Pub Date : 2016-06-27DOI: 10.1109/ISCC.2016.7543840
Gulnur Selda Uyanik, S. Oktug
Cognitive radio networks (CRNs) are composed of unprivileged users as called secondary users (SUs) that utilize the spectrum opportunities produced by the absence of co-located privileged primary users (PUs). Providing a certain level of quality of service (QoS) to these SUs is a very challenging problem as these users are constrained strictly by PU arrivals. Many existing works tackled this problem by centralized and complex optimization techniques and complex mac layer protocols. As opposed to the existing QoS management schemes, in this paper, we propose a fast, distributed, PU temporal activity estimation aided spectrum assignment scheme for the SUs with traffic demands at different QoS levels. We designed our heuristic method by leveraging low prioritized (LP) packets over high prioritized (HP) packets on channels in heavy use in terms of temporal PU activity and used the opposite manner for the channels being in sparse use. We modeled our proposed scheme along with the network model we employed in MATLAB® and evaluated its performance with respect to a native scheme that utilities every spectrum opportunity for the HP traffic. Our simulations validated the effectiveness of the proposed channel assignment scheme in terms of Figure of Merit metric we defined reflecting the weighted sum of the throughput ratio values for packets of different QoS levels that successfully reached at the destination SU.
{"title":"Primary user activity classification aided channel assignment in cognitive radio networks","authors":"Gulnur Selda Uyanik, S. Oktug","doi":"10.1109/ISCC.2016.7543840","DOIUrl":"https://doi.org/10.1109/ISCC.2016.7543840","url":null,"abstract":"Cognitive radio networks (CRNs) are composed of unprivileged users as called secondary users (SUs) that utilize the spectrum opportunities produced by the absence of co-located privileged primary users (PUs). Providing a certain level of quality of service (QoS) to these SUs is a very challenging problem as these users are constrained strictly by PU arrivals. Many existing works tackled this problem by centralized and complex optimization techniques and complex mac layer protocols. As opposed to the existing QoS management schemes, in this paper, we propose a fast, distributed, PU temporal activity estimation aided spectrum assignment scheme for the SUs with traffic demands at different QoS levels. We designed our heuristic method by leveraging low prioritized (LP) packets over high prioritized (HP) packets on channels in heavy use in terms of temporal PU activity and used the opposite manner for the channels being in sparse use. We modeled our proposed scheme along with the network model we employed in MATLAB® and evaluated its performance with respect to a native scheme that utilities every spectrum opportunity for the HP traffic. Our simulations validated the effectiveness of the proposed channel assignment scheme in terms of Figure of Merit metric we defined reflecting the weighted sum of the throughput ratio values for packets of different QoS levels that successfully reached at the destination SU.","PeriodicalId":148096,"journal":{"name":"2016 IEEE Symposium on Computers and Communication (ISCC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132281393","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 : 2016-06-27DOI: 10.1109/ISCC.2016.7543846
Shuzhi Su, H. Ge, Yunhao Yuan
Locality-based feature learning has drawn more and more attentions recently. However, most of locality-based feature learning methods only consider a kind of local neighbor information, and such the locality-based methods are difficult to well reveal intrinsic geometrical structure of raw high-dimensional data. In this paper, we propose a novel multi-locality correlation feature learning algorithm for multi-view data, called multi-locality discrimination canonical correlation analysis (MLDCCA), which can learn nonlinear correlation features with strong discriminative power. Different from the locality-based methods, our algorithm not only employs multiple local patches of each raw data to well capture the intrinsic geometrical structure information, but also fully considers intraclass scatter information for further enhancing the class separability of the learned correlation features. Extensive experimental results on several real-word image datasets have demonstrated the effectiveness of our algorithm.
