{"title":"On the Impact of Generative Policies on Security Metrics","authors":"D. Verma, E. Bertino, Geeth de Mel, John Melrose","doi":"10.1109/SMARTCOMP.2019.00037","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00037","url":null,"abstract":"Policy based Security Management in an accepted practice in the industry, and required to simplify the administrative overhead associated with security management in complex systems. However, the growing dynamicity, complexity and scale of modern systems makes it difficult to write the security policies manually. Using AI, we can generate policies automatically. Security policies generated automatically can reduce the manual burden introduced in defining policies, but their impact on the overall security of a system is unclear. In this paper, we discuss the security metrics that can be associated with a system using generative policies, and provide a simple model to determine the conditions under which generating security policies will be beneficial to improve the security of the system. We also show that for some types of security metrics, a system using generative policies can be considered as equivalent to a system using manually defined policies, and the security metrics of the generative policy based system can be mapped to the security metrics of the manual system and vice-versa.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116098457","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 Survey of Taxi Ride Sharing System Architectures","authors":"Shrawani Silwal, Md. Osman Gani, V. Raychoudhury","doi":"10.1109/SMARTCOMP.2019.00044","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00044","url":null,"abstract":"The growing popularity of shared transportation enables researchers to explore a wide range of competing solutions. These propositions, in turn, uncover new challenges. Continuous research is done to design systems that are easy to scale and sustain. This survey categorizes ride sharing systems broadly into static and dynamic models. It also presents the system architectures for dynamic ride sharing systems such as central, distributed and hybrid design. This paper outlines the various algorithm designs adopted by the researchers over the years as well as provides an insight into the recent research conducted in this field. It also serves as a guide for potential future research directions towards identified open challenges.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122963034","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":"Analyzing Rhabdomyosarcoma using the Multimodal Clustering Approach (DReiM)","authors":"I. Odebode, A. Gangopadhyay","doi":"10.1109/SMARTCOMP.2019.00074","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00074","url":null,"abstract":"Rhabdomyosarcoma is a type of cancer that is connected to soft tissue, connective tissue, or bone. Every year 350 children are diagnosed with Rhabdomyosarcoma. Majority of the kids diagnosed with this disease are under ten years of age. Though the intensive conventional approach to treatment exists, patients are still at high risks to this aggressive disease. The need to gain understanding and insight into this disease can help the design of therapeutic agents. We utilized a multimodal network approach to gain an understanding of this mechanism. Protein phosphorylation has been mostly studied as a post-translational modification in eukaryotes. They play a significant role in various cellular processes. The mechanism of its oncogenes is not well known with various levels of signaling protein dysregulation. In the Phosphosite database, some proteins phosphorylate to cause Rhabdomyosarcoma. Our method utilizes a co-clustering approach using multimodal networks to analyze the rhabdomyosarcoma network. Rhabdomyosarcoma network in general consists of several heterogeneous networks that include gene-pathway, pathway-drug, and gene-drug. We reconstruct the phosphorylation network for Rhabdomyosarcoma, by creating a network that consists of different types of nodes. The goal is to implement this clustering approach to identify a potential candidate for Rhabdomyosarcoma. We applied network centrality measures to find the most influential nodes first and foremost and then used the clustering approach stated above towards drug repositioning.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127717393","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}
Nathan Patrizi, P. Apostolopoulos, Kelly Rael, Eirini-Eleni Tsiropoulou
{"title":"Socio-Physical Human Orchestration in Smart Cities","authors":"Nathan Patrizi, P. Apostolopoulos, Kelly Rael, Eirini-Eleni Tsiropoulou","doi":"10.1109/SMARTCOMP.2019.00039","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00039","url":null,"abstract":"The efficient management of a smart city and the improvement of the quality of humans' every-day life are becoming challenging problems due to smart cities' increased heterogeneity and complexity. In this paper, we present a novel socio-physical human orchestration framework to deal with the aforementioned issues, by capitalizing on recent advances in game theory and reinforcement learning. Initially, each human selects, in a distributed manner, a Point of Interest (PoI) that it wants to visit, by acting as stochastic learning automaton, exploiting the socio-physical conditions of the environment while learning from its previous experiences. As a result, those humans that have selected a specific PoI to visit, \"compete\" with each other in order to finally perform their visit. The humans' behavior is studied as a non-cooperative game among them, via adopting the theory of minority games, while the concluding Nash equilibrium point identifies the humans that will finally visit each PoI. A low complexity algorithm is introduced to realize the overall framework, while the performance of the proposed approach is evaluated through modeling and simulation under several scenarios, and its superiority is demonstrated.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115359892","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}
Giuseppe Tricomi, Giovanni Merlino, F. Longo, S. Distefano, A. Puliafito
{"title":"Software-Defined City Infrastructure: A Control Plane for Rewireable Smart Cities","authors":"Giuseppe Tricomi, Giovanni Merlino, F. Longo, S. Distefano, A. Puliafito","doi":"10.1109/SMARTCOMP.2019.00050","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00050","url":null,"abstract":"A Smart City can be envisioned as an ecosystem of smart environments that can be federated to interact one another, making infrastructure suitable to host innovative services for citizens and improve quality of city life. In such a context, interoperability and the presence of different administrative domains are the main challenges. In this paper, we propose to extend the Software-Defined City paradigm to both I/O and networking functions for implementing this vision. Through a motivating use case, we show how this approach can help in making city infrastructure a fully programmable ecosystem of resources that can be rewired any time at will.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127485027","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}
