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A novel precoding method based on supervised deep neural networks is introduced for the multiple-input multiple-output Gaussian wiretap channel. The proposed deep learning (DL)-based precoding learns the input covariance matrix through…

Information Theory · Computer Science 2019-09-18 Xinliang Zhang , Mojtaba Vaezi

In this two-part paper, we consider the transmission of confidential data over wireless wiretap channels. The first part presents an information-theoretic problem formulation in which two legitimate partners communicate over a quasi-static…

Information Theory · Computer Science 2007-07-13 Matthieu Bloch , Joao Barros , Miguel R. D. Rodrigues , Steven W. McLaughlin

This paper considers a Gaussian multi-input multi-output (MIMO) multiple access wiretap (MAC-WT) channel, where an eavesdropper (Eve) wants to extract the confidential information of all users. Assuming that both the legitimate receiver and…

Information Theory · Computer Science 2022-09-20 Hao Xu , Kai-Kit Wong , Giuseppe Caire

In this paper, the physical layer security of a dual-hop underlay uplink cognitive radio network is investigated over Nakagami-m fading channels. Specifically, multiple secondary sources are taking turns in accessing the licensed spectrum…

Information Theory · Computer Science 2019-12-02 Mounia Bouabdellah , Faissal El Bouanani , Mohamed-Slim Alouini

In this paper, we study the design of secure communication for time division duplexing multi-cell multi-user massive multiple-input multiple-output (MIMO) systems with active eavesdropping. We assume that the eavesdropper actively attacks…

Information Theory · Computer Science 2018-01-23 Yongpeng Wu , Chao-Kai Wen , Wen Chen , Shi Jin , Robert Schober , Giuseppe Caire

The classic MIMO wiretap channel comprises a passive eavesdropper that attempts to intercept communications between an authorized transmitter-receiver pair, each node being equipped with multiple antennas. In a dynamic network, it is…

Information Theory · Computer Science 2013-08-13 Amitav Mukherjee , A. Lee Swindlehurst

One key metric for physical layer security is the secrecy capacity. This is the maximum rate that a system can transmit with perfect secrecy. For a Multiple Input Multiple Output (MIMO) system (a newer technology for 5G, 6G and beyond) the…

Information Theory · Computer Science 2022-10-03 Jennifer Chakravarty , Oliver Johnson , Robert Piechocki

This paper studies robust transmission schemes for multiple-input single-output (MISO) wiretap channels. Both the cases of direct transmission and cooperative jamming with a helper are investigated with imperfect channel state information…

Information Theory · Computer Science 2015-05-27 Jing Huang , A. Lee Swindlehurst

This paper investigates reliable and covert transmission strategies in a multiple-input multiple-output (MIMO) wiretap channel with a transmitter, receiver and an adversarial wiretapper, each equipped with multiple antennas. In a departure…

Information Theory · Computer Science 2016-11-15 Amitav Mukherjee , A. Lee Swindlehurst

We consider a wiretap multiple-input multiple-output multiple-eavesdropper (MIMOME) channel, where agent Alice aims at transmitting a secret message to agent Bob, while leaking no information on it to an eavesdropper agent Eve. We assume…

Information Theory · Computer Science 2014-04-15 Francesco Renna , Nicola Laurenti , Stefano Tomasin

We have developed a method to calculate a secret key rate of a continuous-variable quantum-key-distribution scheme using four coherent states and postselection for a general model of Gaussian attacks. We assume that the transmission line…

Quantum Physics · Physics 2018-10-30 Ryo Namiki , Akira Kitagawa , Takuya Hirano

As digital data transmission continues to scale, concerns about privacy grow increasingly urgent - yet privacy remains a socially constructed and ambiguously defined concept, lacking a universally accepted quantitative measure. This work…

Cryptography and Security · Computer Science 2025-08-13 Ikram Messadi , Giulia Cervia , Vincent Itier

Capacity-achieving signaling strategies for the Gaussian wiretap MIMO channel are investigated without the degradedness assumption. In addition to known solutions, a number of new rank-deficient solutions for the optimal transmit covariance…

Information Theory · Computer Science 2016-11-15 Sergey Loyka , Charalambos D. Charalambous

A multiplicative Gaussian wire-tap channel inspired by compressed sensing is studied. Lower and upper bounds on the secrecy capacity are derived, and shown to be relatively tight in the large system limit for a large class of compressed…

Information Theory · Computer Science 2015-03-19 Galen Reeves , Naveen Goela , Nebojsa Milosavljevic , Michael Gastpar

The problem of secure multiterminal source coding with side information at the eavesdropper is investigated. This scenario consists of a main encoder (referred to as Alice) that wishes to compress a single source but simultaneously…

Information Theory · Computer Science 2013-11-11 Joffrey Villard , Pablo Piantanida

Information theoretic secrecy is combined with cryptographic secrecy to create a secret-key exchange protocol for wireless networks. A network of transmitters, which already have cryptographically secured channels between them, cooperate to…

Cryptography and Security · Computer Science 2016-11-15 Toni Draganov Stojanovski , Ninoslav Marina

The secrecy performance of a source-channel model is studied in the context of lossy source compression over a noisy broadcast channel. The source is causally revealed to the eavesdropper during decoding. The fidelity of the transmission to…

Information Theory · Computer Science 2015-06-24 Eva C. Song , Paul Cuff , H. Vincent Poor

In this paper, new two-user multiple access wiretap channel models are studied. First, the multiple access wiretap channel II with a discrete memoryless main channel, under three different wiretapping scenarios, is introduced. The…

Information Theory · Computer Science 2018-02-07 Mohamed Nafea , Aylin Yener

Recently, several methods have been proposed for estimating the mutual information from sample data using deep neural networks and without the knowing closed form distribution of the data. This class of estimators is referred to as neural…

Information Theory · Computer Science 2022-03-22 Farhad Mirkarimi , Stefano Rini , Nariman Farsad

This paper characterizes the secret message capacity of three networks where two unicast sessions share some of the communication resources. Each network consists of erasure channels with state feedback. A passive eavesdropper is assumed to…

Information Theory · Computer Science 2018-10-16 Gaurav Kumar Agarwal , Martina Cardone , Christina Fragouli
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