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，无线通信取得了显着的进步，导致公共、私营和国防部门的网络变得复杂和异构，然而，无线网络空间的增长也导致了安全威胁和实际攻击的增加。无线安全的发展已成为学术界、政府和工业部门的关注焦点，主动防御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访问安全的研究仍未得到充分探索。填补研究空白为多学科领先研究人员和从业人员提供一个充满活力的论坛，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。该研讨会的更广泛意义和重要性在于其提供帮助的潜力。研究界更好地理解了保护无线通信和频谱访问的必要性，并提出了在具有挑战性的环境甚至是国防部应用的竞争空间中运行的无线网络的主动和自主防御。研讨会的技术会议围绕利用软件的不同方面进行组织-定义的无线电用于频谱/波形感知无线安全设计的 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利用 SDR 的机会。设备来设计最佳的攻击策略，而防御者将尽力识别受攻击的频段和对抗波形，以确保后续传输的安全。这场研讨会将由来自学术界、工业界和政府机构的知名研究人员和从业者参加，涵盖网络安全、无线通信和网络、信息论、物联网系统、人工智能和机器学习等各个领域。 、通信软件-硬件协同设计以及雾/边缘计算。研讨会的讨论重点是防御方对未来复杂攻击的认识。该奖项反映了 NSF 的法定使命，并通过使用基金会的评估被认为值得支持。智力价值和更广泛的影响审查标准。