Browsing KINDI Center for Computing Research by Publisher "Elsevier B.V."
Now showing items 1-10 of 10
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Automated layer-wise solution for ensemble deep randomized feed-forward neural network
( Elsevier B.V. , 2022 , Article)The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the output weights. The ensemble deep learning framework significantly ... -
Context-aware RAON middleware for opportunistic network
( Elsevier B.V. , 2017 , Article)Application development and deployment on Mobile Ad Hoc Networks (MANET) is a major challenge in the widespread use of MANET. The increasing D2D communication in 5G networks has renewed interest in an effective middleware ... -
Enabling broadcast communications in presence of jamming via probabilistic pairing
( Elsevier B.V. , 2017 , Article)This paper presents a thorough analysis of Freedom of Speech (FoS): a lightweight, fully distributed, and probabilistic protocol that assures the delivery of a message to be broadcast notwithstanding the presence of a ... -
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future
( Elsevier B.V. , 2022 , Article)Transfer Optimization has gained a remarkable attention from the Swarm and Evolutionary Computation community in the recent years. It is undeniable that the concepts underlying Transfer Optimization are formulated on solid ... -
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 ... -
A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption
( Elsevier B.V. , 2021 , Article)Data security is a challenge for end-users of cloud services as the users have no control over their data once it is transmitted to the cloud. A potentially corrupt cloud service provider can obtain the end-users’ data. ... -
Secure smart contract-enabled control of battery energy storage systems against cyber-attacks
( Elsevier B.V. , 2019 , Article)Battery Energy Storage Systems (BESSs) are an integral part of a sustainable and resilient smart grid. The security of such critical cyber-physical infrastructure is considered as a major priority for both industry and ... -
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
( Elsevier B.V. , 2022 , Article)6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ... -
Systematic identification of threats in the cloud: A Survey
( Elsevier B.V. , 2019 , Article)When a vulnerability is discovered in a system, some key questions often asked by the security analyst are what threat(s) does it pose, what attacks may exploit it, and which parts of the system it affects. Answers to those ... -
Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm
( Elsevier B.V. , 2022 , Article)To effectively deal with the operating uncertainties of protective relays and circuit breakers existing in the power system faults, an improved fault section diagnosis (FSD) method is proposed by using Takagi–Sugeno fuzzy ...