{"title":"Multi-locality correlation feature learning for image recognition","authors":"Shuzhi Su, H. Ge, Yunhao Yuan","doi":"10.1109/ISCC.2016.7543846","DOIUrl":"https://doi.org/10.1109/ISCC.2016.7543846","url":null,"abstract":"Locality-based feature learning has drawn more and more attentions recently. However, most of locality-based feature learning methods only consider a kind of local neighbor information, and such the locality-based methods are difficult to well reveal intrinsic geometrical structure of raw high-dimensional data. In this paper, we propose a novel multi-locality correlation feature learning algorithm for multi-view data, called multi-locality discrimination canonical correlation analysis (MLDCCA), which can learn nonlinear correlation features with strong discriminative power. Different from the locality-based methods, our algorithm not only employs multiple local patches of each raw data to well capture the intrinsic geometrical structure information, but also fully considers intraclass scatter information for further enhancing the class separability of the learned correlation features. Extensive experimental results on several real-word image datasets have demonstrated the effectiveness of our algorithm.","PeriodicalId":148096,"journal":{"name":"2016 IEEE Symposium on Computers and Communication (ISCC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133880927","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 : 2016-06-27DOI: 10.1109/ISCC.2016.7543867
Carlos Roberto de Rolt, R. Montanari, Marcelo Luiz Brocardo, L. Foschini, J. S. Dias
Recent advancements in wireless technologies and the widespread availability of smartphones equipped with several physical and virtual sensors are leading to the emergence of novel mobile healthcare scenarios where patients with critical physical/behavioral conditions can be provided with anywhere and anytime care assistance even while on the move. Crowdsensing, through the massive use of smartphone sensors further enhances the potential of supporting participatory management of emergency scenarios. This paper presents a macro process modelling of crowdsourced-based participatory emergency scenarios and, accordingly, proposes a crowdsensing-based middleware called COLLEGA that provides comprehensive management functionalities for supporting prompt assistance in case of a medical emergency. In particular, through participatory and opportunistic sensing, the COLLEGA framework allows dynamic formation of ad-hoc assistance groups formed by passing-by users capable of assisting mobile patients in need of help while waiting for professional caregivers and provides support for understanding the emergency situation and effectively planning and executing assistance actions.
{"title":"COLLEGA middleware for the management of participatory Mobile Health Communities","authors":"Carlos Roberto de Rolt, R. Montanari, Marcelo Luiz Brocardo, L. Foschini, J. S. Dias","doi":"10.1109/ISCC.2016.7543867","DOIUrl":"https://doi.org/10.1109/ISCC.2016.7543867","url":null,"abstract":"Recent advancements in wireless technologies and the widespread availability of smartphones equipped with several physical and virtual sensors are leading to the emergence of novel mobile healthcare scenarios where patients with critical physical/behavioral conditions can be provided with anywhere and anytime care assistance even while on the move. Crowdsensing, through the massive use of smartphone sensors further enhances the potential of supporting participatory management of emergency scenarios. This paper presents a macro process modelling of crowdsourced-based participatory emergency scenarios and, accordingly, proposes a crowdsensing-based middleware called COLLEGA that provides comprehensive management functionalities for supporting prompt assistance in case of a medical emergency. In particular, through participatory and opportunistic sensing, the COLLEGA framework allows dynamic formation of ad-hoc assistance groups formed by passing-by users capable of assisting mobile patients in need of help while waiting for professional caregivers and provides support for understanding the emergency situation and effectively planning and executing assistance actions.","PeriodicalId":148096,"journal":{"name":"2016 IEEE Symposium on Computers and Communication (ISCC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115905897","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 : 2016-06-27DOI: 10.1109/ISCC.2016.7543727
Domenico Calcaterra, G. Modica, O. Tomarchio, P. Romeo
In recent years we have been witnessing significant advances in the medical imaging techniques. With respect to the past, current imaging processes enable physicians to reach higher precision level when it comes to diagnosing patients' diseases. Such a precision is supported by sophisticated imaging machinery, whose cost increases with the technological advances. Also, most of imaging scans expose patients to ionizing radiation which in certain cases may seriously harm their health. In this panorama, ordering inappropriate imaging examinations has a great impact on both the economy of a nation and on its citizens' health. Many governments have published guidelines which physicians should follow when deciding which imaging technique is to be prescribed to best answer to a clinical question. The COLLABORADI project is a recently concluded research project which studied the phenomenon of inappropriate imaging prescriptions in Sicily (Italy), and proposed the design and implementation of a decision support system to help physicians to set up the most appropriate diagnostic route for their patients. This paper discusses the work carried out within the project.
