Article
Computer Science, Information Systems
Arodh Lal Karn, Sudhakar Sengan, Denis A. Pustokhin, Irina Pustokhina
Summary: Access Control Models (ACM) are crucial for securing communication systems in the Internet of Vehicles (IoV) under cloud computing architecture, but face challenges in determining permission granularity and addressing vulnerabilities. To improve efficiency, a Dynamic Access system based on the AdaBoost model is proposed, transforming ACM challenges into a Binary Classification Problem (BCP) and achieving better permission decision accuracy in IoV environments.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Engineering, Civil
Kai Lin, Chensi Li, Yihui Li, Claudio Savaglio, Giancarlo Fortino
Summary: This article addresses the issue of traffic congestion by introducing cloud centralized computing and distributed multi-agent reinforcement learning model to build a new architecture based on edge intelligence in software defined Internet of Vehicles. A distributed-learning-based vehicle routing decision algorithm (DLRD) is proposed to adaptively adjust vehicle routing online and successfully alleviate traffic congestion.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Civil
Neetesh Kumar, Rashmi Chaudhry, Omprakash Kaiwartya, Neeraj Kumar, Syed Hassan Ahmed
Summary: The Social Internet of Vehicles (SIoV) is a framework that integrates smart devices with vehicular communications, focusing on green traffic data dissemination under disruptive vehicular environments. A meta-heuristic solution called Two-Way Particle Swarm Optimization (TWPSO) is proposed for this problem, and extensive simulation experiments demonstrate its advantages in real SIoV environments.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Amit Nayyer, Aman Kumar Sharma, Lalit Kumar Awasthi
Summary: Software Defined Network is an emerging paradigm that separates the control plane from the forwarding plane for manageability and configuration. Routing management in this paradigm deals with specific issues, and reinforcement learning can improve network routing efficiency, with significant improvements achieved in message generation compared to existing solutions.
Article
Computer Science, Artificial Intelligence
Murtaza Cicioglu, Ali Calhan
Summary: Software-defined networking (SDN) is a flexible paradigm that provides isolation of control and data planes, proposes control mechanisms and network programmability, and offers new solutions to traditional network infrastructure issues. In wireless communication, SDN offers hardware and vendor-independent software for routing protocols. This study proposes a machine learning-assisted routing algorithm for software-defined wireless networks, which uses historical network parameters to make real-time routing decisions and achieves better performance compared to the traditional Dijkstra algorithm.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Hongsheng Li, Amjad Osmani, Amira Sayed A. Aziz
Summary: This paper introduces FRLR, a fast and efficient routing algorithm based on fuzzy systems, which guarantees QoS requirements and provides high-quality and fast communication in SDN. It effectively solves the dynamic routing problem in SDN and brings significant improvements in scalability and throughput.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Niloy Saha, Samaresh Bera, Sudip Misra
Summary: This paper proposes a traffic-aware QoS routing scheme in SDN-based IoT networks, utilizing both delay-sensitive and loss-sensitive routing strategies to maximize network performance. By employing a greedy algorithm to compute optimal forwarding paths and deploying flow rules at forwarding devices, the proposed scheme significantly reduces end-to-end delay and QoS violations. Extensive simulations demonstrate the scheme's effectiveness in satisfying QoS requirements for different types of flows, outperforming existing schemes in terms of reducing QoS violations.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Telecommunications
Changqian Wu, Yulin Zhang, Na Li, Amin Rezaeipanah
Summary: The research society has recognized the growing need for providing video conferencing services through Software-Defined Networking (SDN), as it consumes significant network bandwidth. However, SDN can improve network performance and Quality of Service (QoS) by flexible mechanisms and adopting cheaper switches. The combination of SDN and fuzzy logic can provide a global perspective of traffic engineering to deal with these problems.
TELECOMMUNICATION SYSTEMS
(2023)
Article
Engineering, Civil
Chuan Lin, Guangjie Han, Jiaxin Du, Tiantian Xu, Yan Peng
Summary: This article addresses the challenges faced by Internet of Vehicles due to the high-speed mobility features of nodes in vehicular networks, proposing an adaptive traffic engineering mechanism based on active network measurement and artificial bee colony algorithm to achieve optimal data forwarding path adaptive switching. The results demonstrate that the proposed approach outperforms recent research outcomes in terms of reliable data forwarding.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
F. Fernando Jurado-Lasso, Ken Clarke, Andres Navarro Cadavid, Ampalavanapillai Nirmalathas
Summary: This paper proposes an energy-aware routing algorithm and a control overhead reduction technique for software-defined multihop wireless sensor networks to prolong network lifetime. By leveraging a global view to balance network energy and optimizing key functions, the proposed approach effectively extends network lifetime and reduces control overhead.