N. Desai, Wendy Chong, Heather D. Achilles, S. Daijavad, T. L. Porta
{"title":"Large-Scale Hybrid ad hoc Network for Mobile Platforms: Challenges and Experiences","authors":"N. Desai, Wendy Chong, Heather D. Achilles, S. Daijavad, T. L. Porta","doi":"10.1109/SMARTCOMP.2019.00070","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00070","url":null,"abstract":"Peer-to-peer (p2p) networks and Mobile ad hoc networks (MANET) have been widely studied. However, a real-world deployment for the masses has remained elusive. Ever-increasing density of mobile devices, especially in urban areas, has given rise to new applications of p2p communication. However, the modern smartphone platforms have limited support for such communications. Further, the issues of battery life, range, and trust remain unaddressed. A key question then is, what kinds of applications can the modern mobile platforms support and what challenges remain? This paper identifies a class of applications and presents a novel center-to-peer-to-peer (c2p2p) architecture called Mesh Network Alerts (MNA) to support them. We describe our experiences in deploying MNA as a real-world system to millions of users for relaying severe weather information along with the challenges faced, and the approaches for addressing them.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117316434","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}
Nirmalya Roy, Gurdip Singh, Sajal K. Das, K. Mankodiya, C. Vallati
{"title":"Message from the SmartSys 2019 Workshop and Program Co-Chairs","authors":"Nirmalya Roy, Gurdip Singh, Sajal K. Das, K. Mankodiya, C. Vallati","doi":"10.1109/smartcomp.2019.00013","DOIUrl":"https://doi.org/10.1109/smartcomp.2019.00013","url":null,"abstract":"","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128683145","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":"Message from the SSC 2019 Workshop Co-Chairs","authors":"Dario Bruneo, A. Puliafito","doi":"10.1109/smartcomp.2019.00016","DOIUrl":"https://doi.org/10.1109/smartcomp.2019.00016","url":null,"abstract":"It is our great pleasure to welcome you to the 5th IEEE Workshop on Sensors and Smart Cities (SSC 2019) collocated with the IEEE International Conference on Smart Computing (IEEE SMARTCOMP 2019). Smart cities represent an improvement of today’s cities both functionally and structurally that strategically utilizes many smart factors, such as information and communications technology, to increase the city’s sustainable growth and strengthen city functions. At the same time, smart cities aim to ensure citizens’ a better quality of life and health, even allowing them to be actors in their city. In this context, SSC provides an interesting forum where up-to-date technologies and applications are presented and new ideas and directions discussed among attendees from both academia and industry.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130620965","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. Alzantot, Amy Widdicombe, S. Julier, M. Srivastava
{"title":"NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning","authors":"M. Alzantot, Amy Widdicombe, S. Julier, M. Srivastava","doi":"10.1109/SMARTCOMP.2019.00033","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00033","url":null,"abstract":"Deep Neural Networks (DNNs) deliver state-of-the-art performance in many image recognition and understanding applications. However, despite their outstanding performance, these models are black-boxes and it is hard to understand how they make their decisions. Over the past few years, researchers have studied the problem of providing explanations of why DNNs predicted their results. However, existing techniques are either obtrusive, requiring changes in model training, or suffer from low output quality. In this paper, we present a novel method, NeuroMask, for generating an interpretable explanation of classification model results. When applied to image classification models, NeuroMask identifies the image parts that are most important to classifier results by applying a mask that hides/reveals different parts of the image, before feeding it back into the model. The mask values are tuned by minimizing a properly designed cost function that preserves the classification result and encourages producing an interpretable mask. Experiments using state-of-art Convolutional Neural Networks for image recognition on different datasets (CIFAR-10 and ImageNet) show that NeuroMask successfully localizes the parts of the input image which are most relevant to the DNN decision. By showing a visual quality comparison between NeuroMask explanations and those of other methods, we find NeuroMask to be both accurate and interpretable.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"461 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124353785","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}
José Clemente, Fangyu Li, Maria Valero, Wenzhan Song
{"title":"Demo: Contactless Device for Monitoring On-Bed Activities and Vital Signs","authors":"José Clemente, Fangyu Li, Maria Valero, Wenzhan Song","doi":"10.1109/SMARTCOMP.2019.00091","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00091","url":null,"abstract":"Monitoring sleep quality and status is important to learn health condition for improvement and prevent sleep apnea. A bed-mounted seismometer system is proposed to monitor the heart and respiratory rates, and body movement and posture, during the sleep. To effectively monitor sleep status, an innovative local maxima statistics based approach and an instantaneous property based method are developed to estimate heart and respiratory rates, respectively. These methods are more robust and stable compared to previous works. Besides, algorithms for body movement and posture identification are also investigated based on instantaneous properties. We incorporated these algorithms to create a novel contactless sleep monitoring system that can keep track of heart rate, respiration rate, movement patterns and posture changes on events near to the bed. Our technology includes a small, powerful and low-cost smart seismometer, that can be easily installed to a bed frame under the mattress or boxes, and a user-friendly graphic interface, that can be paired with smartphone devices and display results through the APPs notifications. A prototype system is demonstrated, showing great potentials in monitoring a person’s sleep status under different conditions.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126353249","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}