A Fog Computing architecture consists of edge nodes that generate and possibly pre-process (sensor) data, fog nodes that do some processing quickly and do any actuations that may be needed, and cloud nodes that may perform further detailed analysis for long-term and archival purposes. Processing of a batch of input data is distributed into sub-computations which are executed at the different nodes of the architecture. In many applications, the computations are expected to preserve the order in which the batches arrive at the sources. In this paper, we discuss mechanisms for performing the computations at a node in correct order, by storing some batches temporarily and/or dropping some batches. The former option causes a delay in processing and the latter option affects Quality of Service (QoS). We bring out the trade-offs between processing delay and storage capabilities of the nodes, and also between QoS and the storage capabilities. Keywords— Fog computing, Order preserving computations, Quality of Service
{"title":"Order Preserving Stream Processing In Fog Computing Architectures","authors":"Vidyasankar K","doi":"10.5121/csit.2019.90104","DOIUrl":"https://doi.org/10.5121/csit.2019.90104","url":null,"abstract":"A Fog Computing architecture consists of edge nodes that generate and possibly pre-process (sensor) data, fog nodes that do some processing quickly and do any actuations that may be needed, and cloud nodes that may perform further detailed analysis for long-term and archival purposes. Processing of a batch of input data is distributed into sub-computations which are executed at the different nodes of the architecture. In many applications, the computations are expected to preserve the order in which the batches arrive at the sources. In this paper, we discuss mechanisms for performing the computations at a node in correct order, by storing some batches temporarily and/or dropping some batches. The former option causes a delay in processing and the latter option affects Quality of Service (QoS). We bring out the trade-offs between processing delay and storage capabilities of the nodes, and also between QoS and the storage capabilities. Keywords— Fog computing, Order preserving computations, Quality of Service","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44580523","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}
{"title":"PHISHING DETECTION FROM URLS BY USING NEURAL NETWORKS","authors":"O. K. Sahingoz, Saide Isilay Baykal, Deniz Bulut","doi":"10.5121/CSIT.2018.81705","DOIUrl":"https://doi.org/10.5121/CSIT.2018.81705","url":null,"abstract":"","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70598771","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}
{"title":"PREDICTING SECURITY CRITICAL CONDITIONS OF CYBER PHYSICAL SYSTEMS WITH UNOBSERVABLES AND OBSERVATION TIMES","authors":"A. Coletta","doi":"10.5121/CSIT.2018.81807","DOIUrl":"https://doi.org/10.5121/CSIT.2018.81807","url":null,"abstract":"","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41243363","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}
Fang-Yi Chang, Shu-wei Lin, Chia-Wei Tsai, Po-Chun Kuo
Clustering is an useful tool in the data analysis to discover the natural structure in the data. The technique separates given smart meter data set into several representative clusters for the convenience of energy management. Each cluster may has its own attributes, such as energy usage time and magnitude. These attributes can help the electrical operators to manage their electrical grids with goals of energy and cost reduction. In this paper, we use principle component analysis and K-means as dimensional reduction and the reference clustering algorithm, respectively, and several choices must be considered: the number of cluster, the number of the leading principle components, and whether use normalized principle analysis schema or not. To answer these issues simultaneously, we use the stability scores as measured by dot similarity and confusion matrix as our evaluation decision. The advantage is that it is useful for comparing the performance under different decisions, and thus provides us to make these choices simultaneously.
