تصفح Network & Distributed Systems حسب العنوان
السجلات المعروضة 31 -- 50 من 70
-
Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The collaboration of drones and trucks for last-mile delivery has attracted much attention. In this paper, we address a collaborative routing problem of the truck-drone system, in which a truck collaborates with multiple ... -
Improved Handshaking Procedures for Transport Layer Security in Software Defined Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Software defined networking (SDN) has emerged as a new technology to enhance the flexibility, resilience, and automated centralized management of a network. Recently several reports have identified possible vulnerabilities, ... -
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
( National Science Foundation , 2022 , Other)Artificial Intelligence (Al) and its data-centric branch of machine learning (ML) have greatly evolved over the last few decades. However, as Al is used increasingly in real world use cases, the importance of the ... -
Intrusion Detection System for Healthcare Systems Using Medical and Network Data: A Comparison Study
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Introducing IoT systems to healthcare applications has made it possible to remotely monitor patients' information and provide proper diagnostics whenever needed. However, providing high-security features that guarantee the ... -
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
( Elsevier Ltd , 2022 , Article)Randomized neural networks have become more and more attractive recently since they use closed-form solutions for parameter training instead of gradient-based approaches. Among them, the random vector functional link network ... -
Machine learning for the security of healthcare systems based on Internet of Things and edge computing
( Elsevier , 2022 , Book chapter)Using the Internet of Medical Things (IoMT) for treatment and diagnosis has exponentially grown due to its diverse use cases and efficient planning with defined resources. IoMT in the e-healthcare system enables continuous ... -
Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey
( Elsevier , 2024 , Article)Mobile devices have become an essential element in our day-to-day lives. The chances of mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting vulnerabilities from devices as well as ... -
Minimizing energy consumption of IoT devices for O-RAN based IoT systems
( Elsevier , 2023 , Article)The implementation of Open Radio Access Network (O-RAN) architecture in Internet of Things (IoT) systems has garnered significant attention as a means to fulfill the stringent requirements of ultra-low latency and ultra-low ... -
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)A teacher in a school plays significant role in classroom while teaching the students. Similarly, learning via privileged information (LUPI) gives extra information generated by a teacher to 'teach' the learning algorithm ... -
Multi-moth flame optimization for solving the link prediction problem in complex networks
( Springer Verlag , 2019 , Article)Providing a solution for the link prediction problem attracts several computer science fields and becomes a popular challenge in researches. This challenge is presented by introducing several approaches keen to provide the ... -
Oblique and rotation double random forest
( Elsevier Ltd , 2022 , Article)Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among them are the ensemble models’ core strength. ... -
Policy specification and verification for blockchain and smart contracts in 5G networks
( Korean Institute of Communications Information Sciences , 2020 , Article)Blockchain offers unprecedented opportunities for innovation in financial transactions. A whole new world of opportunities for banking, lending, insurance, money transfer, investments, and stock markets awaits. However, ... -
Preface
( Institute of Physics , 2022 , Other)2022 2nd International Conference on Electron Devices and Applications was held virtually during May 13-15, 2022 via Zoom platform due to the pandemic of COVID-19. With a satisfactory ending of ICEDA 2021, ICEDA 2022 has ... -
A privacy-preserving handover authentication protocol for a group of MTC devices in 5G networks
( Elsevier Ltd , 2022 , Article)Machine Type Communication (MTC) has been emerging for a wide range of applications and services for the Internet of Things (IoT). In some scenarios, a large group of MTC devices (MTCDs) may enter the communication coverage ... -
PriviPK: Certificate-less and secure email communication
( Elsevier Ltd , 2017 , Article)We introduce PriviPK, an infrastructure that is based on a novel combination of certificateless (CL) cryptography and key transparency techniques to enable e2e email encryption. Our design avoids (1) key escrow and deployment ... -
Quantifying Satisfaction of Security Requirements of Cloud Software Systems
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The satisfaction of a software requirement is commonly stated as a Boolean value, that is, a security requirement is either satisfied (true) or not (false). However, a discrete Boolean value to measure the satisfaction ... -
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
( Elsevier Ltd , 2022 , Article)Electric load forecasting is essential for the planning and maintenance of power systems. However, its un-stationary and non-linear properties impose significant difficulties in predicting future demand. This paper proposes ... -
Real-time cooperative data routing and scheduling in software defined vehicular networks
( Elsevier B.V. , 2022 , Article)Links in vehicular networks are highly dynamic and generally exist only for a limited amount of time. Moreover, data packets are generally transmitted over multiple hops and have diverse latency requirements. The above ... -
Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The rapid evolutions in microcomputing, mini-hardware manufacturing, and machine-to-machine (M2M) communications have enabled novel Internet-of-Things (IoT) solutions to reshape many networking applications. Healthcare ... -
Representation learning using deep random vector functional link networks for clustering: Representation learning using deep RVFL for clustering
( Elsevier Ltd , 2022 , Article)Random Vector Functional Link (RVFL) Networks have received a lot of attention due to the fast training speed as the non-iterative solution characteristic. Currently, the main research direction of RVFLs has supervised ...