发布求助
文献互助 智能选刊 最新文献

Annals of Telecommunications最新文献

筛选
英文 中文
Adaptive password guessing: learning language, nationality and dataset source 自适应密码猜测：学习语言、国籍和数据集来源
IF 1.9 4区 计算机科学
Annals of Telecommunications Pub Date : 2023-07-11 DOI: 10.1007/s12243-023-00969-4
Hazel Murray, David Malone
{"title":"Adaptive password guessing: learning language, nationality and dataset source","authors":"Hazel Murray,&nbsp;David Malone","doi":"10.1007/s12243-023-00969-4","DOIUrl":"10.1007/s12243-023-00969-4","url":null,"abstract":"<div><p>Human chosen passwords are often predictable. Research has shown that users of similar demographics or choosing passwords for the same website will often choose similar passwords. This knowledge is leveraged by human password guessers who use it to tailor their attacks. In this paper, we demonstrate that a learning algorithm can actively learn these same characteristics of the passwords as it is guessing and that it can leverage this information to adaptively improve its guessing. Furthermore, we show that if we split our candidate wordlists based on these characteristics, then a multi-armed bandit style guessing algorithm can adaptively choose to guess from the wordlist which will maximise successes.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"78 7-8","pages":"385 - 400"},"PeriodicalIF":1.9,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12243-023-00969-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50471457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards programmable IoT with ActiveNDN 利用ActiveNDN实现可编程物联网
IF 1.9 4区 计算机科学
Annals of Telecommunications Pub Date : 2023-07-04 DOI: 10.1007/s12243-023-00954-x
Preechai Mekbungwan, Adisorn Lertsinsrubtavee, Sukumal Kitisin, Giovanni Pau, Kanchana Kanchanasut
{"title":"Towards programmable IoT with ActiveNDN","authors":"Preechai Mekbungwan,&nbsp;Adisorn Lertsinsrubtavee,&nbsp;Sukumal Kitisin,&nbsp;Giovanni Pau,&nbsp;Kanchana Kanchanasut","doi":"10.1007/s12243-023-00954-x","DOIUrl":"10.1007/s12243-023-00954-x","url":null,"abstract":"<div><p>We propose to perform robust distributed computation, such as analysing and filtering raw data in real time, as close as possible to sensors in an environment with intermittent Internet connectivity and resource-constrained computable IoT nodes. To enable this computation, we deploy a named data network (NDN) for IoT applications, which allows data to be referenced by names. The novelty of our work lies in the inclusion of computation functions in each NDN router and allowing functions to be treated as executable Data objects. Function call is expressed as part of the NDN Interest names with proper name prefixes for NDN routing. With the results of the function computation returned as NDN Data packets, a normal NDN is converted to an ActiveNDN node. Distributed function executions can be orchestrated by an ActiveNDN program to perform required computations in the network. In this paper, we describe the design of ActiveNDN with a small prototype network as a proof of concept. We conduct extensive simulation experiments to investigate the performance and effectiveness of ActiveNDN in large-scale wireless IoT networks. Two programmable IoT air quality monitoring applications on our real-world ActiveNDN testbed are described, demonstrating that programmable IoT devices with on-site execution are capable of handling increasingly complex and time-sensitive IoT scenarios.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"78 11-12","pages":"667 - 684"},"PeriodicalIF":1.9,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85671563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Deep unfolding for energy-efficient resource allocation in mmWave networks with multi-connectivity 多连通毫米波网络中高效节能资源分配的深度展开
IF 1.9 4区 计算机科学
Annals of Telecommunications Pub Date : 2023-07-01 DOI: 10.1007/s12243-023-00970-x
Pan Chongrui, Yu Guanding
