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Advances in Cyber Security: Third International Conference, ACeS 2021, Penang, Malaysia, August 24-25, 2021, Revised Selected Papers

1st Edition 2021, 2021

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Advances in Cyber Security: Second International Conference, ACeS 2020, Penang, Malaysia, December 8-9, 2020, Revised Selected Papers

1, 2021

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Advances in Cyber Security: First International Conference, ACeS 2019, Penang, Malaysia, July 30 - August 1, 2019, Revised Selected Papers

1st ed. 2020., 2020

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Approach for Detecting Attacks on IoT Networks Based on Ensemble Feature Selection and Deep Learning Models

Sensors (Basel, Switzerland), 2023-08, Vol.23 (17), p.7342

2023

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Energy efficient multi-hop path in wireless sensor networks using an enhanced genetic algorithm

Information sciences, 2019-10, Vol.500, p.259-273

2019

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Meta-Learner-Based Approach for Detecting Attacks on Internet of Things Networks

Sensors (Basel, Switzerland), 2023-09, Vol.23 (19), p.8191

2023

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Flow Management Mechanism in Software-Defined Network

Computers, materials & continua, 2022-01, Vol.70 (1), p.1437-1459

2022

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CNN-CNN: Dual Convolutional Neural Network Approach for Feature Selection and Attack Detection on Internet of Things Networks

Sensors (Basel, Switzerland), 2023-07, Vol.23 (14), p.6507

2023

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ICMPv6-Based DoS and DDoS Attacks Detection Using Machine Learning Techniques, Open Challenges, and Blockchain Applicability: A Review

IEEE access, 2020, Vol.8, p.170529-170547

2020

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Efficient Route Discovery and Link Failure Detection Mechanisms for Source Routing Protocol in Mobile Ad-Hoc Networks

IEEE access, 2020, Vol.8, p.24019-24032

2020

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A Secure Pseudonym-Based Conditional Privacy-Preservation Authentication Scheme in Vehicular Ad Hoc Networks

Sensors (Basel, Switzerland), 2022-02, Vol.22 (5), p.1696

2022

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Conditional Tabular Generative Adversarial Based Intrusion Detection System for Detecting Ddos and Dos Attacks on the Internet of Things Networks

Sensors (Basel, Switzerland), 2023-06, Vol.23 (12), p.5644

2023

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A Systematic Literature Review on Machine Learning and Deep Learning Approaches for Detecting DDoS Attacks in Software-Defined Networking

Sensors (Basel, Switzerland), 2023-05, Vol.23 (9), p.4441

2023

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SE-CPPA: A Secure and Efficient Conditional Privacy-Preserving Authentication Scheme in Vehicular Ad-Hoc Networks

Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8206

2021

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HLD-DDoSDN: High and low-rates dataset-based DDoS attacks against SDN

PloS one, 2024-02, Vol.19 (2), p.e0297548-e0297548

2024

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A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of Things

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3400

2022

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Impact of coronavirus pandemic crisis on technologies and cloud computing applications

Journal of Electronic Science and Technology, 2021-03, Vol.19 (1), p.100059-40, Article 100059

2021

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Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner

Sensors (Basel, Switzerland), 2023-04, Vol.23 (7), p.3736

2023

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An Efficient Identity-Based Conditional Privacy-Preserving Authentication Scheme for Secure Communication in a Vehicular Ad Hoc Network

Symmetry (Basel), 2020-10, Vol.12 (10), p.1687

2020

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Towards Identity-Based Conditional Privacy-Preserving Authentication Scheme for Vehicular Ad Hoc Networks

IEEE access, 2021, Vol.9, p.113226-113238

2021

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Labeled flow-based dataset of ICMPv6-based DDoS attacks

Neural computing & applications, 2019-08, Vol.31 (8), p.3629-3646

2019

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VPPCS: VANET-Based Privacy-Preserving Communication Scheme

IEEE access, 2020-01, Vol.8, p.1-1

2020

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DAD-match; Security technique to prevent denial of service attack on duplicate address detection process in IPv6 link-local network

PloS one, 2019-04, Vol.14 (4), p.e0214518-e0214518

2019

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ETH-PSD: A MACHINE LEARNING-BASED PHISHING SCAM DETECTION APPROACH IN ETHEREUM

IEEE access, 2022, Vol.10, p.1-1

2022

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Mechanism to prevent the abuse of IPv6 fragmentation in OpenFlow networks

PloS one, 2020-05, Vol.15 (5), p.e0232574-e0232574

2020

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Advances in Cyber Security: Third International Conference, ACeS 2021, Penang, Malaysia, August 24-25, 2021, Revised Selected Papers

Advances in Cyber Security: Second International Conference, ACeS 2020, Penang, Malaysia, December 8-9, 2020, Revised Selected Papers

Advances in Cyber Security: First International Conference, ACeS 2019, Penang, Malaysia, July 30 - August 1, 2019, Revised Selected Papers

Approach for Detecting Attacks on IoT Networks Based on Ensemble Feature Selection and Deep Learning Models

Energy efficient multi-hop path in wireless sensor networks using an enhanced genetic algorithm

Meta-Learner-Based Approach for Detecting Attacks on Internet of Things Networks

Flow Management Mechanism in Software-Defined Network

CNN-CNN: Dual Convolutional Neural Network Approach for Feature Selection and Attack Detection on Internet of Things Networks

ICMPv6-Based DoS and DDoS Attacks Detection Using Machine Learning Techniques, Open Challenges, and Blockchain Applicability: A Review

Efficient Route Discovery and Link Failure Detection Mechanisms for Source Routing Protocol in Mobile Ad-Hoc Networks

A Secure Pseudonym-Based Conditional Privacy-Preservation Authentication Scheme in Vehicular Ad Hoc Networks

Conditional Tabular Generative Adversarial Based Intrusion Detection System for Detecting Ddos and Dos Attacks on the Internet of Things Networks

A Systematic Literature Review on Machine Learning and Deep Learning Approaches for Detecting DDoS Attacks in Software-Defined Networking

SE-CPPA: A Secure and Efficient Conditional Privacy-Preserving Authentication Scheme in Vehicular Ad-Hoc Networks

HLD-DDoSDN: High and low-rates dataset-based DDoS attacks against SDN

A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of Things

Impact of coronavirus pandemic crisis on technologies and cloud computing applications

Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner

An Efficient Identity-Based Conditional Privacy-Preserving Authentication Scheme for Secure Communication in a Vehicular Ad Hoc Network

Towards Identity-Based Conditional Privacy-Preserving Authentication Scheme for Vehicular Ad Hoc Networks

Labeled flow-based dataset of ICMPv6-based DDoS attacks

VPPCS: VANET-Based Privacy-Preserving Communication Scheme

DAD-match; Security technique to prevent denial of service attack on duplicate address detection process in IPv6 link-local network

ETH-PSD: A MACHINE LEARNING-BASED PHISHING SCAM DETECTION APPROACH IN ETHEREUM

Mechanism to prevent the abuse of IPv6 fragmentation in OpenFlow networks

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