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We present a Trojan (backdoor or trapdoor) attack that targets deep learning applications in wireless communications. A deep learning classifier is considered to classify wireless signals using raw (I/Q) samples as features and modulation…

网络与互联网体系结构 · 计算机科学 2019-10-25 Kemal Davaslioglu , Yalin E. Sagduyu

AI models are often regarded as valuable intellectual property due to the high cost of their development, the competitive advantage they provide, and the proprietary techniques involved in their creation. As a result, AI model stealing…

This report investigates the potential impact of a Trojan attack on power conversion circuits, specifically a switching signal attack designed to trigger a locking of the pulse width modulation (PWM) signal that goes to a power field-effect…

信号处理 · 电气工程与系统科学 2023-05-24 Jacob Sillman , Ajay Suresh

The threat of inserting hardware Trojans during the design, production, or in-field poses a danger for integrated circuits in real-world applications. A particular critical case of hardware Trojans is the malicious manipulation of…

密码学与安全 · 计算机科学 2019-10-04 Maik Ender , Pawel Swierczynski , Sebastian Wallat , Matthias Wilhelm , Paul Martin Knopp , Christof Paar

The use of third-party IP cores in implementing applications in FPGAs has given rise to the threat of malicious alterations through the insertion of hardware Trojans. To address this threat, it is important to predict the way hardware…

硬件体系结构 · 计算机科学 2020-04-06 Ash Luft , Mihai Sima , Michael McGuire

Quantum computing has demonstrated superior efficiency compared to classical computing. Quantum circuits are essential for implementing functions and achieving correct computational outcomes. Quantum circuit compilers, which translate…

量子物理 · 物理学 2025-02-14 Jayden John , Lakshman Golla , Qian Wang

Hardware Trojans have drawn the attention of academia, industry and government agencies. Effective detection mechanisms and countermeasures against such malicious designs can only be developed when there is a deep understanding of how…

密码学与安全 · 计算机科学 2019-10-03 Samaneh Ghandali , Thorben Moos , Amir Moradi , Christof Paar

Hardware Trojans are malicious modifications in digital designs that can be inserted by untrusted supply chain entities. Hardware Trojans can give rise to diverse attack vectors such as information leakage (e.g. MOLES Trojan) and…

密码学与安全 · 计算机科学 2025-02-21 Tanzim Mahfuz , Pravin Gaikwad , Tasneem Suha , Swarup Bhunia , Prabuddha Chakraborty

This paper discusses the possible introduction of hidden reliability defects during CMOS foundry fabrication processes that may lead to accelerated wearout of the devices. These hidden defects or hardware Trojans can be created by deviation…

硬件体系结构 · 计算机科学 2009-06-23 Y. Shiyanovskii , F. Wolff , C. Papachristou , D. Weyer , W. Clay

We unveil the existence of a vulnerability in Wi-Fi, which allows an adversary to remotely launch a Denial-of-Service (DoS) attack that propagates both in time and space. This vulnerability stems from a coupling effect induced by hidden…

网络与互联网体系结构 · 计算机科学 2018-03-20 Liangxiao Xin , David Starobinski , Guevara Noubir

In this work, for the first time, we tackle channel estimation design with pilots in the context of covert wireless communication. Specifically, we consider Rayleigh fading for the communication channel from a transmitter to a receiver and…

信息论 · 计算机科学 2019-08-02 Tingzhen Xu , Linlin Sun , Shihao Yan , Jinsong Hu , Feng Shu

Neural network controllers are increasingly deployed in robotic systems for tasks such as trajectory tracking and pose stabilization. However, their reliance on potentially untrusted training pipelines or supply chains introduces…

系统与控制 · 电气工程与系统科学 2026-02-06 Farbod Younesi , Walter Lucia , Amr Youssef

Many security techniques working at the physical layer need a correct channel state information (CSI) at the transmitter, especially when devices are equipped with multiple antennas. Therefore such techniques are vulnerable to pilot…

信息论 · 计算机科学 2016-09-09 Stefano Tomasin , Ingmar Land , Frédéric Gabry

This study investigates the vulnerabilities of autonomous navigation and landing systems in Urban Air Mobility (UAM) vehicles. Specifically, it focuses on Trojan attacks that target deep learning models, such as Convolutional Neural…

The pilot spoofing attack is considered as an active eavesdropping activity launched by an adversary during the reverse channel training phase. By transmitting the same pilot signal as the legitimate user, the pilot spoofing attack is able…

密码学与安全 · 计算机科学 2016-09-02 Xiaowen Tian , Ming Li , Qian Liu

A major security threat to an integrated circuit (IC) design is the Hardware Trojan attack which is a malicious modification of the design. Previously several papers have investigated into side-channel analysis to detect the presence of…

密码学与安全 · 计算机科学 2023-07-06 Samir R Katte , Keith E Fernandez

Trojan virus attacks pose one of the most serious threats to computer security. A Trojan horse is typically separated into two parts - a server and a client. It is the client that is cleverly disguised as significant software and positioned…

密码学与安全 · 计算机科学 2011-05-25 Ghossoon. M. W. Al-Saadoon , Hilal M. Y. Al-Bayatti

Wireless covert channels promise to exfiltrate information with high bandwidth by circumventing traditional access control mechanisms. Ideally, they are only accessible by the intended recipient and---for regular system…

网络与互联网体系结构 · 计算机科学 2015-05-06 Jiska Classen , Matthias Schulz , Matthias Hollick

Covert communication aims to hide the very existence of wireless transmissions in order to guarantee a strong security in wireless networks. In this work, we examine the possibility and achievable performance of covert communication in…

信息论 · 计算机科学 2024-10-30 Jinsong Hu , Shihao Yan , Xiangyun Zhou , Feng Shu , Jun Li , Jiangzhou Wang

Covert communication aims to shield the very existence of wireless transmissions in order to guarantee a strong security in wireless networks. In this work, for the first time we examine the possibility and achievable performance of covert…

信息论 · 计算机科学 2017-04-18 Jinsong Hu , Shihao Yan , Xiangyun Zhou , Feng Shu , Jiangzhou Wang
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