{"title":"Deep unfolding for energy-efficient resource allocation in mmWave networks with multi-connectivity","authors":"Pan Chongrui,&nbsp;Yu Guanding","doi":"10.1007/s12243-023-00970-x","DOIUrl":"10.1007/s12243-023-00970-x","url":null,"abstract":"<div><p>In millimeter-wave (mmWave) communications, multi-connectivity can enhance the communication capacity while at the cost of increased power consumption. In this paper, we investigate a deep-unfolding-based approach for joint user association and power allocation to maximize the energy efficiency of mmWave networks with multi-connectivity. The problem is formulated as a mixed integer nonlinear fractional optimization problem. First, we develop a three-stage iterative algorithm to achieve an upper bound of the original problem. Then, we unfold the iterative algorithm with a convolutional neural network (CNN)-based accelerator and trainable parameters. Moreover, we propose a CNN-aided greedy algorithm to obtain a feasible solution. The simulation results show that the proposed algorithm can achieve good performance and strong robustness but with much reduced computational complexity.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"78 9-10","pages":"627 - 639"},"PeriodicalIF":1.9,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50432228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Privacy preserving machine unlearning for smart cities 为智慧城市提供保护隐私的机器非学习技术
IF 1.8 4区 计算机科学
Annals of Telecommunications Pub Date : 2023-06-29 DOI: 10.1007/s12243-023-00960-z
Kongyang Chen, Yao Huang, Yiwen Wang, Xiaoxue Zhang, Bing Mi, Yu Wang
{"title":"Privacy preserving machine unlearning for smart cities","authors":"Kongyang Chen,&nbsp;Yao Huang,&nbsp;Yiwen Wang,&nbsp;Xiaoxue Zhang,&nbsp;Bing Mi,&nbsp;Yu Wang","doi":"10.1007/s12243-023-00960-z","DOIUrl":"10.1007/s12243-023-00960-z","url":null,"abstract":"<div><p>Due to emerging concerns about public and private privacy issues in smart cities, many countries and organizations are establishing laws and regulations (e.g., GPDR) to protect the data security. One of the most important items is the so-called <i>The Right to be Forgotten</i>, which means that these data should be forgotten by all inappropriate use. To truly forget these data, they should be deleted from all databases that cover them, and also be removed from all machine learning models that are trained on them. The second one is called <i>machine unlearning</i>. One naive method for machine unlearning is to retrain a new model after data removal. However, in the current big data era, this will take a very long time. In this paper, we borrow the idea of Generative Adversarial Network (GAN), and propose a fast machine unlearning method that unlearns data in an adversarial way. Experimental results show that our method produces significant improvement in terms of the forgotten performance, model accuracy, and time cost.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"79 1-2","pages":"61 - 72"},"PeriodicalIF":1.8,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76305969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hidden Markov Model for early prediction of the elderly’s dependency evolution in ambient assisted living 环境辅助生活中老年人依赖性进化的早期预测隐马尔可夫模型
IF 1.9 4区 计算机科学
Annals of Telecommunications Pub Date : 2023-06-23 DOI: 10.1007/s12243-023-00964-9
Rim Jouini, Chiraz Houaidia, Leila Azouz Saidane
{"title":"Hidden Markov Model for early prediction of the elderly’s dependency evolution in ambient assisted living","authors":"Rim Jouini,&nbsp;Chiraz Houaidia,&nbsp;Leila Azouz Saidane","doi":"10.1007/s12243-023-00964-9","DOIUrl":"10.1007/s12243-023-00964-9","url":null,"abstract":"<div><p>The integration of information and communication technologies (ICT) can be of great utility in monitoring and evaluating the elderly’s health condition and its behavior in performing Activities of Daily Living (ADL) in the perspective to avoid, as long as possible, the delays of recourse to health care institutions (e.g., nursing homes and hospitals). In this research, we propose a predictive model for detecting behavioral and health-related changes in a patient who is monitored continuously in an assisted living environment. We focus on keeping track of the dependency level evolution and detecting the loss of autonomy for an elderly person using a Hidden Markov Model based approach. In this predictive process, we were interested in including the correlation between cardiovascular history and hypertension as it is considered the primary risk factor for cardiovascular diseases, stroke, kidney failure and many other diseases. Our simulation was applied to an empirical dataset that concerned 3046 elderly persons monitored over 9 years. The results show that our model accurately evaluates person’s dependency, follows his autonomy evolution over time and thus predicts moments of important changes.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"78 9-10","pages":"599 - 615"},"PeriodicalIF":1.9,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50507439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Enhanced DASS-CARE 2.0: a blockchain-based and decentralized FL framework 增强型DASS-CARE 2.0:基于区块链的去中心化FL框架
