Artificial Noisy MIMO Systems Under Correlated Scattering Rayleigh Fading—A Physical Layer Security Approach

Liu, Yiliang; Chen, Hsiao‐Hwa; Wang, Liangmin; Meng, Weixiao

doi:10.1109/jsyst.2019.2922848

Cited by 21 publications

(11 citation statements)

References 39 publications

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“…4a, we can find that the ergodic secrecy rate increases with the increasing number of IRS elements. Also, a comparison is taken between IRS-assisted PLS and the secure beamforming scheme that uses N t = N + 1 transmission antennas in the case of N b = 1 and N e = 1 [13]. From the comparison simulations, we find that the IRS-assisted PLS outperforms the secure beamforming scheme because the channel gain by IRS is larger than that of the beamforming scheme [37].…”

Section: Simulationsmentioning

confidence: 98%

“…The secrecy rate can be viewed as the inherent property for a given instantaneous CSI realization. The ergodic secrecy rate is the average value of secrecy rates among all realizations of CSIs, which is a usual metric for PLS schemes [3], [13]. As the CSIs of wiretap channels are unknown, to calculate the ergodic secrecy rate, the gain of wiretap channels in Eq.…”

Section: B Ergodic Secrecy Ratementioning

confidence: 99%

“…With Lemma 1, we deduce the expression of ergodic secrecy rate with optimal phase shift matrix Φ * i . The ergodic secrecy rate is defined as follows [13],…”

Section: B Ergodic Secrecy Ratementioning

confidence: 99%

“…Hence, the security of links from the sensors to the MEC servers cannot be protected effectively. In addition, due to the cost constraint of sensor devices, traditional PLS schemes, such as multiple-antenna beamforming or artificial noise technologies [13], are not suitable for IoT networks.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Energy-Efficient and Physical Layer Secure Computation Offloading in Blockchain-Empowered Internet of Things

Liu¹,

Zhou²,

Wang³

2022

Preprint

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This paper investigates computation offloading in blockchain-empowered Internet of Things (IoT), where the task data uploading link from sensors to a base station (BS) is protected by intelligent reflecting surface (IRS)-assisted physical layer security (PLS). After receiving task data, the BS allocates computational resources provided by mobile edge computing (MEC) servers to help sensors perform tasks. Existing blockchain-based computation offloading schemes usually focus on network performance improvements, such as energy consumption minimization or latency minimization, and neglect the Gas fee for computation offloading, resulting in the dissatisfaction of high Gas providers. Also, the secrecy rate during the data uploading process can not be measured by a steady value because of the time-varying characteristics of IRS-based wireless channels, thereby computational resources allocation with a secrecy rate measured before data uploading is inappropriate. In this paper, we design a Gas-oriented computation offloading scheme that guarantees a low degree of dissatisfaction of sensors, while reducing energy consumption. Also, we deduce the ergodic secrecy rate of IRS-assisted PLS transmission that can represent the global secrecy performance to allocate computational resources. The simulations show that the proposed scheme has lower energy consumption compared to existing schemes, and ensures that the node paying higher Gas gets stronger computational resources.

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Section: Simulationsmentioning

confidence: 98%

Section: B Ergodic Secrecy Ratementioning

confidence: 99%

“…With Lemma 1, we deduce the expression of ergodic secrecy rate with optimal phase shift matrix Φ * i . The ergodic secrecy rate is defined as follows [13],…”

Section: B Ergodic Secrecy Ratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Energy-Efficient and Physical Layer Secure Computation Offloading in Blockchain-Empowered Internet of Things

