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CPS: Synergy: Collaborative Research: Support for Security and Safety of Programmable IoT Systems

CPS: Synergy: Collaborative Research: Support for Security and Safety of Programmable IoT Systems
CPS:协同:协作研究:支持可编程物联网系统的安全性
批准号:
1646305
负责人:
Darko Marinov
金额:
$35.21万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-01-01 至 2020-12-31

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中文摘要
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英文摘要
This work examines how to get safety and security in Internet of Things (IoT) systems where multiple devices (things), each designed in isolation from others, are brought together to form a networked system, controlled via one or more software applications ("apps"). "Things" in an IoT environment can include simple devices such as switches, lightbulbs, smart locks, thermostats, and safety alarms as well as complex systems such as appliances, smartphones, and cars. Software IoT "apps" can monitor and control multiple devices in homes, cars, cities, and businesses, providing significant benefits such as energy efficiency, security, safety, and user convenience. Unfortunately, programmable IoT systems also introduce new risks, including enabling remote control by hackers of devices in smart homes, cars, and cities, via buggy IoT apps. Testing IoT apps to remove bugs is currently challenging due to a variety of physical devices with which such apps may interact, including devices that were not even available during app development. The proposed work will help develop techniques for testing IoT apps efficiently and for enforcing safety and security constraints on their run-time behavior.More specifically, the proposed work is centered around three technical thrusts: 1) creating virtual device models to help efficiently test IoT apps systematically without knowing the precise details of physical devices that the apps will control in advance; 2) automating test development for an IoT app to check safety and security specifications against a flexible set of devices; and 3) providing support for enforcement of specifications at run-time for security and safety assertions. The work includes extensive experimentation and evaluation using diverse devices and will represent a significant advance in hardening this important spaces
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
Evaluating Regression Test Selection Opportunities in a Very Large Open-Source Ecosystem
评估非常大的开源生态系统中的回归测试选择机会
DOI: 10.1109/issre.2018.00022
发表时间: 2018
期刊: 29th International Symposium on Software Reliability Engineering (ISSRE
影响因子: --
作者: [Gyori, Alex, Legunsen, Owolabi, Hariri, Farah, Marinov, Darko]
通讯作者: Marinov, Darko
DOI: 10.1109/issre5003.2020.00044
发表时间: 2018-07
期刊: 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE)
影响因子: --
作者: [Kaiyuan Wang;Allison Sullivan;D. Marinov;S. Khurshid]
通讯作者: Kaiyuan Wang;Allison Sullivan;D. Marinov;S. Khurshid
A large-scale study of test coverage evolution
测试覆盖率演变的大规模研究
DOI: 10.1145/3238147.3238183
发表时间: 2018
期刊: 33rd IEEE/ACM Conference on Automated Software Engineering
影响因子: --
作者: [Hilton, Michael, Bell, Jonathan, Marinov, Darko]
通讯作者: Marinov, Darko
Refining interprocedural change-impact analysis using equivalence relations
使用等价关系细化过程间变更影响分析
DOI: 10.1145/3092703.3092719
发表时间: 2017
期刊: Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis - ISSTA 2017
影响因子: --
作者: [Gyori, Alex, Lahiri, Shuvendu K., Partush, Nimrod]
通讯作者: Partush, Nimrod
8
    SHF: Medium: Collaborative Research: Enhancing Continuous Integration Testing for the Open-Source Ecosystem
    EAGER: USBRCCR: Collaborative: Lightweight Policy Enforcement of Information Flows in IoT Infrastructures
    SHF: Medium: Collaborative Research: Improved Performance Testing and Debugging
    SHF: Small: Revisiting Assumptions of Regression Testing
    海外基金