{"title":"The COLLABORADI project: A rule-based diagnostic imaging prescription system","authors":"Domenico Calcaterra, G. Modica, O. Tomarchio, P. Romeo","doi":"10.1109/ISCC.2016.7543727","DOIUrl":"https://doi.org/10.1109/ISCC.2016.7543727","url":null,"abstract":"In recent years we have been witnessing significant advances in the medical imaging techniques. With respect to the past, current imaging processes enable physicians to reach higher precision level when it comes to diagnosing patients' diseases. Such a precision is supported by sophisticated imaging machinery, whose cost increases with the technological advances. Also, most of imaging scans expose patients to ionizing radiation which in certain cases may seriously harm their health. In this panorama, ordering inappropriate imaging examinations has a great impact on both the economy of a nation and on its citizens' health. Many governments have published guidelines which physicians should follow when deciding which imaging technique is to be prescribed to best answer to a clinical question. The COLLABORADI project is a recently concluded research project which studied the phenomenon of inappropriate imaging prescriptions in Sicily (Italy), and proposed the design and implementation of a decision support system to help physicians to set up the most appropriate diagnostic route for their patients. This paper discusses the work carried out within the project.","PeriodicalId":148096,"journal":{"name":"2016 IEEE Symposium on Computers and Communication (ISCC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134478246","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 : 2016-06-27DOI: 10.1109/ISCC.2016.7543728
C. Bernardeschi, A. Domenici, P. Masci
Health care practices increasingly rely on complex technological infrastructure, and new approaches to the integration of information and communication technology in those practices lead to the development of such concepts as integrated clinical environments and smart intensive care units. These concepts refer to hospital settings where therapy relies heavily on inter-operating medical devices, supervised by clinicians assisted by advanced monitoring and co-ordinating software. In order to ensure safety and effectiveness of patient care, it is necessary to specify the requirements of such socio-technical systems in the most rigorous and precise way. This paper presents an approach to the formalization of system requirements for communication networks deployed in integrated clinical environment, based on the higher-order logic language of a theorem-proving environment, the Prototype Verification System.
{"title":"Modeling communication network requirements for an integrated clinical environment in the Prototype Verification System","authors":"C. Bernardeschi, A. Domenici, P. Masci","doi":"10.1109/ISCC.2016.7543728","DOIUrl":"https://doi.org/10.1109/ISCC.2016.7543728","url":null,"abstract":"Health care practices increasingly rely on complex technological infrastructure, and new approaches to the integration of information and communication technology in those practices lead to the development of such concepts as integrated clinical environments and smart intensive care units. These concepts refer to hospital settings where therapy relies heavily on inter-operating medical devices, supervised by clinicians assisted by advanced monitoring and co-ordinating software. In order to ensure safety and effectiveness of patient care, it is necessary to specify the requirements of such socio-technical systems in the most rigorous and precise way. This paper presents an approach to the formalization of system requirements for communication networks deployed in integrated clinical environment, based on the higher-order logic language of a theorem-proving environment, the Prototype Verification System.","PeriodicalId":148096,"journal":{"name":"2016 IEEE Symposium on Computers and Communication (ISCC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131654397","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 : 2016-06-27DOI: 10.1109/ISCC.2016.7543785
C. Marquezan, Xueli An, Z. Despotovic, R. Khalili, A. Hecker
Software Defined Networking (SDN) is considered one of the major driving factors to bring radical changes on Mobile Core Networks (MCN) design. There are many proposals on how to advocate SDN methodology, however, most of them stop at “vision” level without providing details about key performance contributors. In this paper, we tackle this gap and present a study of latency in SDN based MCN. We identify the major factors and elements in an SDN MCN that contribute to the overall latency. Two types of latency are considered: the processing delay inside the SDN control plane and the transmission delay of SDN control messages between controller and the managed switches. We use a realistic system setup with implementations of SDN controller and SDN application, as well as in-band transfer of control messages among switches and controller. We compare the latency obtained from SDN based MCN with the Evolved Packet Core (EPC). The observed overall latency in our experiments for SDN based MCN is within the EPC requirements. The direct comparison of the SDN versus EPC based MCN in the proposed scenarios show the first can reduce the overall latency. We also identified that the calls to controller APIs can be the major key contributors to the overall latency in SDN MCN, but the act of transmitting more control messages from the controller to the switches to setup longer flowpaths is not a key contributor for the overall latency.
