Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing
Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing
复制标题
协作频谱感知中对抗性机器学习攻击的低成本影响限制防御
DOI：
10.1145/3468218.3469051
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Xu, Jie
中科院分区：
文献类型：
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作者：
Luo, Zhengping;Zhao, Shangqing;Duan, Rui;Lu, Zhuo;Sagduyu, Yalin E.;Xu, Jie
协作频谱感知旨在提高各个传感器频谱感知的可靠性，以更好地利用稀缺频段，从而为次要频谱用户在主要用户空闲时传输信号提供了可行性。然而，协作频谱感知存在各种漏洞，特别是在应用机器学习技术时。影响限制防御是当少数频谱感知设备被智能攻击者控制发送错误感知结果时，提出的一种防御数据融合中心的方法。尽管如此，这种防御仍面临计算复杂性问题。在本文中，我们提出了一种低成本版本的影响限制防御，并证明它可以显着降低计算成本（时间成本减少到原始防御的 20% 以下），同时仍然保持相同水平的防御性能。
Cooperative spectrum sensing aims to improve the reliability of spectrum sensing by individual sensors for better utilization of the scarce spectrum bands, which gives the feasibility for secondary spectrum users to transmit their signals when primary users remain idle. However, there are various vulnerabilities experienced in cooperative spectrum sensing, especially when machine learning techniques are applied. The influence-limiting defense is proposed as a method to defend the data fusion center when a small number of spectrum sensing devices is controlled by an intelligent attacker to send erroneous sensing results. Nonetheless, this defense suffers from a computational complexity problem. In this paper, we propose a low-cost version of the influence-limiting defense and demonstrate that it can decrease the computation cost significantly (the time cost is reduced to less than 20% of the original defense) while still maintaining the same level of defense performance.
DOI：
10.1109/glocom.2012.6503888
发表时间：
2012-12
期刊：
2012 IEEE Global Communications Conference (GLOBECOM)
影响因子：
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作者：
Changlong Chen;Min Song;C. Xin;Mansoor Alam
通讯作者：
Changlong Chen;Min Song;C. Xin;Mansoor Alam
通过动态信任保护认知无线电网络，防止频谱感知数据伪造
DOI：
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发表时间：
2014
期刊：
IEEE Military Communications Conference
影响因子：
--
作者：
Y. Sagduyu
通讯作者：
Y. Sagduyu
对抗性深度学习视角下的物联网网络安全
DOI：
--
发表时间：
2019
期刊：
Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks
影响因子：
--
作者：
Y. Sagduyu;Yi Shi;T. Erpek
通讯作者：
T. Erpek