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An Investigation to Detect Banking Malware Network Communication Traffic Using Machine Learning Techniques

Journal of cybersecurity and privacy, 2023-03, Vol.3 (1), p.1-23

2023

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Comparing the performance of supervised machine learning algorithms when used with a manual feature selection process to detect Zeus malware

International journal of grid and utility computing, 2022, Vol.13 (5), p.495

2022

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Comparing the performance of supervised machine learning algorithms when used with a manual feature selection process to detect Zeus malware

International journal of grid and utility computing, 2022, Vol.13 (5), p.495

2022

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AT7867 is a potent and oral inhibitor of AKT and p70 S6 kinase that induces pharmacodynamic changes and inhibits human tumor xenograft growth

Molecular cancer therapeutics, 2010-05, Vol.9 (5), p.1100-1110

2010

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Simulation of zero-day worm epidemiology in the dynamic, heterogeneous Internet

Journal of defense modeling and simulation, 2015-04, Vol.12 (2), p.123-138

2015

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Detecting the Zeus Banking Malware Using the Random Forest Binary Classification Algorithm and a Manual Feature Selection Process

Security in Computing and Communications, 2020, Vol.1208, p.286-297

2020

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Comparative Performance of a Parallel Implementation of an Internet-Scale Zero-Day Worm Epidemiology Simulator

International journal of computer and communication engineering, 2016-01, Vol.5 (1), p.11-22

2016

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Containment of Fast Scanning Computer Network Worms

Internet and Distributed Computing Systems, 2015, p.235-247

2015

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A Virtualized Network Testbed for Zero-Day Worm Analysis and Countermeasure Testing

Advances in Security of Information and Communication Networks, 2013, p.54-64

2013

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Authentication delegation for subscription-based remote network services

Computers & security, 2006-07, Vol.25 (5), p.371-378

2006

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The effect of datagram size and susceptible population on the epidemiology of fast self-propagating malware

2018 International Conference on Information Networking (ICOIN), 2018, p.397-401

2018

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Towards automated distributed containment of zero-day network worms

Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT), 2014, p.1-7

2014

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Comparing and analysing binary classification algorithms when used to detect the Zeus malware

2019 Sixth HCT Information Technology Trends (ITT), 2019, p.6-11

2019

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Empirical Analysis of Rate Limiting + Leap Ahead (RL+LA) Countermeasure against Witty Worm

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015, p.2055-2061

2015

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A Pseudo-Worm Daemon (PWD) for empirical analysis of zero-day network worms and countermeasure testing

Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT), 2014, p.1-6

2014

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Epidemiological modeling of network worm infections and countermeasures

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), 2015, p.628-633

2015

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Empirical analysis of an improved countermeasure against computer network worms

2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2015, p.1-7

2015

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Detecting Zeus Malware Network Traffic Using the Random Forest Algorithm with Both a Manual and Automated Feature Selection Process

IOT with Smart Systems, 2022, Vol.312, p.547-557

2022

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The V-network testbed for malware analysis

2016 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 2016, p.629-635

2016

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Comparative Performance of Fault ride through Controller in Modular Multilevel Converter based HVDC Transmission

2019 54th International Universities Power Engineering Conference (UPEC), 2019, p.1-6

2019

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Early containment of fast network worm malware

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS), 2016, p.195-201

2016

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A countermeasure mechanism for fast scanning malware

2016 International Conference On Cyber Security And Protection Of Digital Services (Cyber Security), 2016, p.1-8

2016

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COMPARATIVE ANALYSIS OF PI AND HYSTERESIS CONTROLLERS FOR FAULT RIDE THROUGH OF VSC TRANSMISSION SYSTEM

IET Conference Proceedings, 2020, Vol.2020 (7), p.216-221

2020

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New models and measurements concerning sound attenuation in concentrated airborne suspensions

The Journal of the Acoustical Society of America, 2000-05, Vol.107 (5_Supplement), p.2846-2846

2000

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A Cluster-Based Approach to Consensus Based Distributed Task Allocation

2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, 2014, p.428-431

2014

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An Investigation to Detect Banking Malware Network Communication Traffic Using Machine Learning Techniques

Comparing the performance of supervised machine learning algorithms when used with a manual feature selection process to detect Zeus malware

Comparing the performance of supervised machine learning algorithms when used with a manual feature selection process to detect Zeus malware

AT7867 is a potent and oral inhibitor of AKT and p70 S6 kinase that induces pharmacodynamic changes and inhibits human tumor xenograft growth

Simulation of zero-day worm epidemiology in the dynamic, heterogeneous Internet

Detecting the Zeus Banking Malware Using the Random Forest Binary Classification Algorithm and a Manual Feature Selection Process

Comparative Performance of a Parallel Implementation of an Internet-Scale Zero-Day Worm Epidemiology Simulator

Containment of Fast Scanning Computer Network Worms

A Virtualized Network Testbed for Zero-Day Worm Analysis and Countermeasure Testing

Authentication delegation for subscription-based remote network services

The effect of datagram size and susceptible population on the epidemiology of fast self-propagating malware

Towards automated distributed containment of zero-day network worms

Comparing and analysing binary classification algorithms when used to detect the Zeus malware

Empirical Analysis of Rate Limiting + Leap Ahead (RL+LA) Countermeasure against Witty Worm

A Pseudo-Worm Daemon (PWD) for empirical analysis of zero-day network worms and countermeasure testing

Epidemiological modeling of network worm infections and countermeasures

Empirical analysis of an improved countermeasure against computer network worms

Detecting Zeus Malware Network Traffic Using the Random Forest Algorithm with Both a Manual and Automated Feature Selection Process

The V-network testbed for malware analysis

Comparative Performance of Fault ride through Controller in Modular Multilevel Converter based HVDC Transmission

Early containment of fast network worm malware

A countermeasure mechanism for fast scanning malware

COMPARATIVE ANALYSIS OF PI AND HYSTERESIS CONTROLLERS FOR FAULT RIDE THROUGH OF VSC TRANSMISSION SYSTEM

New models and measurements concerning sound attenuation in concentrated airborne suspensions

A Cluster-Based Approach to Consensus Based Distributed Task Allocation

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