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A novel machine learning approach for detecting first-time-appeared malware

Anti-phishing: A comprehensive perspective

NDN-RBE: An Accountable Privacy Aware Access Control Framework For NDN

Securely sharing outsourced IoT data: A secure access and privacy preserving keyword search scheme

Security challenges when space merges with cyberspace

Techniques for enhancing security in industrial control systems

A Novel Deep Learning-Based Approach for Malware Detection

A trust-aware openflow switching framework for software defined networks (SDN)

Attacks against Federated Learning Defense Systems and their Mitigation

Consensus of networked control multi-agent systems using a double-layer encryption scheme

Targeted Context-Based Attacks on Trust Management Systems in IoT

A Novel Method for Improving the Robustness of Deep Learning-Based Malware Detectors Against Adversarial Attacks

A Role-Based Encryption (RBE) Scheme for Securing Outsourced Cloud Data in a Multi-Organization Context

Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification

Implementation of Techniques for Enhancing Security of Southbound Infrastructure in SDN

Output feedback stabilization of large-scale networked cyberphysical systems using cryptographic techniques

SDPM: a secure smart device provisioning and monitoring service architecture for smart network infrastructure

Toward a Trust Aware Network Slice-Based Service Provision in Virtualized Infrastructures

A novel secure observer-based controller and attack detection scheme for Networked Control Systems

A secure access and accountability framework for provisioning services in Named Data Networks

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