{"title":"Identifying latency factors in SDN-based Mobile Core Networks","authors":"C. Marquezan, Xueli An, Z. Despotovic, R. Khalili, A. Hecker","doi":"10.1109/ISCC.2016.7543785","DOIUrl":"https://doi.org/10.1109/ISCC.2016.7543785","url":null,"abstract":"Software Defined Networking (SDN) is considered one of the major driving factors to bring radical changes on Mobile Core Networks (MCN) design. There are many proposals on how to advocate SDN methodology, however, most of them stop at “vision” level without providing details about key performance contributors. In this paper, we tackle this gap and present a study of latency in SDN based MCN. We identify the major factors and elements in an SDN MCN that contribute to the overall latency. Two types of latency are considered: the processing delay inside the SDN control plane and the transmission delay of SDN control messages between controller and the managed switches. We use a realistic system setup with implementations of SDN controller and SDN application, as well as in-band transfer of control messages among switches and controller. We compare the latency obtained from SDN based MCN with the Evolved Packet Core (EPC). The observed overall latency in our experiments for SDN based MCN is within the EPC requirements. The direct comparison of the SDN versus EPC based MCN in the proposed scenarios show the first can reduce the overall latency. We also identified that the calls to controller APIs can be the major key contributors to the overall latency in SDN MCN, but the act of transmitting more control messages from the controller to the switches to setup longer flowpaths is not a key contributor for the overall latency.","PeriodicalId":148096,"journal":{"name":"2016 IEEE Symposium on Computers and Communication (ISCC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134153865","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 : 2016-06-27DOI: 10.1109/ISCC.2016.7543724
Zeineb Guizani, N. Hamdi
High expectations are tied to the millimeter wave (mmWave) technology and device to device (D2D) communications to leverage the capacity and the spectrum efficiency in 5th generation (5G) systems. In this context, we carry out a resource allocation scheme designed to enable D2D communications underlay cellular network in the E-band. The proposed scheme aims to enhance the system throughput and alleviate the interference caused by dense networks of D2D pairs that share and reuse the same resource blocks of cellular users. We provide a formulation of the optimization problem and indicate its NP-hardness. A great deal of merit is given to our resource re-use solution as it managed to increase the overall system throughput and it achieved significant results in mitigating the interference. Moreover, we shed light on how the system evolves when the transmit powers of both user terminals and device terminals increases.
{"title":"mmWave E-band D2D communications for 5G-underlay networks: Effect of power allocation on D2D and cellular users throughputs","authors":"Zeineb Guizani, N. Hamdi","doi":"10.1109/ISCC.2016.7543724","DOIUrl":"https://doi.org/10.1109/ISCC.2016.7543724","url":null,"abstract":"High expectations are tied to the millimeter wave (mmWave) technology and device to device (D2D) communications to leverage the capacity and the spectrum efficiency in 5th generation (5G) systems. In this context, we carry out a resource allocation scheme designed to enable D2D communications underlay cellular network in the E-band. The proposed scheme aims to enhance the system throughput and alleviate the interference caused by dense networks of D2D pairs that share and reuse the same resource blocks of cellular users. We provide a formulation of the optimization problem and indicate its NP-hardness. A great deal of merit is given to our resource re-use solution as it managed to increase the overall system throughput and it achieved significant results in mitigating the interference. Moreover, we shed light on how the system evolves when the transmit powers of both user terminals and device terminals increases.","PeriodicalId":148096,"journal":{"name":"2016 IEEE Symposium on Computers and Communication (ISCC)","volume":"31 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132027275","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 : 2016-06-27DOI: 10.1109/ISCC.2016.7543882
Alessandro Lulli, L. Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, P. Michiardi, M. Nanni, L. Ricci
Statistical authorities promote and safeguard the production and publication of official statistics that serve the public good. One of their duties is to monitor the presence of individuals region by region. Traditionally this activity has been conducted by means of censuses and surveys. Nowadays technologies open new possibilities such as a continuous sensing of the presences by leveraging the data associated to mobile devices, e.g., the behaviour of users on doing calls. In this paper first we propose a specifically conceived similarity function able to capture similarity between individuals call behaviours. Second we make use of a clustering algorithm able to handle arbitrary metric leading to a good internal and external consistency of clusters. The approach provides better population estimation with respect to state of the art comparing with real census data. The scalability and flexibility that characterises the proposed framework enables novel scenarios for the characterization of people by means of data derived from mobile users, ranging from the nearly-realtime estimation of presences to the definition of complex, uncommon user archetypes.
