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Vicente Alarcon-Aquino
Bronze Contributor
7,405 Points

Contributions by role

Author 100
Editor 7,305

Contributions by subject area

Algorithms and Analysis of Algorithms
Artificial Intelligence
Computer Networks and Communications
Data Mining and Machine Learning
Security and Privacy
Cryptography
Data Science
Theory and Formal Methods
Software Engineering
Computer Education
Mobile and Ubiquitous Computing
Neural Networks
Bioinformatics
Distributed and Parallel Computing
Emerging Technologies
Optimization Theory and Computation
Scientific Computing and Simulation
Embedded Computing
Adaptive and Self-Organizing Systems
Agents and Multi-Agent Systems
Internet of Things
Blockchain
Multimedia
Cryptocurrency
Computer Vision
Databases
Network Science and Online Social Networks
Programming Languages
Spatial and Geographic Information Systems
Social Computing
Computational Linguistics
Natural Language and Speech
Text Mining
Sentiment Analysis
Autonomous Systems
Bronze Contributor

Vicente Alarcon-Aquino

PeerJ Editor & Author

Summary

Vicente Alarcon-Aquino received his Ph.D. and D.I.C. degrees in Electrical and Electronic Engineering from Imperial College London, London, U.K. in 2003. He is currently a Professor and former department head in the Department of Computing, Electronics, and Mechatronics at the Universidad de las Americas Puebla, Mexico. In 2017, he spent a short-term research stay as a Visiting Senior Research Fellow in the Department of Informatics at King's College London, UK. He has authored over 180 research articles in several refereed journals and conference proceedings, has written a book on MPLS networks, and has several citations to his research articles. He has served as Guest Editor for the Journal of Universal Computer Science, and is currently acting as an Associate Editor for IEEE Access Journal and as an Academic & Section Editor for PeerJ Computer Science. He is a Senior Member of IEEE, belongs to the Mexican National System of Researchers, and has been elected to membership of the Mexican Academy of Sciences. His current research interests include cybersecurity, network monitoring, anomaly detection, wavelet analysis, and machine learning.

Computer Networks & Communications Data Mining & Machine Learning Internet of Things Neural Networks Security & Privacy

Section Editor

Cryptography, Security and Privacy

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Universidad de las Américas - Puebla
Imperial College London

Work details

Professor

Universidad de las Américas - Puebla
August 1993
Computer Systems and Electronic Engineering
Professor/Researcher in the Department of Computer Systems and Electronic Engineering.

Research Assistant/Lab Demonstrator

Imperial College London
September 1998 - December 2002
Electrical and Electronic Engineering
Research Assistant/Lab Demonstrator in the Department of Electrical and Electronic Engineering

Head of Department

Universidad de las Américas - Puebla
October 2012 - June 2018
Computer Systems and Electronic Engineering
Duties: Leadership to achieve departmental and institutional goals, departmental management, professional development, and good communication skills with faculty members and students.

Identities

@vialaq

Websites

  • Publons
  • Google Scholar
  • Lab
  • LinkedIn

PeerJ Contributions

  • Articles 2
  • Edited 41
July 24, 2024
Real-time path planning for autonomous vehicle off-road driving
Ethery Ramirez-Robles, Oleg Starostenko, Vicente Alarcon-Aquino
https://doi.org/10.7717/peerj-cs.2209
October 19, 2021
Multiresolution dendritic cell algorithm for network anomaly detection
David Limon-Cantu, Vicente Alarcon-Aquino
https://doi.org/10.7717/peerj-cs.749

