Proceedings of the Symposium on Applied Computing最新文献_第4页

Reduction techniques for efficient behavioral model checking in adaptive case management 自适应案例管理中高效行为模型检查的约简技术

Proceedings of the Symposium on Applied Computing Pub Date : 2017-04-03 DOI: 10.1145/3019612.3019617

Christoph Czepa, Huy Tran, Uwe Zdun, T. Tran, E. Weiss, C. Ruhsam

引用次数: 3

Human enabled green IoT in 5G networks 5G网络中人类启用的绿色物联网

Proceedings of the Symposium on Applied Computing Pub Date : 2017-04-03 DOI: 10.1145/3019612.3019689

Sadia Din, Awais Ahmad, Anand Paul

{"title":"Human enabled green IoT in 5G networks","authors":"Sadia Din, Awais Ahmad, Anand Paul","doi":"10.1145/3019612.3019689","DOIUrl":"https://doi.org/10.1145/3019612.3019689","url":null,"abstract":"Internet of Things (IoT) plays a major role in connecting the physical world with the cyber world through new services and seamless interconnection between heterogeneous devices. Such heterogeneous devices tend to generate a massive volume of Big Data. However, exploiting green schemes for IoT is still a challenge since IoT attains a large scale and becomes more multifaceted, the current trends of analyzing Big Data are not directly applicable to it. Similarly, achieving green IoT through the use of 5G also poses new challenges when it comes to transferring huge volume of data in an efficient way. To address the challenges above, this paper presents a scheme for human- enabled green IoT in 5G network. Green IoT is achieved by grouping mobile nodes in a cluster. Also, a mobility management model is designed that helps in triggering efficient handover and selecting optimal networks based on multi-criteria decision modeling. Afterward, we design a network architecture that integrates green IoT with 5G network. Moreover, the 5G network architecture is supported by proposed protocol stack, which maps Internet Protocol (IP), Medium Access Protocol (MAC), and Location identifiers (LOC). The proposed scheme is also implemented using C programming language to validate mobility model in 5G, regarding cost, energy, and Quality of Service.","PeriodicalId":20728,"journal":{"name":"Proceedings of the Symposium on Applied Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80986446","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}

引用次数: 2

Proceedings of the Symposium on Applied Computing 应用计算研讨会论文集

Proceedings of the Symposium on Applied Computing Pub Date : 2017-04-03 DOI: 10.1145/3019612

Sung Y. Shin, Dongwan Shin, Maria Lencastre

引用次数: 6

Improving service time with a multicore aware middleware 使用多核感知中间件改进服务时间

Proceedings of the Symposium on Applied Computing Pub Date : 2017-04-03 DOI: 10.1145/3019612.3019741

M. García-Valls, Christian Calva-Urrego

引用次数: 19

Decentralized privacy-aware collaborative filtering of smart spammers in a telecommunication network 电信网络中智能垃圾邮件发送者的分散隐私感知协同过滤

Proceedings of the Symposium on Applied Computing Pub Date : 2017-04-03 DOI: 10.1145/3019612.3019792

M. A. Azad, Samiran Bag

{"title":"Decentralized privacy-aware collaborative filtering of smart spammers in a telecommunication network","authors":"M. A. Azad, Samiran Bag","doi":"10.1145/3019612.3019792","DOIUrl":"https://doi.org/10.1145/3019612.3019792","url":null,"abstract":"Smart spammers and telemarketers circumvent the standalone spam detection systems by making low rate spam-ming activity to a large number of recipients distributed across many telecommunication operators. The collaboration among multiple telecommunication operators (OPs) will allow operators to get rid of unwanted callers at the early stage of their spamming activity. The challenge in the design of collaborative spam detection system is that OPs are not willing to share certain information about behaviour of their users/customers because of privacy concerns. Ideally, operators agree to share certain aggregated statistical information if collaboration process ensures complete privacy protection of users and their network data. To address this challenge and convince OPs for the collaboration, this paper proposes a decentralized reputation aggregation protocol that enables OPs to take part in a collaboration process without use of a trusted third party centralized system and without developing a predefined trust relationship with other OPs. To this extent, the collaboration among operators is achieved through the exchange of cryptographic reputation scores among OPs thus fully protects relationship network and reputation scores of users even in the presence of colluders. We evaluate the performance of proposed protocol over the simulated data consisting of five collaborators. Experimental results revealed that proposed approach outperforms standalone systems in terms of true positive rate and false positive rate.","PeriodicalId":20728,"journal":{"name":"Proceedings of the Symposium on Applied Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83346779","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}

