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CAREER: Proactive Techniques for Enhancing Security and Resilience of Mobile Communication Infrastructure

CAREER: Proactive Techniques for Enhancing Security and Resilience of Mobile Communication Infrastructure
职业:增强移动通信基础设施安全性和弹性的主动技术
批准号:
1943079
负责人:
Guanhua Yan
金额:
$49.89万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-07-01 至 2025-06-30

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中文摘要
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英文摘要
The 5G networks currently being rolled out globally are expected to revolutionize a wide spectrum of application domains, including, but not limited to, automotive, healthcare, smart cities, factories, and first responders. This project seeks to enhance the security and resilience of the next-generation mobile communication networks against threats that may cause infrastructure-level damages. First, the ease of distributing mobile applications from marketplaces (e.g., Google Play and Apple App Store) and the growing popularity of IoT (Internet-of-Things) devices have made it possible to construct large botnets capable of attacking critical infrastructures. Second, both insider threats (e.g., disgruntled former employees) and unintentional human errors (e.g., network misconfiguration) can cause widespread cellular service failures. Third, virtualization of 5G core network services makes them attractive targets for APT (Advanced Persistent Threat) attackers who covet sensitive user data, such as mobile users' account information, locations, and private keys. The successful execution of this project will not only produce tools that can protect the Nation's mobile communication infrastructures but also train students from diverse backgrounds for jobs in critical infrastructure protection.The main goal of this CAREER project is to develop three-layered, proactive defenses for the next-generation mobile communication infrastructures. The first layer of defense will provide infrastructure-level accountability support to deter potential attackers because their attack origins can be traced from observable network events with high accuracy. The second layer will use real-time machine learning techniques enhanced with knowledge of communication protocol specifications to identify anomalous activities. These anomaly detection methods will be designed with robustness against adversarial manipulations such as model poisoning and evasion attacks. The third layer of defense will focus on diverting attackers who have successfully penetrated into the mobile communication infrastructures to deceptive environments, where their attack capabilities, intentions, and origins can be revealed. This CAREER project will engage 5G infrastructure stakeholders in improving the security and resilience of their mobile network operations. Its research activities will involve undergraduates and under-represented minority students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
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科研奖励(0)
会议论文
VET5G: A Virtual End-to-End Testbed for 5G Network Security Experimentation
VET5G:用于 5G 网络安全实验的虚拟端到端测试平台
DOI: 10.1145/3546096.3546111
发表时间: 2022
期刊: The 15th Workshop on Cyber Security Experimentation and Test
影响因子: --
作者: [Wen, Zhixin, Pacherkar, Harsh Sanjay, Yan, Guanhua]
通讯作者: Yan, Guanhua
DOI: 10.1109/jiot.2022.3182589
发表时间: 2022-11
期刊: IEEE Internet of Things Journal
影响因子: 10.6
作者: [Zhan Shu;Guanhua Yan]
通讯作者: Zhan Shu;Guanhua Yan
Education DCL: EAGER: Building a Capture-The-Flag Platform for 5G Network Security
  • 批准号:
    2335369
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2023
  • 负责人:
    Guanhua Yan
  • 依托单位:
TWC: Small: A Moving Target Approach to Enhancing Machine Learning-Based Malware Defense
  • 批准号:
    1618631
  • 项目类别:
    Standard Grant
  • 资助金额:
    $34.99万
  • 财政年份:
    2016
  • 负责人:
    Guanhua Yan
  • 依托单位:
海外基金