中文
相关论文

相关论文: Enabling Deep Learning-based Physical-layer Secret…

200 篇论文

Physical-layer key generation (PKG) establishes cryptographic keys from highly correlated measurements of wireless channels, which relies on reciprocal channel characteristics between uplink and downlink, is a promising wireless security…

密码学与安全 · 计算机科学 2021-09-01 Xinwei Zhang , Guyue Li , Junqing Zhang , Aiqun Hu , Zongyue Hou , Bin Xiao

Physical layer key generation from the wireless channel is an emerging area of interest to provide confidentiality and authentication. One of the main challenges in this domain is to increase the length of the secret key while maintaining…

信号处理 · 电气工程与系统科学 2021-10-01 Haji M. Furqan , Jehad M. Hamamreh , Huseyin Arslan

We propose orthogonal frequency division multiplexing (OFDM), as a spectrally efficient multiplexing technique, for quantum key distribution (QKD) at the core of trustednode quantum networks. Two main schemes are proposed and analyzed in…

量子物理 · 物理学 2015-11-24 Sima Bahrani , Mohsen Razavi , Jawad A. Salehi

Physical-layer key generation (PKG) based on channel reciprocity has recently emerged as a new technique to establish secret keys between devices. Most works focus on pairwise communication scenarios with single or small-scale antennas.…

信息论 · 计算机科学 2020-09-23 Guyue Li , Chen Sun , Eduard Jorswieck , Junqing Zhang , Aiqun Hu , You Chen

In this paper, we consider the problem of secret key generation for multiple parties. Multi-user networks usually require a trusted party to efficiently distribute keys to the legitimate users and this process is a weakness against…

密码学与安全 · 计算机科学 2022-08-30 Ufuk Altun , Semiha T. Basaran , Gunes K. Kurt , Enver Ozdemir

In this paper, a multilayer perceptron guided key generation for encryption/decryption (MLPKG) has been proposed through recursive replacement using mutated character code generation for wireless communication of data/information.…

密码学与安全 · 计算机科学 2012-08-14 Arindam Sarkar , J. K. Mandal

It is well accepted that acquiring downlink channel state information in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems is challenging because of the large overhead in training and feedback. In this…

信息论 · 计算机科学 2022-05-18 Javad Mirzaei , Shahram ShahbazPanahi , Raviraj Adve , Navaneetha Gopal

Physical-layer key generation (PKG) in multi-user massive MIMO networks faces great challenges due to the large length of pilots and the high dimension of channel matrix. To tackle these problems, we propose a novel massive MIMO key…

信息论 · 计算机科学 2020-05-19 You Chen , Guyue Li , Chen Sun , Junqing Zhang , Eduard Jorswieck , Bin Xiao

Federated Learning (FL) solutions with central Differential Privacy (DP) have seen large improvements in their utility in recent years arising from the matrix mechanism, while FL solutions with distributed (more private) DP have lagged…

密码学与安全 · 计算机科学 2025-06-18 Alexander Bienstock , Ujjwal Kumar , Antigoni Polychroniadou

The physical-layer secret key generation has emerged as a promising solution for establishing cryptographic keys by leveraging reciprocal and time-varying wireless channels. However, existing approaches suffer from low key generation rates…

密码学与安全 · 计算机科学 2021-12-07 Guyue Li , Haiyu Yang , Junqing Zhang , Hongbo Liu , Aiqun Hu

Modern Natural Language Generation (NLG) models come with massive computational and storage requirements. In this work, we study the potential of compressing them, which is crucial for real-world applications serving millions of users. We…

计算与语言 · 计算机科学 2023-05-29 Nitay Calderon , Subhabrata Mukherjee , Roi Reichart , Amir Kantor

Artificial intelligence (AI) based downlink channel state information (CSI) prediction for frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems has attracted growing attention recently. However, existing…

信息论 · 计算机科学 2020-09-08 Yuwen Yang , Feifei Gao , Zhimeng Zhong , Bo Ai , Ahmed Alkhateeb

With the emergence of 5G low latency applications, such as haptics and V2X, low complexity and low latency security mechanisms are sought. Promising lightweight mechanisms include physical unclonable functions (PUF) and secret key…

密码学与安全 · 计算机科学 2020-03-27 Miroslav Mitev , Arsenia Chorti , Martin Reed , Leila Musavian

The increased availability of data and computing resources has enabled researchers to successfully adopt machine learning (ML) techniques and make significant contributions in several engineering areas. ML and in particular deep learning…

机器学习 · 计算机科学 2025-02-10 Nunzio A. Letizia

In this work, we propose a secret key generation procedure specifically designed for the inter-spacecraft communication links. As a novel secrecy source, the spacecrafts utilize Doppler frequency shift based measurements. In this way, the…

信号处理 · 电气工程与系统科学 2021-05-05 Ozan Alp Topal , Gunes Karabulut Kurt , Halim Yanikomeroglu

We propose a novel physical layer secret key generation method for the inter-spacecraft communication links. By exploiting the Doppler frequency shifts of the reciprocal spacecraft links as a unique secrecy source, spacecrafts aim to obtain…

信号处理 · 电气工程与系统科学 2020-09-01 Ozan Alp Topal , Gunes Karabulut Kurt , Halim Yanikomeroglu

Cellular communication technologies such as 5G are deployed on a large scale around the world. Compared to other communication technologies such as WiFi, Bluetooth, or Ultra Wideband, the 5G communication standard describes support for a…

This manuscript aims to generate a secret key for a PHY layer to evaluate the channel characteristics in wireless communications. An algorithmic approach is adopted for multimedia encryption to generate a secret key between two entities…

密码学与安全 · 计算机科学 2013-08-07 B. U. V Prashanth , Y. Pandurangaiah

Recent years have seen an increasing emphasis on information security, and various encryption methods have been proposed. However, for symmetric encryption methods, the well-known encryption techniques still rely on the key space to…

密码学与安全 · 计算机科学 2020-03-12 Xiang Li , Peng Wang

Many physics-informed machine learning methods for PDE-based problems rely on Gaussian processes (GPs) or neural networks (NNs). However, both face limitations when data are scarce and the dimensionality is high. Although GPs are known for…

机器学习 · 计算机科学 2025-01-31 Weihao Yan , Christoph Brune , Mengwu Guo
‹ 上一页 1 2 3 10 下一页 ›