IEEE SENSORS JOURNAL
(2021)
Review
Computer Science, Information Systems
Abdijalil Abdullahi, Selvakumar Manickam, Shankar Karuppayah
Summary: This paper discusses the development of Internet Exchange Points (IXPs) and solutions related to Software-Defined Networking (SDN), proposing the transformation of traditional IXP designs into highly scalable SDX designs and discussing the improvement of scalability for IXP operators.
Article
Engineering, Multidisciplinary
Habib Mostafaei, Davinder Kumar, Gabriele Lospoto, Marco Chiesa, Giuseppe Di Battista
Summary: This paper proposes DeSI, which applies SDN to IXPs and designs an SDN-enabled IXP architecture to address issues such as privacy, scalability, and separation of concerns.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Information Systems
Muhammad Usman Younus, Muhammad Khurram Khan, Abdul Rauf Bhatti
Summary: Software-defined networking (SDN) is a flexible architecture that decouples the control plane and data plane to enable efficient network management. This article proposes using reinforcement learning (RL) to optimize the routing path of SDWSN and demonstrates the advantages of RL in terms of network lifetime and packet delivery ratio through experimental comparisons.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Salem Alkhalaf, Fahad Alturise
Summary: Software-defined network (SDN) is a new network architecture that offers programmability, ease of use, centralized control, and protocol independence. This paper proposes a novel algorithm based on reinforcement learning to effectively optimize routing for SDN. The experimental results demonstrate that the proposed method outperforms existing algorithms in terms of performance and stability.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Review
Computer Science, Information Systems
Mohammad Hassan, Mark A. Gregory, Shuo Li
Summary: The global growth of the Internet is increasing in terms of accessibility, connected users, and applications in emerging fields like eGames, augmented reality, and virtual reality. There is a need to develop new mechanisms for sharing reachability and routing information in order to sustain the growth and new applications. Software Defined Networking (SDN) is being introduced to address control and management challenges across domains. This paper reviews the current state of domain federation and discusses potential approaches that utilize SDN for a next-generation solution.
Article
Computer Science, Theory & Methods
Deepak Adhikari, Wei Jiang, Jinyu Zhan, Zhiyuan He, Danda B. Rawat, Uwe Aickelin, Hadi A. Khorshidi
Summary: The Internet of Things (IoT) relies on smart sensors, communication technologies, and Internet protocols to enable various applications. However, dealing with missing data in IoT datasets poses challenges for collecting and generating information. This survey provides a comprehensive overview of research on imputation techniques for handling incomplete data in IoT. It discusses strategies, assumptions, computing platforms, and application areas for imputation. The survey aims to promote the use of known imputation techniques and stimulate further research in this field.
ACM COMPUTING SURVEYS
(2023)
Article
Computer Science, Information Systems
Ali Safaa Sadiq, Amin Abdollahi Dehkordi, Seyedali Mirjalili, Jingwei Too, Prashant Pillai
Summary: This article focuses on developing a new trustworthy and efficient routing mechanism for routing data traffic over IoT-FinTech mobile networks. A new nonlinear Levy Brownian generalized normal distribution optimization (NLBGNDO) algorithm is proposed to solve the problem of finding an optimal path from source to destination sensor nodes. The proposed mechanism maintains wise and efficient decisions over the selection period in comparison with other methods.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Editorial Material
Computer Science, Hardware & Architecture
Sahil Garg, Jia Hu, Giancarlo Fortino, Laurence T. Yang, Mohsen Guizani, Xianjun Deng, Danda B. Rawat
Editorial Material
Engineering, Civil
Ali Kashif Bashir, Danda B. Rawat, Jun Wu, Muhammad Ali Imran
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Editorial Material
Computer Science, Information Systems
Varun G. Menon, Mainak Adhikari, Jude Hemanth, Danda. B. Rawat
Summary: The papers in this special issue discuss advanced wearable sensor technologies for monitoring and predicting diseases. Seamless integration of these sensors with smart healthcare infrastructure enables remote monitoring of patients' health parameters. Advanced sensor technologies allow for various smart healthcare applications such as diagnosing patients, forecasting health symptoms, predicting and analyzing diseases, and ontology-based recommendation. The advancement in wearable sensors, communication technologies, and AI-enabled algorithms contribute to efficient analysis and disease prediction.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Review
Computer Science, Interdisciplinary Applications
Olusola Adeniyi, Ali Safaa Sadiq, Prashant Pillai, Mohammed Adam Taheir, Omprakash Kaiwartya
Summary: The widespread use of technology has created a need for more advanced communication infrastructure, leading to the emergence of multi-access edge computing (MEC) as a solution. This paper focuses on proactive self-healing approaches in MEC environments and conducts a systematic literature review to identify and synthesize related studies. The review results highlight edge resource management methods, self-healing methods, and challenges in MEC, such as task offloading decisions, resource allocation, and security issues.
