Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications最新文献_第2页

Decelerating Suspend and Resume in Operating Systems 在操作系统中减速挂起和恢复

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications Pub Date : 2017-02-21 DOI: 10.1145/3032970.3032975

Shuang Zhai, Liwei Guo, Xiangyu Li, F. Lin

引用次数: 9

ThruMapper: Through-Wall Building Tomography with a Single Mapping Robot ThruMapper:使用单个测绘机器人的穿墙建筑断层扫描

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications Pub Date : 2017-02-21 DOI: 10.1145/3032970.3032973

Bo Tan, K. Chetty, K. Jamieson

引用次数: 13

Blood Count on a Smartphone Microscope: Challenges 智能手机显微镜上的血液计数:挑战

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications Pub Date : 2017-02-21 DOI: 10.1145/3032970.3032986

U. Moravapalle, A. Deshpande, Ashish Kapoor, R. Ramjee, Priya Ravi

引用次数: 11

Understanding Sensor Notifications on Mobile Devices 理解移动设备上的传感器通知

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications Pub Date : 2017-02-21 DOI: 10.1145/3032970.3032978

Zongheng Ma, S. Mirzamohammadi, A. A. Sani

引用次数: 3

PrIA: A Private Intelligent Assistant 私人智能助理

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications Pub Date : 2017-02-21 DOI: 10.1145/3032970.3032988

Shashank Jain, V. Tiwari, A. Balasubramanian, Niranjan Balasubramanian, Supriyo Chakraborty

{"title":"PrIA: A Private Intelligent Assistant","authors":"Shashank Jain, V. Tiwari, A. Balasubramanian, Niranjan Balasubramanian, Supriyo Chakraborty","doi":"10.1145/3032970.3032988","DOIUrl":"https://doi.org/10.1145/3032970.3032988","url":null,"abstract":"Personalized services such as news recommendations are becoming an integral part of our digital lives. The problem is that they extract a steep cost in terms of privacy. The service providers collect and analyze user's personal data to provide the service, but can infer sensitive information about the user in the process. In this work we ask the question \"How can we provide personalized news recommendation without sharing sensitive data with the provider?\" We propose a local private intelligence assistance framework (PrIA), which collects user data and builds a profile about the user and provides recommendations, all on the user's personal device. It decouples aggregation and personalization: it uses the existing aggregation services on the cloud to obtain candidate articles but makes the personalized recommendations locally. Our proof-of-concept implementation and small scale user study shows the feasibility of a local news recommendation system. In building a private profile, PrIA avoids sharing sensitive information with the cloud-based recommendation service. However, the trade-off is that unlike cloud-based services, PrIA cannot leverage collective knowledge from large number of users. We quantify this trade-off by comparing PrIA with Google's cloud-based recommendation service. We find that the average precision of PrIA's recommendation is only 14% lower than that of Google's service. Rather than choose between privacy or personalization, this result motivates further study of systems that can provide both with acceptable trade-offs.","PeriodicalId":309322,"journal":{"name":"Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126985137","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: 6

Extending Cell Tower Coverage through Drones 通过无人机扩展蜂窝塔的覆盖范围

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications Pub Date : 2017-02-21 DOI: 10.1145/3032970.3032984

