This article studies the physical layer security in a multiple-input-multiple-output (MIMO) dual-functional radar-communication (DFRC) system, which communicates with downlink cellular users and tracks radar targets simultaneously. Here, are considered as potential eavesdroppers might eavesdrop information from communication transmitter to legitimate users. To ensure transmission secrecy, we employ artificial noise (AN) at formulate optimization problems by minimizing signal-to-noise ratio...

Integrated sensing and communication (ISAC) has recently emerged as a candidate 6G technology, aiming to unify the two key operations of future network in spectrum/energy/cost-efficient way. ISAC systems communicate sense for targets using common waveform, hardware platform, ultimately same infrastructure. Nevertheless, inclusion information signaling probing waveform target raises challenges from perspective security. At time, capability incorporated transmission offers unique opportunities...

We study security solutions for dual-functional radar communication (DFRC) systems, which detect the target and communicate with downlink cellular users in millimeter-wave (mmWave) wireless networks simultaneously. Uniquely such scenarios, is regarded as a potential eavesdropper might surveil information sent from base station (BS) to (CUs), that carried by probing signal. Transmit waveform receive beamforming are jointly designed maximize signal-to-interference-plus-noise ratio (SINR) of...

In this paper, we investigate the sensing-aided physical layer security (PLS) towards Integrated Sensing and Communication (ISAC) systems. A well-known limitation of PLS is need to have information about potential eavesdroppers (Eves). The sensing functionality ISAC offers an enabling role here, by estimating directions Eves inform PLS. our approach, base station (BS) firstly emits omnidirectional waveform search for Eves' employing combined Capon approximate maximum likelihood (CAML)...

Abstract In this paper, we present a signaling design for secure integrated sensing and communication (ISAC) systems comprising dual-functional multi-input multi-output base station that simultaneously communicates with multiple users while detecting targets in their vicinity, which are regarded as potential eavesdroppers. particular, assuming the distribution of each parameter to be estimated is known priori , focus on optimizing targets’ performance. To end, derive minimize Bayesian...

Dual-functional radar communication (DFRC) system has recently attracted significant academic attentions as an enabling solution for realizing radar-communication spectrum sharing. During the DFRC transmission, however, critical information could be leaked to targets, which might potential eavesdroppers. Therefore, physical layer security taken into consideration. In this paper, fractional programming (FP) problems are formulated minimize signal-to-interference-plus-noise ratio (SINR) at...

In this paper, we present a signaling design for secure integrated sensing and communication (ISAC) systems comprising dual-functional multi-input multi-output (MIMO) base station (BS) that simultaneously communicates with multiple users while detecting targets in their vicinity, which are regarded as potential eavesdroppers. particular, assuming the distribution of each parameter to be estimated is known \textit{a priori}, focus on optimizing targets' performance. To end, derive minimize...

This paper addresses the problem that designing transmit waveform and receive beamformer aims to maximize radar SINR for secure dual-functional radar- communication (DFRC) systems, where undesired multi- user interference (MUI) is transformed useful power. In this system, DFRC base station (BS) serves users (CUs) detects target simultaneously, regarded be malicious since it might eavesdrop transmitted information from BS CUs. Inspired by constructive (CI) approach, phases of received signals...

Integrated sensing and communication (ISAC) has recently emerged as a candidate 6G technology, aiming to unify the two key operations of future network in spectrum/energy/cost efficient way. ISAC involves communicating information receivers simultaneously targets, while both use same waveforms, transmitter ultimately infrastructure. Nevertheless, inclusion signalling into probing waveform for target raises unique difficult challenges from perspective security. At time, capability...

This paper investigates the constructive interference (CI) based constant evelope (CE) waveform design problem aiming at enhancing physical layer (PHY) security in dual-functional radar-communication (DFRC) systems. DFRC systems detect radar target and communicate with downlink cellular users wireless networks simultaneously, where is regarded as a potential eavesdropper which might surveil data from base station (BS) to communication (CUs). The CE receive beamforming are jointly designed...

We study security solutions for dual-functional radar communication (DFRC) systems, which detect the target and communicate with downlink cellular users in millimeter-wave (mmWave) wireless networks simultaneously. Uniquely such scenarios, is regarded as a potential eavesdropper might surveil information sent from base station (BS) to (CUs), that carried by probing signal. Transmit waveform receive beamforming are jointly designed maximize signal-to-interference-plus-noise ratio (SINR) of...

With the expectation of deeper integration between sensing and communication functionalities, we investigate sensing-assisted approach to ensure security confidential information in Integrated Sensing Communication (ISAC) systems. In physical layer (PLS) studies, acquisition channel state (CSI) is considered be common limitation. However, ISAC systems, functionality able provide towards each target, aka., potential eavesdropper (Eve), by estimating directions. our design, dual-functional...

Dual-functional radar communication (DFRC) system has recently attracted significant academic attentions as an enabling solution for realizing radar-communication spectrum sharing. During the DFRC transmission, however, critical information could be leaked to targets, which might potential eavesdroppers. Therefore, physical layer security taken into consideration. In this paper, fractional programming (FP) problems are formulated minimize signal-to-interference-plus-noise ratio (SINR) at...

In this paper, we investigate the sensing-aided physical layer security (PLS) towards Integrated Sensing and Communication (ISAC) systems. A well-known limitation of PLS is need to have information about potential eavesdroppers (Eves). The sensing functionality ISAC offers an enabling role here, by estimating directions Eves inform PLS. our approach, base station (BS) firstly emits omni-directional waveform search for Eves' employing combined Capon approximate maximum likelihood (CAML)...

This paper studies the physical layer security in a multiple-input-multiple-output (MIMO) dual-functional radar-communication (DFRC) system, which communicates with downlink cellular users and tracks radar targets simultaneously. Here, are considered as potential eavesdroppers might eavesdrop information from communication transmitter to legitimate users. To ensure transmission secrecy, we employ artificial noise (AN) at formulate optimization problems by minimizing...

This paper addresses the problem that designing transmit waveform and receive beamformer aims to maximize radar SINR for secure dual-functional radar-communication (DFRC) systems, where undesired multi-user interference (MUI) is transformed useful power. In this system, DFRC base station (BS) serves communication users (CUs) detects target simultaneously, regarded be malicious since it might eavesdrop transmitted information from BS CUs. Inspired by constructive (CI) approach, phases of...