Article
Engineering, Civil
Gunasekaran Manogaran, Reham Alsabet, Aashma Uprety, Danda B. Rawat
Summary: This article proposes a Graph-Transient Security Method (GTSM) to improve the cybersecurity features of Intelligent Transportation Systems (ITS). The method uses a trusted graph model to identify reliable infrastructure and neighboring units in communication, which helps enhance the network's security.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Sunitha Safavat, Danda B. Rawat
Summary: In this article, a novel improved multinomial recurrent neural network (MRNN) classifier and Caesar combined key-based elliptic curve cryptography (2CK-ECC) algorithm are proposed to predict the vehicular mobility, security, and content caching for the Internet of Vehicles (IoV). Through steps including vehicle registration, login and authentication, mobility prediction, vehicle clustering, relay vehicle (RV) selection, data chunking and saving in cache memory, and secure data transmission using the 2CK-ECC algorithm, the proposed technique demonstrates better performance than existing baseline approaches.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Mohammad Tubishat, Feras Al-Obeidat, Ali Safaa Sadiq, Seyedali Mirjalili
Summary: This paper introduces a novel approach to spam email detection by enhancing the Dandelion Optimizer algorithm. The authors propose a new local search algorithm and a reduction equation to improve the algorithm's performance in high-dimensional problems. They evaluate the improved algorithm using the Spam base dataset and compare it to other popular algorithms, showing superior performance in various metrics. The paper highlights the significant advancement made in the Improved DO algorithm and its potential for solving high-dimensional optimization problems.
Article
Engineering, Civil
Qiankun Li, Xianwang Yu, Junxin Chen, Ben-Guo He, Wei Wang, Danda B. Rawat, Zhihan Lyu
Summary: In this work, a Polynomial Global Attention Network (PGA-Net) is proposed for lane detection, which can mine global road information and predict lane shape parameter formulas simultaneously. The lane shape is modeled using a cubic polynomial function, and the transformer-based DETR model is used to introduce context information for better regression of lane parameters. The method achieves state-of-the-art performance on popular benchmarks (TuSimple and LLAMAS) and a challenging benchmark (CULane), while also demonstrating accelerated speed and lightweight model size.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Aakriti Bajracharya, Barron Harvey, Danda B. Rawat
Summary: Cybersecurity issues have been receiving continuous attention from financial institutions and regulatory bodies, with cyberattacks escalating after the pandemic. Despite strong layered defenses, adversaries are determined to exploit new vulnerabilities, resulting in significant losses for the financial service industry. This paper analyzes the current state of cybersecurity risks and provides an extensive overview of evolving cybersecurity and fraud detection practices. It reviews new challenges in effective cybersecurity measures and financial fraud detection, and proposes potential directions for intelligent solutions against cyberattacks.
2023 IEEE 13TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE, CCWC
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Sunitha Safavat, Danda B. Rawat
Summary: In this paper, an effective vehicle scheduling method centered on CD-SBO and X-CNN is proposed to leverage the computation abilities of vehicles' cache memory in vehicular networks. The method clusters vehicles using the KLD-KMA model, balances vehicle requests using the CD-SBO algorithm, transfers optimized requests to the cloud server through the gateway and SDN, extracts features from decomposed data and schedules vehicles using X-CNN classifier, and efficiently forwards results to targeted vehicles.
2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Salomon Satche, Danda B. Rawat
Summary: In this paper, a method is proposed to determine the link performance of vehicle mobility and antenna orientation in the THz band. The Von Mises-Fisher method is used to find the PDF of vehicle movement, treating it as a 3-D oriented random walk, and the Cauchy PDF is used to find the joint distribution of diffusion coefficient and number of turns during the random walk. These PDFs are useful in analyzing two specific performances of the vehicular network link at the vehicle behavioral level. The performances are analyzed as a function of speeds and compared to existing approaches, providing improved trigger points for beam hand-off.
2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC
(2023)
Review
Computer Science, Information Systems
Abbas M. Al-Ghaili, Saraswathy Shamini Gunasekaran, Norziana Jamil, Zaid Abdi Alkareem Alyasseri, Naif Mohammed Al-Hada, Zul-Azri Bin Ibrahim, Asmidar Abu Bakar, Hairoladenan Kasim, Eghbal Hosseini, Ridha Omar, Rafiziana Md. Kasmani, Rina Azlin Razali
Summary: This article aims to survey and review recently published papers and research studies that use image processing techniques to enhance security and privacy in IoT applications. It provides insights on the role of image processing in improving the security of IoT applications and highlights the techniques applied for this purpose.
Proceedings Paper
Computer Science, Artificial Intelligence
Mikel K. Ngueajio, Gloria Washington, Danda B. Rawat, Yolande Ngueabou
Summary: This research provides a comprehensive survey of intrusion detection techniques that utilize Support Vector Machines (SVMs) algorithms as classifiers. The study focuses on evaluations performed on the widely used KDDCUP'99 and NSL-KDD datasets and includes summaries of each method, as well as critical reviews highlighting their performance measures, strengths, and limitations.
INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 2
(2023)
