Conference: Workshop on Spectrum/Waveform-aware Wireless Security

会议：频谱/波形感知无线安全研讨会

• 批准号: 2317653
• 负责人: Yanchao Zhang
• 金额: $ 5万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2317653&HistoricalAwards=false
• 关键词: Conference; Workshop; Spectrum; Waveform; aware

Wireless communication has advanced significantly in recent decades, resulting in complex and heterogeneous networks in public, private, and defense sectors. However, the growth of wireless cyberspace has also led to an increase in security threats and actual attacks. As a result, research and development on wireless security have become a focus across academic, government, and industry sectors. Proactive and autonomous defenses have emerged as promising countermeasures, but research in extremely complex wireless networks and spectrum access security remains under-explored. The workshop’s novelty is its aim to fill the research gap by providing a vibrant forum for multi-disciplinary leading researchers and practitioners to discuss critical cyber threats facing complex wireless systems and spectrum security and to propose countermeasures leveraging new concepts such as enhanced wireless situational awareness. The workshop's broader significance and importance lie in its potential to help the research community better understand the need for securing wireless communications and spectrum access, and to propose proactive and autonomous defenses in wireless networks operating in challenging environments or even contested space for DoD applications.The workshop's technical sessions are organized around different aspects of leveraging software-defined radios (SDRs) for spectrum/waveform-aware wireless security designs. The progress in SDR technology and the rise of collaborative and opportunistic access to the limited radio frequency (RF) spectrum have opened opportunities for both wireless system defenders and attackers. Attackers can exploit SDR devices to devise optimal attack strategies, while defenders will try best to identify attacked spectrum bands and adversarial waveforms to secure subsequent transmissions. Both sides can harness recent advancements in artificial intelligence (AI) and machine learning (ML) to intensify the battle in the intricate wireless cyberspace. The workshop will be attended by renowned researchers and practitioners from academia, industry, and government agencies, spanning various fields such as cybersecurity, wireless communications and networking, information theory, IoT systems, AI and machine learning, communication software-hardware co-design, and fog/edge computing. The workshop discussion will focus on the defense side on being aware of future sophisticate attacks.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.

近几十年来，无线通信取得了显著进展，在公共、私人和国防部门产生了复杂和异构的网络。然而，无线网络空间的发展也导致了安全威胁和实际攻击的增加。因此，无线安全的研究和开发已经成为学术界、政府和工业界关注的焦点。主动和自主防御已成为有希望的对策，但对极其复杂的无线网络和频谱接入安全的研究仍未得到充分探索。研讨会的新颖之处在于，它的目的是通过为多学科领先的研究人员和实践者提供一个充满活力的论坛来填补研究空白，讨论复杂无线系统和频谱安全面临的关键网络威胁，并利用增强无线态势感知等新概念提出对策。该研讨会的广泛意义和重要性在于，它有可能帮助研究界更好地理解保护无线通信和频谱接入的需求，并为国防部应用在具有挑战性的环境甚至有争议的空间中运行的无线网络提出主动和自主防御。研讨会的技术会议围绕利用软件定义无线电（sdr）进行频谱/波形感知无线安全设计的不同方面进行组织。SDR技术的进步以及对有限射频（RF）频谱的协作和机会性访问的兴起为无线系统防御者和攻击者提供了机会。攻击者可以利用SDR设备设计最佳攻击策略，而防御者则会尽最大努力识别被攻击的频段和对抗波形，以确保后续传输的安全。双方都可以利用人工智能（AI）和机器学习（ML）的最新进展，在错综复杂的无线网络空间中加剧战斗。研讨会将有来自学术界、工业界和政府机构的知名研究人员和从业者参加，他们涵盖了网络安全、无线通信和网络、信息理论、物联网系统、人工智能和机器学习、通信软硬件协同设计和雾/边缘计算等各个领域。研讨会讨论将集中在防御方面，以了解未来的复杂攻击。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。