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Found 7 papers, 0 papers with code
DeFakePro: Decentralized DeepFake Attacks Detection using ENF Authentication
The similarity in ENF signal fluctuations is utilized in the PoENF algorithm to authenticate the media broadcasted in conferencing tools.
Microchain: a Light Hierarchical Consensus Protocol for IoT System
While the large-scale Internet of Things (IoT) makes many new applications feasible, like Smart Cities, IoT also brings new concerns on data reliability, security, and privacy.
Distributed, Parallel, and Cluster Computing
Microchain: A Hybrid Consensus Mechanism for Lightweight Distributed Ledger for IoT
In this paper, Microchain, based on a hybrid Proof-of-Credit (PoC)-Voting-based Chain Finality (VCF) consensus protocol, is proposed to provide a secure, scalable and lightweight distributed ledger for IoT systems.
Distributed, Parallel, and Cluster Computing
A Federated Capability-based Access Control Mechanism for Internet of Things (IoTs)
Implemented and tested on both resources-constrained devices, like smart sensors and Raspberry PI, and non-resource-constrained devices, like laptops and smart phones, our experimental results demonstrate the feasibility of the proposed FedCAC approach to offer a scalable, lightweight and fine-grained access control solution to IoT systems connected to a system network.
Networking and Internet Architecture
Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNN
Edge computing allows more computing tasks to take place on the decentralized nodes at the edge of networks.
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN
Edge computing efficiently extends the realm of information technology beyond the boundary defined by cloud computing paradigm.
BlendCAC: A BLockchain-ENabled Decentralized Capability-based Access Control for IoTs
The BlendCAC aims at an effective access control processes to devices, services and information in large scale IoT systems.
Networking and Internet Architecture Cryptography and Security Distributed, Parallel, and Cluster Computing
