2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)最新文献_第5页

Consistency or latency? A quantitative analysis of replication systems based on replicated state machines 一致性还是延迟?基于复制状态机的复制系统的定量分析

2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2013-06-24 DOI: 10.1109/DSN.2013.6575361

Xu Wang, Hailong Sun, Ting Deng, J. Huai

引用次数: 7

Design of event-based Intrusion Detection System on OpenFlow Network OpenFlow网络上基于事件的入侵检测系统设计

2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2013-06-24 DOI: 10.1109/DSN.2013.6575335

Yung-Li Hu, Wei-Bing Su, Li-ying Wu, Yennun Huang, S. Kuo

引用次数: 20

Detecting malicious landing pages in Malware Distribution Networks 检测恶意软件分发网络中的恶意着陆页

2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2013-06-24 DOI: 10.1109/DSN.2013.6575316

G. Wang, J. W. Stokes, Cormac Herley, D. Felstead

{"title":"Detecting malicious landing pages in Malware Distribution Networks","authors":"G. Wang, J. W. Stokes, Cormac Herley, D. Felstead","doi":"10.1109/DSN.2013.6575316","DOIUrl":"https://doi.org/10.1109/DSN.2013.6575316","url":null,"abstract":"Drive-by download attacks attempt to compromise a victim's computer through browser vulnerabilities. Often they are launched from Malware Distribution Networks (MDNs) consisting of landing pages to attract traffic, intermediate redirection servers, and exploit servers which attempt the compromise. In this paper, we present a novel approach to discovering the landing pages that lead to drive-by downloads. Starting from partial knowledge of a given collection of MDNs we identify the malicious content on their landing pages using multiclass feature selection. We then query the webpage cache of a commercial search engine to identify landing pages containing the same or similar content. In this way we are able to identify previously unknown landing pages belonging to already identified MDNs, which allows us to expand our understanding of the MDN. We explore using both a rule-based and classifier approach to identifying potentially malicious landing pages. We build both systems and independently verify using a high-interaction honeypot that the newly identified landing pages indeed attempt drive-by downloads. For the rule-based system 57% of the landing pages predicted as malicious are confirmed, and this success rate remains constant in two large trials spaced five months apart. This extends the known footprint of the MDNs studied by 17%. The classifier-based system is less successful, and we explore possible reasons.","PeriodicalId":163407,"journal":{"name":"2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115399858","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: 34

Dependability models for designing disaster tolerant cloud computing systems 设计容灾云计算系统的可靠性模型

2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2013-06-24 DOI: 10.1109/DSN.2013.6575323

B. Silva, P. Maciel, E. Tavares, A. Zimmermann

引用次数: 34

SIDE: Isolated and efficient execution of unmodified device drivers 方:隔离和有效的执行未修改的设备驱动程序

2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2013-06-24 DOI: 10.1109/DSN.2013.6575348

Yifeng Sun, T. Chiueh

引用次数: 16

Implementing the ADVISE security modeling formalism in Möbius 在Möbius中实现ADVISE安全建模形式

2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2013-06-24 DOI: 10.1109/DSN.2013.6575362

Michael D. Ford, K. Keefe, E. LeMay, W. Sanders, Carol Muehrcke

引用次数: 39

WirelessHART modeling and performance evaluation 无线shart建模和性能评估

2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2013-06-24 DOI: 10.1109/DSN.2013.6575358

Anne Remke, Xian-You Wu

引用次数: 10

Crossing the threshold: Detecting network malfeasance via sequential hypothesis testing 跨越阈值:通过序贯假设检验检测网络不法行为

2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2013-06-24 DOI: 10.1109/DSN.2013.6575364

Srinivas Krishnan, Teryl Taylor, F. Monrose, J. McHugh

引用次数: 31

CloudPD: Problem determination and diagnosis in shared dynamic clouds CloudPD:共享动态云中的问题确定和诊断

2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2013-06-24 DOI: 10.1109/DSN.2013.6575298

Bikash Sharma, P. Jayachandran, Akshat Verma, C. Das

{"title":"CloudPD: Problem determination and diagnosis in shared dynamic clouds","authors":"Bikash Sharma, P. Jayachandran, Akshat Verma, C. Das","doi":"10.1109/DSN.2013.6575298","DOIUrl":"https://doi.org/10.1109/DSN.2013.6575298","url":null,"abstract":"In this work, we address problem determination in virtualized clouds. We show that high dynamism, resource sharing, frequent reconfiguration, high propensity to faults and automated management introduce significant new challenges towards fault diagnosis in clouds. Towards this, we propose CloudPD, a fault management framework for clouds. CloudPD leverages (i) a canonical representation of the operating environment to quantify the impact of sharing; (ii) an online learning process to tackle dynamism; (iii) a correlation-based performance models for higher detection accuracy; and (iv) an integrated end-to-end feedback loop to synergize with a cloud management ecosystem. Using a prototype implementation with cloud representative batch and transactional workloads like Hadoop, Olio and RUBiS, it is shown that CloudPD detects and diagnoses faults with low false positives (<; 16%) and high accuracy of 88%, 83% and 83%, respectively. In an enterprise trace-based case study, CloudPD diagnosed anomalies within 30 seconds and with an accuracy of 77%, demonstrating its effectiveness in real-life operations.","PeriodicalId":163407,"journal":{"name":"2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131827","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: 74

An algorithmic approach to error localization and partial recomputation for low-overhead fault tolerance 基于低开销容错的错误定位和部分重计算算法

2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2013-06-24 DOI: 10.1109/DSN.2013.6575309

Joseph Sloan, Rakesh Kumar, G. Bronevetsky

{"title":"An algorithmic approach to error localization and partial recomputation for low-overhead fault tolerance","authors":"Joseph Sloan, Rakesh Kumar, G. Bronevetsky","doi":"10.1109/DSN.2013.6575309","DOIUrl":"https://doi.org/10.1109/DSN.2013.6575309","url":null,"abstract":"The increasing size and complexity of massively parallel systems (e.g. HPC systems) is making it increasingly likely that individual circuits will produce erroneous results. For this reason, novel fault tolerance approaches are increasingly needed. Prior fault tolerance approaches often rely on checkpoint-rollback based schemes. Unfortunately, such schemes are primarily limited to rare error event scenarios as the overheads of such schemes become prohibitive if faults are common. In this paper, we propose a novel approach for algorithmic correction of faulty application outputs. The key insight for this approach is that even under high error scenarios, even if the result of an algorithm is erroneous, most of it is correct. Instead of simply rolling back to the most recent checkpoint and repeating the entire segment of computation, our novel resilience approach uses algorithmic error localization and partial recomputation to efficiently correct the corrupted results. We evaluate our approach in the specific algorithmic scenario of linear algebra operations, focusing on matrix-vector multiplication (MVM) and iterative linear solvers. We develop a novel technique for localizing errors in MVM and show how to achieve partial recomputation within this algorithm, and demonstrate that this approach both improves the performance of the Conjugate Gradient solver in high error scenarios by 3x-4x and increases the probability that it completes successfully by up to 60% with parallel experiments up to 100 nodes.","PeriodicalId":163407,"journal":{"name":"2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114824444","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: 48