Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems最新文献_第5页

Kinesis: a security incident response and prevention system for wireless sensor networks Kinesis:无线传感器网络安全事件响应和预防系统

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668351

Salmin Sultana, Daniele Midi, E. Bertino

{"title":"Kinesis: a security incident response and prevention system for wireless sensor networks","authors":"Salmin Sultana, Daniele Midi, E. Bertino","doi":"10.1145/2668332.2668351","DOIUrl":"https://doi.org/10.1145/2668332.2668351","url":null,"abstract":"This paper presents Kinesis, a security incident response and prevention system for wireless sensor networks, designed to keep the network functional despite anomalies or attacks and to recover from attacks without significant interruption. Due to the deployment of sensor networks in various critical infrastructures, the applications often impose stringent requirements on data reliability and service availability. Given the failure- and attack-prone nature of sensor networks, it is a pressing concern to enable the sensor networks provide continuous and unobtrusive services. Kinesis is quick and effective in response to incidents, distributed in nature, and dynamic in selecting response actions based on the context. It is lightweight in terms of response policy specification, and communication and energy overhead. A per-node single timer based distributed strategy to select the most effective response executor in a neighborhood makes the system simple and scalable, while achieving proper load distribution and redundant action optimization. We implement Kinesis in TinyOS and measure its performance for various application and network layer incidents. Extensive TOSSIM simulations and testbed experiments show that Kinesis successfully counteracts anomalies/attacks and behaves consistently under various attack scenarios and rates.","PeriodicalId":223777,"journal":{"name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130491709","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: 24

iLocScan: harnessing multipath for simultaneous indoor source localization and space scanning iLocScan:利用多路径同时进行室内源定位和空间扫描

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668345

Chi Zhang, Feng Li, Jun Luo, Ying He

{"title":"iLocScan: harnessing multipath for simultaneous indoor source localization and space scanning","authors":"Chi Zhang, Feng Li, Jun Luo, Ying He","doi":"10.1145/2668332.2668345","DOIUrl":"https://doi.org/10.1145/2668332.2668345","url":null,"abstract":"Whereas a few physical layer techniques have been proposed to locate a signal source indoors, they all deem multipath a \"curse\" and hence take great efforts to cope with it. Consequently, each sensor only obtains the information about the direct path; this necessitates a networked sensing system (hence higher system complexity and deployment cost) with at least three sensors to actually locate a source. In this paper, we deem multipath a \"bless\" and thus innovatively exploit the power of it. Essentially, with minor knowledge of the geometry of an indoor space, each signal path may potentially contribute a new piece of information to the location of its source. As a result, it is possible to locate the source with only one hand-held device. At the same time, the extra information provided by multipath can help to at least partially reconstruct the geometry of the indoor space, which enables a floor plan generation process missing in most of the indoor localization systems. To demonstrate these ideas, we implement a USRP-based radio sensor prototype named iLocScan; it can simultaneously scan an indoor space (hence generate a plan for it) and position the signal source in it. Through iLocScan, we mainly aim to showcase the feasibility of harnessing multipath in assisting indoor localization, rather than to rival existing proposals in terms of localization accuracy. Nevertheless, our experiments show that iLocScan offers satisfactory results on both source localization and space scanning.","PeriodicalId":223777,"journal":{"name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","volume":"72 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134543960","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: 50

Robust time synchronization in wireless sensor networks using real time clock 基于实时时钟的无线传感器网络鲁棒时间同步

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668365

Hessam Mohammadmoradi, O. Gnawali, Nir Rattner, A. Terzis, A. Szalay

引用次数: 3

Ravel a framework for embedded-gateway-cloud applications 为嵌入式网关云应用程序提供一个框架

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668356

Laurynas Riliskis, P. Levis

引用次数: 1

From rateless to distanceless: enabling sparse sensor network deployment in large areas 从无速率到无距离:实现大面积稀疏传感器网络部署

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668372

Wan Du, Zhenjiang Li, J. C. Liando, Mo Li

引用次数: 3

Facilitating continued run of sensor data analytics services using user driven proactive memory reclamation scheme 使用用户驱动的主动内存回收方案，促进传感器数据分析服务的持续运行