IF 1.9 4区 计算机科学
Annals of Telecommunications Pub Date : 2023-06-19 DOI: 10.1007/s12243-023-00965-8
Meryeme Ayache, Ikram El Asri, Jamal N. Al-Karaki, Mohamed Bellouch, Amjad Gawanmeh, Karim Tazzi
{"title":"Enhanced DASS-CARE 2.0: a blockchain-based and decentralized FL framework","authors":"Meryeme Ayache,&nbsp;Ikram El Asri,&nbsp;Jamal N. Al-Karaki,&nbsp;Mohamed Bellouch,&nbsp;Amjad Gawanmeh,&nbsp;Karim Tazzi","doi":"10.1007/s12243-023-00965-8","DOIUrl":"10.1007/s12243-023-00965-8","url":null,"abstract":"<div><p>The emergence of the Cognitive Internet of Medical Things (CIoMT) during the COVID-19 pandemic has been transformational. The CIoMT is a rapidly evolving technology that uses artificial intelligence, big data, and the Internet of Things (IoT) to provide personalized patient care. The CIoMT can be used to monitor and track vital signs, such as temperature, blood pressure, and heart rate, thus giving healthcare providers real-time information about a patient’s health. However, in such systems, the problem of privacy during data processing or sharing remains. Therefore, federated learning (FL) plays an important role in the Cognitive Internet of Medical Things (CIoMT) by allowing multiple medical devices to securely collaborate in a distributed and privacy-preserving manner. On the other hand, classical centralized FL models have several limitations, such as single points of failure and malicious servers. This paper presents an enhancement of the existing DASS-CARE 2.0 framework by using a blockchain-based federated learning framework. The proposed solution provides a secure and reliable distributed learning platform for medical data sharing and analytics in a multi-organizational environment. The blockchain-based federated learning framework offrs an innovative solution to overcome the challenges encountered in traditional FL. Furthermore, we provide a comprehensive discussion of the advantages of the proposed framework through a comparative study between our DASS-CARE 2.0 and the traditional centralized FL model while taking the aforementioned security challenges into consideration. Overall, the performance of the proposed framework shows significant advantages compared to traditional methods.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"78 11-12","pages":"703 - 715"},"PeriodicalIF":1.9,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86594149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Towards greener digital infrastructures for ICT and vertical markets 为信息通信技术和垂直市场打造更环保的数字基础设施
IF 1.9 4区 计算机科学
Annals of Telecommunications Pub Date : 2023-06-13 DOI: 10.1007/s12243-023-00961-y
Dominique Chiaroni, Raffaele Luca Amalfi, Jos George, Maximilian Riegel
{"title":"Towards greener digital infrastructures for ICT and vertical markets","authors":"Dominique Chiaroni,&nbsp;Raffaele Luca Amalfi,&nbsp;Jos George,&nbsp;Maximilian Riegel","doi":"10.1007/s12243-023-00961-y","DOIUrl":"10.1007/s12243-023-00961-y","url":null,"abstract":"<div><p>One of the most important challenges of this century will be to minimise as much as possible the energy consumption of the worldwide digital infrastructure to have a significant contribution on our emissions of CO<sub>2</sub> reduction since energy consumption and emission of CO<sub>2</sub> are directly linked. Therefore, after an introduction (part 1), in part 2 of this paper, we will describe the status of the worldwide production of electricity, the contribution of information and communications technology (ICT) in terms of electricity consumption, and the identification of the critical network segments that can have a significant environmental impact. In part 3, we will focus on the data centres and core services that represent important network segments responsible for the largest emission of CO<sub>2</sub>. In part 4, we will address the access and aggregation part, which represents the second important network segment to optimise. Part 5 will focus on the home networking and enterprise. And before an estimation of the energy savings obtained when adopting the innovations proposed, the impact of the vertical market will be discussed in part 6. Finally, the conclusion (part 7) will summarise the results and perspectives will be proposed to complete the analysis.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"78 5-6","pages":"255 - 275"},"PeriodicalIF":1.9,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50477759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robust adaptive beamforming algorithm for coherent signals based on virtual array 基于虚拟阵列的相干信号鲁棒自适应波束形成算法