{"title":"RESIDENTIAL LOAD PROFILE ANALYSIS USING CLUSTERING STABILITY","authors":"Fang-Yi Chang, Shu-wei Lin, Chia-Wei Tsai, Po-Chun Kuo","doi":"10.5121/CSIT.2018.81707","DOIUrl":"https://doi.org/10.5121/CSIT.2018.81707","url":null,"abstract":"Clustering is an useful tool in the data analysis to discover the natural structure in the data. The technique separates given smart meter data set into several representative clusters for the convenience of energy management. Each cluster may has its own attributes, such as energy usage time and magnitude. These attributes can help the electrical operators to manage their electrical grids with goals of energy and cost reduction. In this paper, we use principle component analysis and K-means as dimensional reduction and the reference clustering algorithm, respectively, and several choices must be considered: the number of cluster, the number of the leading principle components, and whether use normalized principle analysis schema or not. To answer these issues simultaneously, we use the stability scores as measured by dot similarity and confusion matrix as our evaluation decision. The advantage is that it is useful for comparing the performance under different decisions, and thus provides us to make these choices simultaneously.","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48234212","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}
{"title":"A PREFERMENT PLATFORM FOR IMPLEMENTING SECURITY MECHANISM FOR AUTOMOTIVE CAN BUS","authors":"Mabrouka Gmiden, M. H. Gmiden, Hafedh Gmiden","doi":"10.5121/csit.2018.81813","DOIUrl":"https://doi.org/10.5121/csit.2018.81813","url":null,"abstract":"","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49049867","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}
M. Kedziora, Paulina Gawin, Michał Szczepanik, I. Józwiak
This paper is focused on the issue of malware detection for Android mobile system by Reverse Engineering of java code. The characteristics of malicious software were identified based on a collected set of applications. Total number of 1958 applications where tested (including 996 malware apps). A unique set of features was chosen. Five classification algorithms (Random Forest, SVM, K-NN, Nave Bayes, Logistic Regression) and three attribute selection algorithms were examined in order to choose those that would provide the most effective malware detection.
{"title":"ANDROID MALWARE DETECTION USING MACHINE LEARNING AND REVERSE ENGINEERING","authors":"M. Kedziora, Paulina Gawin, Michał Szczepanik, I. Józwiak","doi":"10.5121/csit.2018.81709","DOIUrl":"https://doi.org/10.5121/csit.2018.81709","url":null,"abstract":"This paper is focused on the issue of malware detection for Android mobile system by Reverse Engineering of java code. The characteristics of malicious software were identified based on a collected set of applications. Total number of 1958 applications where tested (including 996 malware apps). A unique set of features was chosen. Five classification algorithms (Random Forest, SVM, K-NN, Nave Bayes, Logistic Regression) and three attribute selection algorithms were examined in order to choose those that would provide the most effective malware detection.","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42729930","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}
When low-interaction honey net systems are not powerful enough and high-interaction honey net systems require a lot of resources, hybrid solutions offer the benefit’s of both worlds. Affected by this trend, more and more hybrid honey net systems have been proposed to obtain wide coverage of attack traffic and high behavioral ideality in recent years. However, these system themselves contain some limitations such as the high latency, the lack of prevention method for compromised honey pots, the waste of resources and the finger printing problem of honey pot that hinder them to achieve their goals. To address these limitations, we propose a new honey net architecture called Efficient Elastic Hybrid Honey net. Utilizing the advantages of combining SDN and NFV technologies, this system can reduce the response time for attack traffic, isolate compromised honey pots effectively, defeat the finger printing problem of honey pots, and optimize the resources for maintenance and deployment. Testing our system with real attack traffic, the results have showed that Efficient Elastic-Hybrid Honey net system is not only practical, but also very efficient.
{"title":"AN ELASTIC-HYBRID HONEYNET FOR CLOUD ENVIRONMENT","authors":"Nguyen Khac Bao, S. Ahn, Minho Park","doi":"10.5121/CSIT.2018.81809","DOIUrl":"https://doi.org/10.5121/CSIT.2018.81809","url":null,"abstract":"When low-interaction honey net systems are not powerful enough and high-interaction honey net systems require a lot of resources, hybrid solutions offer the benefit’s of both worlds. Affected by this trend, more and more hybrid honey net systems have been proposed to obtain wide coverage of attack traffic and high behavioral ideality in recent years. However, these system themselves contain some limitations such as the high latency, the lack of prevention method for compromised honey pots, the waste of resources and the finger printing problem of honey pot that hinder them to achieve their goals. To address these limitations, we propose a new honey net architecture called Efficient Elastic Hybrid Honey net. Utilizing the advantages of combining SDN and NFV technologies, this system can reduce the response time for attack traffic, isolate compromised honey pots effectively, defeat the finger printing problem of honey pots, and optimize the resources for maintenance and deployment. Testing our system with real attack traffic, the results have showed that Efficient Elastic-Hybrid Honey net system is not only practical, but also very efficient.","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47662438","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}
I. Mishkovski, S. Šćepanović, Miroslav Mirchev, Sasho Gramatikov
Knowledge about the strength of the anti-virus engines (i.e. tools) to detect malware files on the Deep web is important for people and companies to devise proper security polices and to choose the proper tool in order to be more secure. In this study, using malware file set crawled from the Deep web we detect similarities and possible groupings between plethora of anti-virus tools (AVTs) that exist on the market. Moreover, using graph theory, data science and visualization we find which of the existing AVTs has greater advantage in detecting malware over the other AVTs, in a sense that the AVT detects many unique. Finally, we propose a solution, for the given malware set, what is the best strategy for a company to defend against malwares if it uses a multi-scanning approach.