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668362

Swarnava Dey, P. Datta, A. Mukherjee, H. Paul, A. Basu

{"title":"Facilitating continued run of sensor data analytics services using user driven proactive memory reclamation scheme","authors":"Swarnava Dey, P. Datta, A. Mukherjee, H. Paul, A. Basu","doi":"10.1145/2668332.2668362","DOIUrl":"https://doi.org/10.1145/2668332.2668362","url":null,"abstract":"Smartphones are currently being used to develop diverse range of applications (apps) involving sensors. These apps generally acquire and analyze sensor data and are usually implemented as background services. The importance values of Android processes are in a hierarchy of foreground, visible, background etc. in decreasing order of importance. Whenever a new process arrives, it may necessitate removal of old and less important processes for reclaiming memory. Current smartphones do not provide any options through which user's idea of priority can override that of the system defaults. In this work we present an implementation that enables the user to obtain alerts on system load and recommendations to proactively kill a set of processes to reclaim system memory. This enables user selected background process to be spared from the standard android policy of process termination, in lieu of foreground apps, relatively unimportant from user perspective, during that period. We show that manual reclaiming of memory based on recommendations from our app, reduces the automatic killing and measurement lag experienced by a sensor analytics app under test. This work is redundant if processing power and main memory of a smartphone is always surplus than required for its normal usage.","PeriodicalId":223777,"journal":{"name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130385056","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

DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones DSP。Ear:利用协处理器支持智能手机上的连续音频感应

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-09-10 DOI: 10.1145/2668332.2668349

Petko Georgiev, N. Lane, Kiran Rachuri, C. Mascolo

{"title":"DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones","authors":"Petko Georgiev, N. Lane, Kiran Rachuri, C. Mascolo","doi":"10.1145/2668332.2668349","DOIUrl":"https://doi.org/10.1145/2668332.2668349","url":null,"abstract":"The rapidly growing adoption of sensor-enabled smartphones has greatly fueled the proliferation of applications that use phone sensors to monitor user behavior. A central sensor among these is the microphone which enables, for instance, the detection of valence in speech, or the identification of speakers. Deploying multiple of these applications on a mobile device to continuously monitor the audio environment allows for the acquisition of a diverse range of sound-related contextual inferences. However, the cumulative processing burden critically impacts the phone battery. To address this problem, we propose DSP.Ear -- an integrated sensing system that takes advantage of the latest low-power DSP co-processor technology in commodity mobile devices to enable the continuous and simultaneous operation of multiple established algorithms that perform complex audio inferences. The system extracts emotions from voice, estimates the number of people in a room, identifies the speakers, and detects commonly found ambient sounds, while critically incurring little overhead to the device battery. This is achieved through a series of pipeline optimizations that allow the computation to remain largely on the DSP. Through detailed evaluation of our prototype implementation we show that, by exploiting a smartphone's co-processor, DSP.Ear achieves a 3 to 7 times increase in the battery lifetime compared to a solution that uses only the phone's main processor. In addition, DSP.Ear is 2 to 3 times more power efficient than a naïve DSP solution without optimizations. We further analyze a large-scale dataset from 1320 Android users to show that in about 80-90% of the daily usage instances DSP.Ear is able to sustain a full day of operation (even in the presence of other smartphone workloads) with a single battery charge.","PeriodicalId":223777,"journal":{"name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123128372","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: 59

Mining users' significant driving routes with low-power sensors 利用低功耗传感器挖掘用户重要行车路线

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-09-08 DOI: 10.1145/2668332.2668348

S. Nawaz, C. Mascolo

{"title":"Mining users' significant driving routes with low-power sensors","authors":"S. Nawaz, C. Mascolo","doi":"10.1145/2668332.2668348","DOIUrl":"https://doi.org/10.1145/2668332.2668348","url":null,"abstract":"While there is significant work on sensing and recognition of significant places for users, little attention has been given to users' significant routes. Recognizing these routine journeys, can open doors for the development of novel applications, like personalized travel alerts, and enhancement of user's travel experience. However, the high energy consumption of traditional location sensing technologies, such as GPS or WiFi based localization, is a barrier to passive and ubiquitous route sensing through smartphones. In this paper, we present a passive route sensing framework that continuously monitors a vehicle user solely through a phone's gyroscope and accelerometer. This approach can differentiate and recognize various routes taken by the user by time warping angular speeds experienced by the phone while in transit and is independent of phone orientation and location within the vehicle, small detours and traffic conditions. We compare the route learning and recognition capabilities of this approach with GPS trajectory analysis and show that it achieves similar performance. Moreover, with an embedded co-processor, common to most new generation phones, it achieves energy savings of an order of magnitude over the GPS sensor.","PeriodicalId":223777,"journal":{"name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131497889","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: 70

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems 第十二届美国计算机学会嵌入式网络传感器系统会议论文集

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 1900-01-01 DOI: 10.1145/2668332

Ákos Lédecz, P. Dutta, Chenyang Lu

引用次数: 3