Ashutosh Dhekne, Mahanth K. Gowda, Romit Roy Choudhury

{"title":"Extending Cell Tower Coverage through Drones","authors":"Ashutosh Dhekne, Mahanth K. Gowda, Romit Roy Choudhury","doi":"10.1145/3032970.3032984","DOIUrl":"https://doi.org/10.1145/3032970.3032984","url":null,"abstract":"This paper explores a future in which drones serve as extensions to cellular networks. Equipped with a WiFi interface and a (LTE/5G) backhaul link, we envision a drone to fly in and create a WiFi network in a desired region. Analogous to fire engines, these drones can offer on-demand network service, alleviating unpredictable problems such as sudden traffic hotspots, poor coverage, and natural disasters. While realizing such a vision would need various pieces to come together, we focus on the problem of \"drone placement\". We ask: when several scattered users demand cellular connectivity in a particular area, where should the drone hover so that the aggregate demands are optimally satisfied? This is essentially a search problem, i.e., the drone needs to determine a 3D location from which its SNR to all the clients is maximized. Given the unknown environmental conditions (such as multipath, wireless shadows, foliage, and absorption), it is not trivial to predict the best hovering location. We explore the possibility of using RF ray tracing as a hint to narrow down the scope of search. Our key idea is to use 3D models from Google Earth to roughly model the terrain of the region, and then simulate how signals would scatter from the drone to various clients. While such simulations offer coarse-grained results, we find that they can still be valuable in broadly guiding the drone in the right direction. Once the drone has narrowed down the 3D search space, it can then physically move to quickly select the best hovering location. Measurement results from a WiFi mounted drone, communicating with 7 clients scattered in the UIUC campus, are encouraging. Our early prototype, DroneNet, reports 44% throughput gain with only 10% measurement overhead compared to a full scan of the entire region.","PeriodicalId":309322,"journal":{"name":"Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115791743","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: 27

Session details: Reimagining Virtual Reality 会议细节:重新想象虚拟现实

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications Pub Date : 2017-02-21 DOI: 10.1145/3257164

David Chu

引用次数: 0

A Practical GPS Location Spoofing Attack in Road Navigation Scenario 一种实用的道路导航GPS位置欺骗攻击

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications Pub Date : 2017-02-21 DOI: 10.1145/3032970.3032983

K. Zeng, Yuanchao Shu, Shinan Liu, Yanzhi Dou, Yaling Yang

引用次数: 72

Augmented Vehicular Reality: Enabling Extended Vision for Future Vehicles 增强车辆现实:为未来车辆提供扩展视野

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications Pub Date : 2017-02-21 DOI: 10.1145/3032970.3032976

Hang Qiu, Fawad Ahmad, R. Govindan, M. Gruteser, F. Bai, Gorkem Kar

引用次数: 45

Convoy: Physical Context Verification for Vehicle Platoon Admission 车队:车辆排入场的物理背景验证

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications Pub Date : 2017-02-21 DOI: 10.1145/3032970.3032987

Jun Han, M. Harishankar, Xiao Wang, Albert Jin Chung, P. Tague

{"title":"Convoy: Physical Context Verification for Vehicle Platoon Admission","authors":"Jun Han, M. Harishankar, Xiao Wang, Albert Jin Chung, P. Tague","doi":"10.1145/3032970.3032987","DOIUrl":"https://doi.org/10.1145/3032970.3032987","url":null,"abstract":"Truck platooning is emerging as a promising solution with many economic incentives. However, securely admitting a new vehicle into a platoon is an extremely important yet difficult task. There is no adequate method today for verifying physical arrangements of vehicles within a platoon formation. Specifically, we address the problem of a platoon ghost attack wherein an attacker spoofs presence within a platoon to gain admission and subsequently execute malicious attacks. To address such concerns, we present Convoy, a novel autonomous platoon admission scheme which binds the vehicles' digital certificates to their physical context (i.e., locality). Convoy exploits the findings that vehicles traveling together experience similar context to prove to each other over time that they are co-present. Specifically, they experience similar road (e.g., bumps and cracks) and traffic (e.g., acceleration and steering) conditions. Our approach is based on the ability for vehicles to capture this context, generate fingerprints to establish shared keys, and later bind these symmetric keys to their public keys. We design and implement the Convoy protocol and evaluate it with real-world driving data. Our implementation demonstrates that vehicles traveling in adjacent lanes can be sufficiently distinguished by their context and this can be utilized to thwart platoon ghost attacks and similar misbehavior.","PeriodicalId":309322,"journal":{"name":"Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131864881","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: 39