Academic Editor on

September 8, 2025
SENSH: a blockchain-based searchable encrypted data sharing scheme in smart healthcare
Song Luo, Lihuan Tan, Tan Hu, Maoshuang Hu
https://doi.org/10.7717/peerj-cs.3166
August 29, 2025
Delegated multi-party private set intersections from extendable output functions
Aslı Bay
https://doi.org/10.7717/peerj-cs.3141
August 29, 2025
DDoS attack detection in Edge-IIoT digital twin environment using deep learning approach
Feras Al-Obeidat, Adnan Amin, Ahmed Shuhaiber, Inam ul Haq
https://doi.org/10.7717/peerj-cs.3052
August 8, 2025
A survey of streaming data anomaly detection in network security
Pengju Zhou
https://doi.org/10.7717/peerj-cs.3066
July 31, 2025
SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training
Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li
https://doi.org/10.7717/peerj-cs.3089
May 26, 2025
Enhancing east-west interface security in heterogeneous SDN via blockchain
Hamad Alrashede, Fathy Eassa, Abdullah Marish Ali, Hosam Aljihani, Faisal Albalwy
https://doi.org/10.7717/peerj-cs.2914
May 8, 2025
Machine learning for Internet of Things (IoT) device identification: a comparative study
Hamid Tahaei, Anqi Liu, Hamid Forooghikian, Mehdi Gheisari, Faiz Zaki, Nor Badrul Anuar, Zhaoxi Fang, Longjun Huang
https://doi.org/10.7717/peerj-cs.2873
March 28, 2025
Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis
Raja Waseem Anwar, Mohammad Abrar, Abdu Salam, Faizan Ullah
https://doi.org/10.7717/peerj-cs.2751
January 2, 2025
SAFE-CAST: secure AI-federated enumeration for clustering-based automated surveillance and trust in machine-to-machine communication
Yusuf Kursat Tuncel, Kasım Öztoprak
https://doi.org/10.7717/peerj-cs.2551
December 23, 2024
Machine learning models and dimensionality reduction for improving the Android malware detection
Pablo Morán, Antonio Robles-Gómez, Andres Duque, Llanos Tobarra, Rafael Pastor-Vargas
https://doi.org/10.7717/peerj-cs.2616
November 26, 2024
Classifying software security requirements into confidentiality, integrity, and availability using machine learning approaches
Taghreed Bagies
https://doi.org/10.7717/peerj-cs.2554
November 13, 2024
Implementing federated learning over VPN-based wireless backhaul networks for healthcare systems
Atif Mahmood, Zati Hakim Azizul, Mohammed Zakariah, Samir Brahim Belhaouari, Ayman Altameem, Roziana Ramli, Abdulaziz S. Almazyad, Miss Laiha Mat Kiah, Saaidal Razalli Azzuhri
https://doi.org/10.7717/peerj-cs.2422
November 11, 2024
Leveraging machine learning for the detection of structured interference in Global Navigation Satellite Systems
Imtiaz Nabi, Salma Zainab Farooq, Sunnyaha Saeed, Syed Ali Irtaza, Khurram Shehzad, Mohammad Arif, Inayat Khan, Shafiq Ahmad
https://doi.org/10.7717/peerj-cs.2399
August 23, 2024
Hybrid computing framework security in dynamic offloading for IoT-enabled smart home system
Sheharyar Khan, Zheng Jiangbin, Farhan Ullah, Muhammad Pervez Akhter, Sohrab Khan, Fuad A. Awwad, Emad A.A. Ismail
https://doi.org/10.7717/peerj-cs.2211
July 31, 2024
An anomaly detection model for multivariate time series with anomaly perception
Dong Wei, Wu Sun, Xiaofeng Zou, Dan Ma, Huarong Xu, Panfeng Chen, Chaoshu Yang, Mei Chen, Hui Li
https://doi.org/10.7717/peerj-cs.2172
June 28, 2024
Enhancing fraud detection in auto insurance and credit card transactions: a novel approach integrating CNNs and machine learning algorithms
Ruixing Ming, Osama Abdelrahman, Nisreen Innab, Mohamed Hanafy Kotb Ibrahim
https://doi.org/10.7717/peerj-cs.2088
June 28, 2024
Efficient security level in wireless sensor networks (WSNs) using four-factors authentication over the Internet of Things (IoT)
Albandari Alsumayt, Majid Alshammari, Zeyad M. Alfawaer, Fahd N. Al-Wesabi, Nahla El-Haggar, Sumayh S. Aljameel, Sarah Albassam, Shahad AlGhareeb, Nouf Mohammed Alghamdi, Nawir Aldossary
https://doi.org/10.7717/peerj-cs.2091
June 24, 2024
A novel clustered-based detection method for shilling attack in private environments
Ihsan Gunes
https://doi.org/10.7717/peerj-cs.2137
April 30, 2024
Robust 3D object watermarking scheme using shape features for copyright protection
Sarah M. Alhammad, Nada Ahmed, Safia Abbas, Hussein Abulkasim, Ahmed Elhadad
https://doi.org/10.7717/peerj-cs.2020
April 29, 2024
A novel approach for credit card fraud transaction detection using deep reinforcement learning scheme
