Proceedings of the ACM International Conference on Computing Frontiers最新文献_第5页

Security analysis and exploitation of arduino devices in the internet of things arduino设备在物联网中的安全性分析与开发

Proceedings of the ACM International Conference on Computing Frontiers Pub Date : 2016-05-16 DOI: 10.1145/2903150.2911708

Carlos Alberca, S. Pastrana, Guillermo Suarez-Tangil, P. Palmieri

引用次数: 16

Automated parsing and interpretation of identity leaks 自动解析和解释身份泄漏

Proceedings of the ACM International Conference on Computing Frontiers Pub Date : 2016-05-16 DOI: 10.1145/2903150.2903156

Hendrik Graupner, David Jaeger, Feng Cheng, C. Meinel

{"title":"Automated parsing and interpretation of identity leaks","authors":"Hendrik Graupner, David Jaeger, Feng Cheng, C. Meinel","doi":"10.1145/2903150.2903156","DOIUrl":"https://doi.org/10.1145/2903150.2903156","url":null,"abstract":"The relevance of identity data leaks on the Internet is more present than ever. Almost every month we read about leakage of databases with more than a million users in the news. Smaller but not less dangerous leaks happen even multiple times a day. The public availability of such leaked data is a major threat to the victims, but also creates the opportunity to learn not only about security of service providers but also the behavior of users when choosing passwords. Our goal is to analyze this data and generate knowledge that can be used to increase security awareness and security, respectively. This paper presents a novel approach to automatic analysis of a vast majority of bigger and smaller leaks. Our contribution is the concept and a prototype implementation of a parser, composed of a syntactic and a semantic module, and a data analyzer for identity leaks. In this context, we deal with the two major challenges of a huge amount of different formats and the recognition of leaks' unknown data types. Based on the data collected, this paper reveals how easy it is for criminals to collect lots of passwords, which are plain text or only weakly hashed.","PeriodicalId":226569,"journal":{"name":"Proceedings of the ACM International Conference on Computing Frontiers","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126344555","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: 9

Partial FPGA bitstream encryption enabling hardware DRM in mobile environments 部分FPGA比特流加密使硬件DRM在移动环境

Proceedings of the ACM International Conference on Computing Frontiers Pub Date : 2016-05-16 DOI: 10.1145/2903150.2911711

M. Barbareschi, A. Cilardo, A. Mazzeo

引用次数: 5

An in-memory based framework for scientific data analytics 一个基于内存的科学数据分析框架

Proceedings of the ACM International Conference on Computing Frontiers Pub Date : 2016-05-16 DOI: 10.1145/2903150.2911719

D. Elia, S. Fiore, Alessandro D'Anca, Cosimo Palazzo, Ian T Foster, Dean N. Williams, G. Aloisio

引用次数: 16

Decoding EEG and LFP signals using deep learning: heading TrueNorth 使用深度学习解码EEG和LFP信号:航向trunorth

Proceedings of the ACM International Conference on Computing Frontiers Pub Date : 2016-05-16 DOI: 10.1145/2903150.2903159

E. Nurse, B. Mashford, Antonio Jimeno-Yepes, Isabell Kiral-Kornek, S. Harrer, D. Freestone

引用次数: 87

Adaptable AES implementation with power-gating support

Proceedings of the ACM International Conference on Computing Frontiers Pub Date : 2016-05-16 DOI: 10.1145/2903150.2903488

S. Banik, A. Bogdanov, Tiziana Fanni, Carlo Sau, L. Raffo, F. Palumbo, F. Regazzoni

引用次数: 3

Large transfers for data analytics on shared wide-area networks 在共享广域网上进行数据分析的大传输

Proceedings of the ACM International Conference on Computing Frontiers Pub Date : 2016-05-16 DOI: 10.1145/2903150.2911718

Hamidreza Anvari, P. Lu

引用次数: 6

Integrated measurement and modeling for performance and power 集成测量和建模的性能和功率

Proceedings of the ACM International Conference on Computing Frontiers Pub Date : 2016-05-16 DOI: 10.1145/2903150.2903912

A. Hoisie

引用次数: 0

Mitigating sync overhead in single-level store systems 减少单级存储系统中的同步开销

Proceedings of the ACM International Conference on Computing Frontiers Pub Date : 2016-05-16 DOI: 10.1145/2903150.2903161

Yuanchao Xu, Hu Wan, Zeyi Hou, Keni Qiu

{"title":"Mitigating sync overhead in single-level store systems","authors":"Yuanchao Xu, Hu Wan, Zeyi Hou, Keni Qiu","doi":"10.1145/2903150.2903161","DOIUrl":"https://doi.org/10.1145/2903150.2903161","url":null,"abstract":"Emerging non-volatile memory technologies offer the durability of disk and the byte-addressability of DRAM, which makes it feasible to build up single-level store systems. However, due to extremely low latency of persistent writes to non-volatile memory, software stack accounts for the majority of the overall performance overhead, one of which comes from crash consistency guarantees. In order to let persistent data structures survive power failures or system crashes, some measures, such as write-ahead logging or copy-on-write, along with frequent cacheline flushes, must be taken to ensure the consistency of durable data, thereby incurring non-trivial sync overhead. In this paper, we propose two techniques to mitigate the sync overhead. First, we leverage write-optimized non-volatile memory to store log entries on chip instead of off chip, thereby eliminating sync overhead. Second, we present an adaptive caching mode policy in terms of data access patterns to eliminate unnecessary sync overhead. Evaluation results indicate that the two techniques help improve the overall performance from 5.88x to 6.77x compared to conventional transactional persistent memory.","PeriodicalId":226569,"journal":{"name":"Proceedings of the ACM International Conference on Computing Frontiers","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127382149","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: 0

Libra: an automated code generation and tuning framework for register-limited stencils on GPUs Libra:一个自动代码生成和调优框架，用于gpu上的寄存器限制模板

Proceedings of the ACM International Conference on Computing Frontiers Pub Date : 2016-05-16 DOI: 10.1145/2903150.2903158

Mengyao Jin, H. Fu, Zihong Lv, Guangwen Yang

{"title":"Libra: an automated code generation and tuning framework for register-limited stencils on GPUs","authors":"Mengyao Jin, H. Fu, Zihong Lv, Guangwen Yang","doi":"10.1145/2903150.2903158","DOIUrl":"https://doi.org/10.1145/2903150.2903158","url":null,"abstract":"Stencils account for a significant part in many scientific computing applications. Besides simple stencils which can be completed with a few arithmetic operations, there are also many register-limited stencils with hundreds or thousands of variables and operations. The massive registers required by these stencils largely limit the parallelism of the programs on current many-core architectures, and consequently degrade the overall performance. Based on the register usage, which is the major constraining factor for most register-limited stencils, we propose a DDG (data-dependency-graph) oriented code transformation approach to improve the performance of these stencils. This approach analyzes, reorders and transforms the original program on GPUs, and further explores for the best tradeoff between the computation amount and the parallelism degree. Based on our graphoriented code transformation approach, we further design and implement an automated code generation and tuning framework called Libra, to improve the productivity and performance simultaneously. We apply Libra to 5 widely used stencils, and experiment results show that these stencils achieve a speedup of 1.12~2.16X when compared with the original fairly-optimized implementations.","PeriodicalId":226569,"journal":{"name":"Proceedings of the ACM International Conference on Computing Frontiers","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124087798","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