we present a hardware friendly optimization technique to compute Histogram of Oriented Gradients (HOG) on the edge, by approximating the HOG orientation as a multitude of small bins. The technique is implemented in RTL for FPGA or ASIC and serves as the first step in a standard object detection algorithm (using Histogram of Oriented Gradients as feature extractor and Support Vector Machine as the detection algorithm). We verified the results of the proposed optimizations for errors by comparison to a reference method and the overall object detection algorithm for robustness.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128147968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The trend of storing information on servers in the cloud raises serious security concerns since the increasing number of breaches has resulted in the theft of private data from millions of users. In case of fields like finance, where data privacy is a priority, encryption techniques are analyzed to offer certainty to the customers. A solution for this problem may be searchable encryption, a concept that permits encrypting data locally, moving it to a remote server and then performing operations directly on the ciphertext without decryption. In this paper, we implement four prominent searchable encryption techniques and thoroughly evaluate their performances for various use case scenarios in finance.
{"title":"Practical analysis of searchable encryption strategies for financial architecture","authors":"Iulia-Maria Florea, Ștefan-Dan Ciocîrlan, Iuliana Dura","doi":"10.1109/RoEduNet51892.2020.9324881","DOIUrl":"https://doi.org/10.1109/RoEduNet51892.2020.9324881","url":null,"abstract":"The trend of storing information on servers in the cloud raises serious security concerns since the increasing number of breaches has resulted in the theft of private data from millions of users. In case of fields like finance, where data privacy is a priority, encryption techniques are analyzed to offer certainty to the customers. A solution for this problem may be searchable encryption, a concept that permits encrypting data locally, moving it to a remote server and then performing operations directly on the ciphertext without decryption. In this paper, we implement four prominent searchable encryption techniques and thoroughly evaluate their performances for various use case scenarios in finance.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114218459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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