Article
Computer Science, Information Systems
Mehedi Masud, Gurjot Singh Gaba, Pardeep Kumar, Andrei Gurtov
Summary: Ambient Intelligence (AmI) in Internet of Things (IoT) has enabled remote monitoring, diagnosis, and treatment in healthcare, improving patient engagement and satisfaction. However, current healthcare applications face security and resource efficiency challenges. This paper presents a computationally-inexpensive privacy-assuring authentication protocol for AmI-IoT healthcare applications, utilizing blockchain and fog computing to ensure security and efficiency.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Fengxian Guo, F. Richard Yu, Heli Zhang, Xi Li, Hong Ji, Victor C. M. Leung
Summary: The article provides a comprehensive survey on 6G-enabled massive IoT, covering the drivers and requirements, visions of 6G, new network architecture, and breakthrough technologies.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Ke Wang, Peng Xu, Chien-Ming Chen, Saru Kumari, Mohammad Shojafar, Mamoun Alazab
Summary: The article proposes an automatic method for searching robust and efficient neural network structures for AIoT systems by introducing skip connection structure, relaxing dense connected search space, and utilizing multiobjective gradient optimization method with adversarial training and model delay constraints. Experimental results show the effectiveness of the proposed method for AIoT systems compared to current state-of-the-art neural architecture search algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Fanqin Zhou, Lei Feng, Peng Yu, Wenjing Li, Xiaoyu Que, Luoming Meng
Summary: Vehicle-to-everything communication is essential for future transportation systems. This article proposes a massive vehicular Internet-of-Things system that utilizes multiagent deep reinforcement learning to enable vehicles to decide the transmission mode for optimal communication performance.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Wajid Rafique, Abdelhakim Senhaji Hafid, Soumaya Cherkaoui
Summary: This article presents the concept of software-defined information-centric Internet of Things (SDIC-IoT) as a solution for IoT service provisioning by integrating software-defined networking (SDN) and information-centric networking (ICN). It discusses the key technologies, architecture, and benefits of SDIC-IoT for different aspects of IoT services. The article also explores various use cases, synergies, and advancements of SDIC-IoT, and presents the current challenges and future research directions for IoT service provisioning using SDIC-IoT.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Zhihan Lv, Ranran Lou, Jinhua Li, Amit Kumar Singh, Houbing Song
Summary: The research aims to improve the data analysis efficiency and access performance of large-scale IoT devices through big data analysis technology, and enhance system performance through node priorities and local data utilization. In addition, 6G technology and interference thresholds have a significant impact on the energy efficiency of data transmission.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Qian Wang, Brian Lee, Niall Murray, Yuansong Qiao
Summary: This article proposes an information-centric networking-based solution and corresponding protocols to provide exactly once computation for collaborative edge computing in IoT. It ensures the accuracy of data processing and delivery and allows for dynamic changes to the job execution graph in case of link failures.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Abdulsalam S. Albulayhi, Ibrahim S. Alsukayti
Summary: The exponential growth of the Internet of Things (IoT) has led to complex and hard to manage data communications. The centralized model is ineffective and insecure. Blockchain technology provides a potential solution for secure and effective management of IoT data communication. A lightweight blockchain-centric IoT architecture is proposed using a smart contract-based publish/subscribe model to address effective IoT data communication management.
Review
Computer Science, Hardware & Architecture
Hisham Al-Ward, Chee Keong Tan, Wern Han Lim
Summary: The Information-Centric Internet-of-Things (IC-IoT) connects billions of devices to the Internet, leading to massive data generation, which poses a challenge to the network. Traditional caching solutions are ineffective for IoT-produced content due to its transient nature, prompting research into developing caching solutions for transient IC-IoT data.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Cenk Guendogan, Peter Kietzmann, Thomas C. Schmidt, Matthias Waehlisch
Summary: The research focuses on the interaction between possibly mobile sensors and actuators in constrained IoT environments. It argues that the request-driven networking paradigm can limit the attack surface and that unsolicited link-local signaling can accelerate responses.
Article
Telecommunications
Kai Qian, Yinqiu Liu, Chaoran Shu, Yanfei Sun, Kun Wang
Summary: For 6G-empowered IoT, blockchain is considered fundamental for addressing security and privacy issues, but current blockchains have flaws in performance and scalability. To optimize these blockchains, a standard benchmarking tool is needed, and targeted optimization strategies should be designed. This paper presents a novel pipeline for green IoT-oriented blockchains in 6G era, including a benchmarking framework and targeted optimization mechanisms. The pipeline is applied to IOTA and successfully addresses its issues.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Chemistry, Multidisciplinary
Bei Liu, Jie Luo, Xin Su
Summary: The increasing number of device connections is transforming IoT into massive IoT, with diverse application scenarios. 6G networks with endogenous intelligence are expected to better support massive IoT scenarios. The proposed framework of 6G self-evolving networks and autonomous decision-making methods are introduced to address different service requirements.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Subhi M. Alrubei, Edward Ball, Jonathan M. Rigelsford
Summary: This article presents a distributed and decentralized architecture for implementing distributed artificial intelligence (DAI) using IoT hardware platforms. The DAI system utilizes a decentralized, self-managed blockchain technology to allow trusted interactions between distributed neurons. The proposed architecture has been analyzed, implemented, and tested using low-cost IoT devices, demonstrating the feasibility of implementing DAI while maintaining system accuracy. The integration of blockchain adds security and trust to the system.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Telecommunications
Yufei An, Ying He, F. Richard Yu, Jianqiang Li, Jianyong Chen, Victor C. M. Leung
Summary: This paper designs a new anomaly detection architecture based on the concept of the Internet of intelligence and proposes a novel method for detecting abnormal HTTP traffic in IoT. Simulation results show that the proposed architecture and method can enhance the detection performance of abnormal HTTP traffic in IoT.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2022)
Article
Computer Science, Artificial Intelligence
Hongling Liu, Yuqiang Chen
Summary: This paper highlights the importance of using blockchain technology in the Internet of Things manufacturing. It proposes a blockchain architecture that divides the traditional blockchain into private and public parts, reducing space and network costs. Each workshop maintains its own private blockchain, while the cloud manages the public blockchain, minimizing communication between nodes. Experimental results show that this architecture effectively predicts the space cost of node expansion and reduces network communication overhead.
