Cybersecurity and Cyber Forensics: Machine Learning Approach

Ibrahim Goni; Jerome Mishion Gumpy; Timothy Umar Maigari; Murtala Muhammad; Abdulrahman Saidu

doi:doi:10.11648/j.mlr.20200504.11

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Cybersecurity and Cyber Forensics: Machine Learning Approach

Ibrahim Goni, Jerome Mishion Gumpy, Timothy Umar Maigari, Murtala Muhammad, Abdulrahman Saidu

Published in Machine Learning Research (Volume 5, Issue 4)

Received: 3 September 2020 Accepted: 22 September 2020 Published: 16 December 2020

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Abstract

The proliferation of cloud computing and internet of things has led to the connectivity of states and nations (developed and developing countries) worldwide in which global network provide platform for the connection. Digital forensics is a field of computer security that uses software applications and standard guidelines which support the extraction of evidences from any computer appliances which are perfectly enough for the court of law to use and make a judgment based on the comprehensiveness, authenticity and objectivity of the information obtained. Cybersecurity is of major concerned to the internet users worldwide due to the recent form of attacks, threat, viruses, intrusion among others going on every day among internet of things. The aim of this work is make a systematic review on the application of machine learning algorithms to cybersecurity and cyber forensics, systematic survey method was used on recent application of machine learning algorithms on cyber forensics and cyber security based on this findings it is observed that cybersecurity is based on confidentiality, integrity and validity of data, it is also noted that there are ten steps to cybersecurity; network security, user education and awareness, malware prevention, removable media control, secure configuration, managing user privileges, incident management, monitoring and home and mobile working and pave away for further research directions on the application of deep learning, computational intelligence, soft computing to cybersecurity and cyber forensics.

Published in	Machine Learning Research (Volume 5, Issue 4)
DOI	10.11648/j.mlr.20200504.11
Page(s)	46-50
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Cybersecurity, Cyber Forensics, Cyber Space, Cyber Threat, Machine Learning and Deep Learning

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APA Style

Ibrahim Goni, Jerome Mishion Gumpy, Timothy Umar Maigari, Murtala Muhammad, Abdulrahman Saidu. (2020). Cybersecurity and Cyber Forensics: Machine Learning Approach. Machine Learning Research, 5(4), 46-50. https://doi.org/10.11648/j.mlr.20200504.11

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ACS Style

Ibrahim Goni; Jerome Mishion Gumpy; Timothy Umar Maigari; Murtala Muhammad; Abdulrahman Saidu. Cybersecurity and Cyber Forensics: Machine Learning Approach. Mach. Learn. Res. 2020, 5(4), 46-50. doi: 10.11648/j.mlr.20200504.11

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AMA Style

Ibrahim Goni, Jerome Mishion Gumpy, Timothy Umar Maigari, Murtala Muhammad, Abdulrahman Saidu. Cybersecurity and Cyber Forensics: Machine Learning Approach. Mach Learn Res. 2020;5(4):46-50. doi: 10.11648/j.mlr.20200504.11

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@article{10.11648/j.mlr.20200504.11,
  author = {Ibrahim Goni and Jerome Mishion Gumpy and Timothy Umar Maigari and Murtala Muhammad and Abdulrahman Saidu},
  title = {Cybersecurity and Cyber Forensics: Machine Learning Approach},
  journal = {Machine Learning Research},
  volume = {5},
  number = {4},
  pages = {46-50},
  doi = {10.11648/j.mlr.20200504.11},
  url = {https://doi.org/10.11648/j.mlr.20200504.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20200504.11},
  abstract = {The proliferation of cloud computing and internet of things has led to the connectivity of states and nations (developed and developing countries) worldwide in which global network provide platform for the connection. Digital forensics is a field of computer security that uses software applications and standard guidelines which support the extraction of evidences from any computer appliances which are perfectly enough for the court of law to use and make a judgment based on the comprehensiveness, authenticity and objectivity of the information obtained. Cybersecurity is of major concerned to the internet users worldwide due to the recent form of attacks, threat, viruses, intrusion among others going on every day among internet of things. The aim of this work is make a systematic review on the application of machine learning algorithms to cybersecurity and cyber forensics, systematic survey method was used on recent application of machine learning algorithms on cyber forensics and cyber security based on this findings it is observed that cybersecurity is based on confidentiality, integrity and validity of data, it is also noted that there are ten steps to cybersecurity; network security, user education and awareness, malware prevention, removable media control, secure configuration, managing user privileges, incident management, monitoring and home and mobile working and pave away for further research directions on the application of deep learning, computational intelligence, soft computing to cybersecurity and cyber forensics.},
 year = {2020}
}