{"title":"Improving population estimation from mobile calls: A clustering approach","authors":"Alessandro Lulli, L. Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, P. Michiardi, M. Nanni, L. Ricci","doi":"10.1109/ISCC.2016.7543882","DOIUrl":"https://doi.org/10.1109/ISCC.2016.7543882","url":null,"abstract":"Statistical authorities promote and safeguard the production and publication of official statistics that serve the public good. One of their duties is to monitor the presence of individuals region by region. Traditionally this activity has been conducted by means of censuses and surveys. Nowadays technologies open new possibilities such as a continuous sensing of the presences by leveraging the data associated to mobile devices, e.g., the behaviour of users on doing calls. In this paper first we propose a specifically conceived similarity function able to capture similarity between individuals call behaviours. Second we make use of a clustering algorithm able to handle arbitrary metric leading to a good internal and external consistency of clusters. The approach provides better population estimation with respect to state of the art comparing with real census data. The scalability and flexibility that characterises the proposed framework enables novel scenarios for the characterization of people by means of data derived from mobile users, ranging from the nearly-realtime estimation of presences to the definition of complex, uncommon user archetypes.","PeriodicalId":148096,"journal":{"name":"2016 IEEE Symposium on Computers and Communication (ISCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133452166","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 : 2016-06-27DOI: 10.1109/ISCC.2016.7543729
I. D. Falco, U. Scafuri, E. Tarantino
The problem of automatically extracting novel and interesting knowledge from large amount of data is often performed heuristically when pattern extraction through classical statistical methods is found hard. In this paper an evolutionary approach, based on Differential Evolution, is proposed, which is able to perform the automatic discovery of comprehensible classification rules as a set of IF...THEN rules over a database of Multiple Sclerosis potential lesions. Moreover, this tool also determines which the most discriminant database attributes are in categorizing instances. Therefore, this evolutionary tool provides an efficient decision support system for clinical decisions, that could be a useful tool for medical experts to help them gain insight into the reasons for assessing the abnormality of a lesion.
{"title":"A Differential Evolution approach for classification of Multiple Sclerosis lesions","authors":"I. D. Falco, U. Scafuri, E. Tarantino","doi":"10.1109/ISCC.2016.7543729","DOIUrl":"https://doi.org/10.1109/ISCC.2016.7543729","url":null,"abstract":"The problem of automatically extracting novel and interesting knowledge from large amount of data is often performed heuristically when pattern extraction through classical statistical methods is found hard. In this paper an evolutionary approach, based on Differential Evolution, is proposed, which is able to perform the automatic discovery of comprehensible classification rules as a set of IF...THEN rules over a database of Multiple Sclerosis potential lesions. Moreover, this tool also determines which the most discriminant database attributes are in categorizing instances. Therefore, this evolutionary tool provides an efficient decision support system for clinical decisions, that could be a useful tool for medical experts to help them gain insight into the reasons for assessing the abnormality of a lesion.","PeriodicalId":148096,"journal":{"name":"2016 IEEE Symposium on Computers and Communication (ISCC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116028253","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 : 2016-06-27DOI: 10.1109/ISCC.2016.7543856
Yuncheng Wu, Juru Zeng, Hong Chen, Yao Wu, Wenjuan Liang, Hui Peng, Cuiping Li
Recently, listwise ranking-oriented collaborative filtering (CF) algorithms have gained great success in recommender systems. However, the ranked preference list may compromise the privacy of individuals. A notable paradigm for offering strong privacy guarantee is differential privacy. In this paper, we propose DPListCF, a differentially private algorithm based on ListCF (a state-of-art listwise CF algorithm). The main idea of DPListCF is to make both of the similarity calculation phase and rank prediction phase of ListCF satisfy differential privacy, by using input perturbation method and output perturbation method in the two phases respectively. Extensive experiments using two real datasets evaluate the performance of DPListCF, and demonstrate that the proposed algorithm outperforms state-of-art approaches.
{"title":"DPListCF: A differentially private approach for listwise collaborative filtering","authors":"Yuncheng Wu, Juru Zeng, Hong Chen, Yao Wu, Wenjuan Liang, Hui Peng, Cuiping Li","doi":"10.1109/ISCC.2016.7543856","DOIUrl":"https://doi.org/10.1109/ISCC.2016.7543856","url":null,"abstract":"Recently, listwise ranking-oriented collaborative filtering (CF) algorithms have gained great success in recommender systems. However, the ranked preference list may compromise the privacy of individuals. A notable paradigm for offering strong privacy guarantee is differential privacy. In this paper, we propose DPListCF, a differentially private algorithm based on ListCF (a state-of-art listwise CF algorithm). The main idea of DPListCF is to make both of the similarity calculation phase and rank prediction phase of ListCF satisfy differential privacy, by using input perturbation method and output perturbation method in the two phases respectively. Extensive experiments using two real datasets evaluate the performance of DPListCF, and demonstrate that the proposed algorithm outperforms state-of-art approaches.","PeriodicalId":148096,"journal":{"name":"2016 IEEE Symposium on Computers and Communication (ISCC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115164120","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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