Abdul Qayoom, Mansoor Ahmed Khuhro, Kamlesh Kumar, Muhammad Waqas, Umair Saeed, Shafiq ur Rehman, Yadong Wu, Song Wang
https://doi.org/10.7717/peerj-cs.1998
January 16, 2024
Evaluating deep learning variants for cyber-attacks detection and multi-class classification in IoT networks
Sidra Abbas, Imen Bouazzi, Stephen Ojo, Abdullah Al Hejaili, Gabriel Avelino Sampedro, Ahmad Almadhor, Michal Gregus
https://doi.org/10.7717/peerj-cs.1793
January 9, 2024
DDoS attack detection in smart grid network using reconstructive machine learning models
Sardar Shan Ali Naqvi, Yuancheng Li, Muhammad Uzair
https://doi.org/10.7717/peerj-cs.1784
November 17, 2023
Student learning performance prediction based on online behavior: an empirical study during the COVID-19 pandemic
Yiyi Liu, Zijie Huang, Gong Wang
https://doi.org/10.7717/peerj-cs.1699
November 14, 2023
An ensemble approach for imbalanced multiclass malware classification using 1D-CNN
Binayak Panda, Sudhanshu Shekhar Bisoyi, Sidhanta Panigrahy
https://doi.org/10.7717/peerj-cs.1677
November 7, 2023
FedLGAN: a method for anomaly detection and repair of hydrological telemetry data based on federated learning
Zheliang Chen, Xianhan Ni, Huan Li, Xiangjie Kong
https://doi.org/10.7717/peerj-cs.1664
October 10, 2023
CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network
Xiaoyan Zhao, Shaopeng Guan
https://doi.org/10.7717/peerj-cs.1634
October 5, 2023
Membership inference attack on differentially private block coordinate descent
Shazia Riaz, Saqib Ali, Guojun Wang, Muhammad Ahsan Latif, Muhammad Zafar Iqbal
https://doi.org/10.7717/peerj-cs.1616
September 15, 2023
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution
Irshad Ullah, Syed Muhammad Hasanat, Khursheed Aurangzeb, Musaed Alhussein, Muhammad Rizwan, Muhammad Shahid Anwar
https://doi.org/10.7717/peerj-cs.1487
July 10, 2023
An effective digital image watermarking scheme incorporating DCT, DFT and SVD transformations
Justin Varghese, Omer Bin Hussain, Saudia Subash, Abdul Razak T.
https://doi.org/10.7717/peerj-cs.1427
May 16, 2023
Double layer steganography technique using DNA sequences and images
Asia Othman Aljahdali, Omnia Abdullah Al-Harbi
https://doi.org/10.7717/peerj-cs.1379
April 27, 2023
Bee colony remote monitoring based on IoT using ESP-NOW protocol
Armands Kviesis, Vitalijs Komasilovs, Niks Ozols, Aleksejs Zacepins
https://doi.org/10.7717/peerj-cs.1363
February 8, 2023
A systematic hybrid machine learning approach for stress prediction
Cheng Ding, Yuhao Zhang, Ting Ding
https://doi.org/10.7717/peerj-cs.1154
January 25, 2023
A novel approach for Arabic business email classification based on deep learning machines
Aladdin Masri, Muhannad Al-Jabi
https://doi.org/10.7717/peerj-cs.1221
December 16, 2022
Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks
Adrian Carballal, J. Pablo Galego-Carro, Nereida Rodriguez-Fernandez, Carlos Fernandez-Lozano
https://doi.org/10.7717/peerj-cs.1185
September 14, 2022
Empirical mode decomposition using deep learning model for financial market forecasting
Zebin Jin, Yixiao Jin, Zhiyun Chen
https://doi.org/10.7717/peerj-cs.1076
January 27, 2022
Hybrid state analysis with improved firefly optimized linear congestion models of WSNs for DDOS & CRA attacks
K Abdul Basith, T.N. Shankar
https://doi.org/10.7717/peerj-cs.845
September 17, 2021
Research on digital copyright protection based on the hyperledger fabric blockchain network technology
Yanhui Liu, Jianbiao Zhang, Shupei Wu, Muhammad Salman Pathan
https://doi.org/10.7717/peerj-cs.709
September 9, 2021
Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia
Iman Almomani, Mohanned Ahmed, Leandros Maglaras
https://doi.org/10.7717/peerj-cs.703
May 26, 2021
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19
Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, Noortaz Rezoana
https://doi.org/10.7717/peerj-cs.551
April 7, 2021
An ensemble approach based on transformation functions for natural gas price forecasting considering optimal time delays
Faramarz Saghi, Mustafa Jahangoshai Rezaee
https://doi.org/10.7717/peerj-cs.409
March 17, 2021
Detection of malicious consumer interest packet with dynamic threshold values
Adnan Mahmood Qureshi, Nadeem Anjum, Rao Naveed Bin Rais, Masood Ur-Rehman, Amir Qayyum
https://doi.org/10.7717/peerj-cs.435