IF 1.9 4区 计算机科学
Annals of Telecommunications Pub Date : 2023-06-12 DOI: 10.1007/s12243-023-00966-7
Yuxi Du, Weijia Cui, Fengtong Mei, Chunxiao Jian, Bin Ba
{"title":"Robust adaptive beamforming algorithm for coherent signals based on virtual array","authors":"Yuxi Du,&nbsp;Weijia Cui,&nbsp;Fengtong Mei,&nbsp;Chunxiao Jian,&nbsp;Bin Ba","doi":"10.1007/s12243-023-00966-7","DOIUrl":"10.1007/s12243-023-00966-7","url":null,"abstract":"<div><p>Aiming at the problem of beamforming performance degradation under the coherent signals model, this paper proposes an adaptive beamforming algorithm based on the virtual array. Compared with previous work, the creative construction of virtual arrays in this paper allows the algorithm to ensure strong coherent signal processing and superior output performance with no degradation in coherence capability. The proposed algorithm firstly constructs a virtual array symmetric to the physical array to form a virtual antenna array model; secondly, a full-rank covariance matrix is obtained by matrix reconstruction; then, the direction vector and power of the signals are estimated; finally, the estimated parameters are used to reconstruct the interference plus noise covariance matrix (INCM) and calculate the weight vector. Simulation analysis verifies the superiority of the algorithm and the validity of theoretical analysis.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"78 9-10","pages":"641 - 651"},"PeriodicalIF":1.9,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50475666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Introduction to the special issue: 5+G network energy consumption, energy efficiency and environmental impact 特刊简介：5+G网络能耗、能效与环境影响
IF 1.9 4区 计算机科学
Annals of Telecommunications Pub Date : 2023-06-12 DOI: 10.1007/s12243-023-00967-6
Cédric Ware, Marceau Coupechoux, Ekram Hossain, Carmen Mas-Machuca, Vinod Sharma, Anna Tzanakaki
{"title":"Introduction to the special issue: 5+G network energy consumption, energy efficiency and environmental impact","authors":"Cédric Ware,&nbsp;Marceau Coupechoux,&nbsp;Ekram Hossain,&nbsp;Carmen Mas-Machuca,&nbsp;Vinod Sharma,&nbsp;Anna Tzanakaki","doi":"10.1007/s12243-023-00967-6","DOIUrl":"10.1007/s12243-023-00967-6","url":null,"abstract":"","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"78 5-6","pages":"249 - 251"},"PeriodicalIF":1.9,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50474537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Telephony speech system performance based on the codec effect 基于编解码器效应的电话语音系统性能
IF 1.9 4区 计算机科学
Annals of Telecommunications Pub Date : 2023-05-31 DOI: 10.1007/s12243-023-00968-5
Mohamed Hamidi, Ouissam Zealouk, Hassan Satori
{"title":"Telephony speech system performance based on the codec effect","authors":"Mohamed Hamidi,&nbsp;Ouissam Zealouk,&nbsp;Hassan Satori","doi":"10.1007/s12243-023-00968-5","DOIUrl":"10.1007/s12243-023-00968-5","url":null,"abstract":"<div><h2>Abstract\u0000</h2><div><p>This paper is a part of our contribution to research on the enhancement of network automatic speech recognition system performance. We built a highly configurable platform by using hidden Markov models, Gaussian mixture models, and Mel frequency spectral coefficients, in addition to VoIP G.711-u and GSM codecs. To determine the optimal values for maximum performance, different acoustic models are prepared by varying the hidden Markov models (from 3 to 5) and Gaussian mixture models (8–16-32) with 13 feature extraction coefficients. Additionally, our generated acoustic models are tested by unencoded and encoded speech data based on G.711 and GSM codecs. The best parameterization performance is obtained for 3 HMM, 8–16 GMMs, and G.711 codecs.</p></div></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"78 9-10","pages":"617 - 625"},"PeriodicalIF":1.9,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50529706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信