{"title":"ANTI-VIRUS TOOLS ANALYSIS USING DEEP WEB MALWARES","authors":"I. Mishkovski, S. Šćepanović, Miroslav Mirchev, Sasho Gramatikov","doi":"10.5121/csit.2018.81713","DOIUrl":"https://doi.org/10.5121/csit.2018.81713","url":null,"abstract":"Knowledge about the strength of the anti-virus engines (i.e. tools) to detect malware files on the Deep web is important for people and companies to devise proper security polices and to choose the proper tool in order to be more secure. In this study, using malware file set crawled from the Deep web we detect similarities and possible groupings between plethora of anti-virus tools (AVTs) that exist on the market. Moreover, using graph theory, data science and visualization we find which of the existing AVTs has greater advantage in detecting malware over the other AVTs, in a sense that the AVT detects many unique. Finally, we propose a solution, for the given malware set, what is the best strategy for a company to defend against malwares if it uses a multi-scanning approach.","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45064647","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}
{"title":"A POST-PROCESSING METHOD BASED ON FULLY CONNECTED CRFS FOR CHRONIC WOUND IMAGES SEGMENTATION AND IDENTIFICATION","authors":"Junnan Zhang, Hanyi Nie","doi":"10.5121/csit.2018.81703","DOIUrl":"https://doi.org/10.5121/csit.2018.81703","url":null,"abstract":"","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43991605","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}
M. B. Yassein, Ismail Hmeidi, Y. Khamayseh, M. Al-Rousan, Danah Arrabi
MANET (Mobile Ad-hoc Network) is simply a set of mobile hosts connected wirelessly without any centralized management, where each node acts as a packet sender, packet receiver, and a router at the same time. According to the nature of this network, the dynamic topology and the absence of a centralized management cause several security issues and attacks, such as the black hole attack, the wormhole attack, and the impersonation and repudiation attack. In this survey, we are going to introduce the Black Hole attack security issues and some of the detection techniques used to detect the black hole attack. In this kind of attack (black hole attack) the intruders manipulate the normal behavior of the network, by introducing themselves as the node with the shortest path to the destination. Intruders can do a malicious behavior over the network.
{"title":"BLACK HOLE ATTACK SECURITY ISSUES, CHALLENGES & SOLUTION IN MANET","authors":"M. B. Yassein, Ismail Hmeidi, Y. Khamayseh, M. Al-Rousan, Danah Arrabi","doi":"10.5121/CSIT.2018.81815","DOIUrl":"https://doi.org/10.5121/CSIT.2018.81815","url":null,"abstract":"MANET (Mobile Ad-hoc Network) is simply a set of mobile hosts connected wirelessly without any centralized management, where each node acts as a packet sender, packet receiver, and a router at the same time. According to the nature of this network, the dynamic topology and the absence of a centralized management cause several security issues and attacks, such as the black hole attack, the wormhole attack, and the impersonation and repudiation attack. In this survey, we are going to introduce the Black Hole attack security issues and some of the detection techniques used to detect the black hole attack. In this kind of attack (black hole attack) the intruders manipulate the normal behavior of the network, by introducing themselves as the node with the shortest path to the destination. Intruders can do a malicious behavior over the network.","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43224994","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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