Liu¹,

Zhou²,

Wang³

2022

Preprint

Self Cite

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“…14, NO. 4, DECEMBER 2020 + Check author entry for coauthors Xu, D., Legitimate Surveillance With Battery-Aided Wireless Powered Full- Du-plex Monitor; JSYST Dec. 2020 5229-5232 Xu, H., see Jiang, P., JSYST Sept. 2020 4344-4355 Xu, J., see Fan, X., JSYST Dec. 2020 4943-4954 Xu, K., Shen, Z., Wang, Y., and Xia, X., Location-Aided mMIMO Channel Tracking and Hybrid Beamforming for High-Speed Railway Communications: An Angle-Domain Approach; JSYST March 2020 93-104 Xu, L., see Zhao, L., JSYST Sept. 2020 3904-3915 Xu, S., Cao, J., Legg, P., Liu, B., and Li, S., Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks; JSYST June 2020 1740-1751 Xu, X., see Qu, H., JSYST Sept. 2020 3161-3172 Xu, X., Dai, Z., Shan, A., and Gu, T., Connected Target ϵ-probability Coverage in WSNs With Directional Probabilistic Sensors; JSYST Sept. 2020 3399-3409 Xu, Y., see Ding, R., JSYST March 2020 633-644 Xu, Y., see Wang, H., JSYST March 2020 538-547 Xu, Y., see Xu, C., 2443-2454, see Wang, Y., JSYST Dec. 2020 5373-5383 Xu, Y., see Xu, C., JSYST Dec. 2020 5384-5395 Xu, Y., see Xu, C., JSYST Dec. 2020 5384-5395 Xue, J., see Sang, Y., JSYST Sept. 2020 3245-3255 Y Yadav, A., see Chaitanya, B.K., JSYST March 2020 870-879 Yadav, A., see Kumar, R., 2085-2096 Yadav, S., Kumar, V., Dhok, S.B., and Jayakody, D.N.K., Energy-Efficient Design of MI Communication-Based 3-D Non-Conventional WSNs; JSYST June 2020 2585-2588 Yadav, V.K., see Mundhe, P., JSYST Dec. 2020 5463-5474 Yan, F., see Qu, H., JSYST Sept. 2020 3161-3172 Yan, H., Li, J., and Zhang, Y., Remote Data Checking With a Designated Verifier in Cloud Storage; JSYST June 2020 1788-1797 Yan, J., see Luo, X., 2901-2912 Yan, J., see Kabir, M.E., JSYST Sept. 2020 4221-4231 Yan, X., Gu, C., Zhang, X., and Li, F., Robust Optimization-Based Energy Storage Operation for System Congestion Management; 2694-2702 NOMA-Based Uplink Satellite Networks With Randomly Deployed Users;...…”

Section: Optimizing Efficient Energy Transmission On a Swiptmentioning

confidence: 99%

2020 Index IEEE Systems Journal Vol. 14

2020

IEEE Systems Journal

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This index covers all technical items-papers, correspondence, reviews, etc.-that appeared in this periodical during 2019, and items from previous years that were commented upon or corrected in 2019. Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. Note that the item title is found only under the primary entry in the Author Index.

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Pilot spoofing attack detection and channel estimation for secure massive MIMO

Liu,

Wang,

Huang

2024

Electronics Letters

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Pilot spoofing attack (PSA) is an active eavesdropping attack in massive multiple‐input multiple‐output systems, where the eavesdroppers transmit the same pilot sequence as the legitimate user does to the base station to confuse the normal channel estimation during the uplink channel training phase. With the contaminated channel estimations, more information will be leaked to eavesdroppers in the downlink transmission phase. However, it is a challenging issue to detect the PSA attack due to the similarity of the received signals and the variations of the wireless channels. Here, a new PSA detection scheme by using the difference of two different estimators is presented, that is, the least square estimator and the minimum mean square error estimator, without requiring any priori of eavesdroppers. Following that, a new data‐aided channel estimation scheme is proposed to eliminate the PSA effect. Simulation results demonstrate that the proposed PSA detection scheme outperforms the conventional energy detector, and more accurate legitimate channel estimation and higher sum secrecy rates can be obtained with the proposed scheme.

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Artificial Noisy MIMO Systems Under Correlated Scattering Rayleigh Fading—A Physical Layer Security Approach

Cited by 21 publications

References 39 publications

Energy-Efficient and Physical Layer Secure Computation Offloading in Blockchain-Empowered Internet of Things

Energy-Efficient and Physical Layer Secure Computation Offloading in Blockchain-Empowered Internet of Things

2020 Index IEEE Systems Journal Vol. 14

Pilot spoofing attack detection and channel estimation for secure massive MIMO

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