Article
Telecommunications
Sohail Sarwar, Saad Zia, Zia ul Qayyum, Muddesar Igbal, Muhammad Safyan, Shahid Mumtaz, Raul Garcia-Castro, Konstantin Kostromitin
Summary: This study proposes a dynamic and adaptive machine learning technique called D-CHAITs for driver categorization. By modeling driver attributes, this technique aims to categorize drivers based on their profiles. Comparative analysis demonstrates that D-CHAIT outperforms other techniques. The novelty of this technique lies in its preprocessing of feature attributes, data quality, training on relevant data, and adaptivity.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Engineering, Multidisciplinary
Muhammad Khurram Ehsan, Asghar Ali Shah, Muhammad Rizwan Amirzada, Neelma Naz, Kostromitin Konstantin, Muhammad Sajid, Asad Raza Gardezi
Summary: The CR-enabled radio environment provides a seamless operating framework to meet the requirements of next-generation wireless systems. Traffic characterization studies help optimize the coexistence framework, and the multivariate Gaussian mixture model (MGMM) is proposed in both scenarios for sparse WLAN data traffic.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Computer Science, Information Systems
Douglas H. Silva, Erick G. Maziero, Muhammad Saadi, Renata L. Rosa, Juan C. Silva, Demostenes Z. Rodriguez, Kostromitin K. Igorevich
Summary: Industrial and academic organizations are utilizing online social networks for various purposes, with researchers using sentiment analysis and data mining to evaluate user-generated content. This study constructed a novel dataset of 160,000 Twitter users' writing characteristics and applied Machine Learning techniques to create classification models, demonstrating that Random Forest, XGBoost, and Decision Tree algorithms achieved the best performance results. The proposed multidimensional learning technique using Classifier Chain transformation overcame similar proposals, with all algorithms reaching the same F1 micro-average value of 0.976 in testing.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Xuan Chen, Miaowen Wen, Chan-Byoung Chae, Lie-Liang Yang, Fei Ji, Kostromitin Konstantin Igorevich
Summary: The article discusses the optimization issues of multi-user molecular communication systems in the Internet of Bio-Nano Things, proposing a novel multiuser MC system based on molecular division multiple access technology. The study focuses on user fairness, introducing two types of molecule allocation strategies, and analyzing two-user and three-user scenarios to show that the new combination strategy outperforms benchmarks in terms of performance.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Civil
Zhiquan Liu, Jingjing Guo, Feiran Huang, Donghong Cai, Yongdong Wu, Xin Chen, Kostromitin Konstantin Igorevich
Summary: This paper proposes a Lightweight Trust-worthy Message Exchange (LTME) scheme for UAV networks to address the security issues in message exchange. By integrating cryptography and trust management technologies, the scheme can provide rich functionality and strong robustness with low computation and communication overheads.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Mathematics
Konstantin Kostromitin, Konstantin Melnikov, Dar'ya Nikonova
Summary: This work presents a mathematical model of a fast-acting single-layer artificial neural network used for image reconstruction after noise. The algorithm was implemented in Python and C++ for research purposes. Numerical simulation was conducted to study the recovery efficiency of the neural network for different noise factors, the number of samples required for training, and the dimensionality of the coupling coefficients, w. The study of the mathematical model of this neural network allows for identifying its essence, reducing the number of operations needed for recovering a single element, and improving recovery accuracy by changing the order of calculation of coupling coefficients, w.
Proceedings Paper
Engineering, Industrial
K. Kostromitin, B. N. Dokuchaev, A. Skorobogatov
2020 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM)
(2020)
Proceedings Paper
Engineering, Industrial
Konstantin Kostromitin, Roman S. Khaliullin, Alexei Skorobogatov
2020 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM)
(2020)
Article
Computer Science, Information Systems
Yongxin Zhang, Peng Zhao, Deguang Li, Kostromitin Konstantin
Article
Engineering, Multidisciplinary
Jianing Chen, Jun Wu, Haoran Liang, Shahid Mumtaz, Jianhua Li, Kostromitin Konstantin, Ali Kashif Bashir, Raheel Nawaz
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2020)
Article
Computer Science, Information Systems
Ahmad Naseem Alvi, Sangrez Khan, Muhammad Awais Javed, Kostromitin Konstantin, Alaa Omran Almagrabi, Ali Kashif Bashir, Raheel Nawaz
Article
Optics
Arslan Khalid, Hafiz Muhammad Asif, Konstantin Kostromitin, Sattam Al-Otaibi, Kazi Mohammed Saidul Huq, Jonathan Rodriguez
Article
Computer Science, Information Systems
Arslan Khalid, Hafiz M. Asif, Shahid Mumtaz, Sattam Al Otaibi, Kostromitin Konstantin
Proceedings Paper
Engineering, Industrial
K. I. Kostromitin, B. N. Dokuchaev, A. V. Skorobogatov
2018 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM)
(2018)