引用次数: 13

Proceedings of the Symposium on Applied Computing Pub Date : 2017-04-03 DOI: 10.1145/3019612.3019926

Gyoosik Kim

{"title":"On computing similarity of android executables using text mining: student research abstract","authors":"Gyoosik Kim","doi":"10.1145/3019612.3019926","DOIUrl":"https://doi.org/10.1145/3019612.3019926","url":null,"abstract":"According to Comscore1, Android users in the U.S spend an average of 2.8 hours per day using mobile media. On the other hand, according to Statista reports2, Android users were able to choose between 2.2 million applications on June 2016. Among these applications, there are ones reported by Google Android Security Service3 as malware, virus, or illegal theft. Many tools such as Dex2Jar4, apktool5, and jd-gui6 analyze and reverse engineer Android applications and can be used to illegally copy or transform the applications as well. In order to protect applications from piracy or illegal theft, it is necessary to detect theft by measuring application similarity. In the literature, previous studies on theft detection have measured application similarity at two levels, source or executable code level, which have some limitations. Source codes are not available if the codes are legacy one or are developed by upstream suppliers. In the case of the executable codes, application similarity is measured 1) using the source codes decompiled from the executables, or 2) using the characteristics extracted from the executables (i.e., birthmark). For example, DroidMoss [5] applied a fuzzy hashing technique to effectively localize and detect the changes from app-repackaging behavior. Reference [4] proposed software birthmarks to show the unique characteristics of a program and detected software theft based on the birthmarks.","PeriodicalId":20728,"journal":{"name":"Proceedings of the Symposium on Applied Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90811866","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}

引用次数: 2

A computational model to evaluate honesty in social internet of things 社会物联网诚信评价的计算模型

Proceedings of the Symposium on Applied Computing Pub Date : 2017-04-03 DOI: 10.1145/3019612.3019840

Upul Jayasinghe, Hyun-Woo Lee, G. Lee

引用次数: 23

Session details: DTTA - database theory, technology and applications track 课程详细内容:DTTA -数据库理论、技术及应用跟踪

Proceedings of the Symposium on Applied Computing Pub Date : 2017-04-03 DOI: 10.1145/3243959

引用次数: 0

Ontology-based workflow pattern mining: application to bioinformatics expertise acquisition 基于本体的工作流模式挖掘:在生物信息学专业知识获取中的应用

Proceedings of the Symposium on Applied Computing Pub Date : 2017-04-03 DOI: 10.1145/3019612.3019866

Ahmed Halioui, Tomas Martin, Petko Valtchev, Abdoulaye Baniré Diallo

{"title":"Ontology-based workflow pattern mining: application to bioinformatics expertise acquisition","authors":"Ahmed Halioui, Tomas Martin, Petko Valtchev, Abdoulaye Baniré Diallo","doi":"10.1145/3019612.3019866","DOIUrl":"https://doi.org/10.1145/3019612.3019866","url":null,"abstract":"Workflow platforms enable the construction of solutions to complex problems as step-wise processes made of components including methods, tools, data formats, parameters, etc. Successful workflow solutions require a mastering of the different components paving the way to automated acquisition of problem solving expertise. Thus, process mining could be applied to discover workflow patterns. Due to the combinatorics of component instances in rich domains such as bioinformatics, generalized patterns could be a relevant way of abstraction. Here, we propose an approach for mining workflow patterns, defined on the top of a domain ontology which categorizes workflow elements and their interactions. While original workflows are doubly-labelled DAGs, the underlying problem is transformed into a mining of generalized sequential patterns with links between their items. The proposed mining method traverses the ensuing pattern space using five refinement primitives that exploit the is-a links from the ontology. To assess the prediction power of the approach, we applied the generated patterns as templates in a recommendation platform to complete partial workflows under construction. The analyses of recommendations vs. actual content of a real-world dataset reveals that non trivial patterns can be found and further used to provide plausible recommendations with high accuracies (fMeasure >75+).","PeriodicalId":20728,"journal":{"name":"Proceedings of the Symposium on Applied Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87775512","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}

引用次数: 5

An effective and efficient hybrid scan matching algorithm for mobile object applications 一种有效的移动目标混合扫描匹配算法

Proceedings of the Symposium on Applied Computing Pub Date : 2017-04-03 DOI: 10.1145/3019612.3019720

K. Lenac, A. Cuzzocrea, E. Mumolo

引用次数: 1