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TY  - JOUR
T1  - Cybersecurity and Cyber Forensics: Machine Learning Approach
AU  - Ibrahim Goni
AU  - Jerome Mishion Gumpy
AU  - Timothy Umar Maigari
AU  - Murtala Muhammad
AU  - Abdulrahman Saidu
Y1  - 2020/12/16
PY  - 2020
N1  - https://doi.org/10.11648/j.mlr.20200504.11
DO  - 10.11648/j.mlr.20200504.11
T2  - Machine Learning Research
JF  - Machine Learning Research
JO  - Machine Learning Research
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EP  - 50
PB  - Science Publishing Group
SN  - 2637-5680
UR  - https://doi.org/10.11648/j.mlr.20200504.11
AB  - The proliferation of cloud computing and internet of things has led to the connectivity of states and nations (developed and developing countries) worldwide in which global network provide platform for the connection. Digital forensics is a field of computer security that uses software applications and standard guidelines which support the extraction of evidences from any computer appliances which are perfectly enough for the court of law to use and make a judgment based on the comprehensiveness, authenticity and objectivity of the information obtained. Cybersecurity is of major concerned to the internet users worldwide due to the recent form of attacks, threat, viruses, intrusion among others going on every day among internet of things. The aim of this work is make a systematic review on the application of machine learning algorithms to cybersecurity and cyber forensics, systematic survey method was used on recent application of machine learning algorithms on cyber forensics and cyber security based on this findings it is observed that cybersecurity is based on confidentiality, integrity and validity of data, it is also noted that there are ten steps to cybersecurity; network security, user education and awareness, malware prevention, removable media control, secure configuration, managing user privileges, incident management, monitoring and home and mobile working and pave away for further research directions on the application of deep learning, computational intelligence, soft computing to cybersecurity and cyber forensics.
VL  - 5
IS  - 4
ER  -

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Author Information

Ibrahim Goni

Department of Computer Science, Adamawa State University, Mubi, Nigeria
Jerome Mishion Gumpy

Department of Computer Science, Federal University, Gashua, Nigeria
Timothy Umar Maigari

Department of Computer Science, Federal College of Education Gombe, Nigeria
Murtala Muhammad

Dpartment of Computer Science, Federal Polytechnic Bali, Taraba Nigeria
Abdulrahman Saidu

Dpartment of Computer Science, Federal Polytechnic Bali, Taraba Nigeria

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APA Style

Ibrahim Goni, Jerome Mishion Gumpy, Timothy Umar Maigari, Murtala Muhammad, Abdulrahman Saidu. (2020). Cybersecurity and Cyber Forensics: Machine Learning Approach. Machine Learning Research, 5(4), 46-50. https://doi.org/10.11648/j.mlr.20200504.11

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ACS Style

Ibrahim Goni; Jerome Mishion Gumpy; Timothy Umar Maigari; Murtala Muhammad; Abdulrahman Saidu. Cybersecurity and Cyber Forensics: Machine Learning Approach. Mach. Learn. Res. 2020, 5(4), 46-50. doi: 10.11648/j.mlr.20200504.11

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AMA Style

Ibrahim Goni, Jerome Mishion Gumpy, Timothy Umar Maigari, Murtala Muhammad, Abdulrahman Saidu. Cybersecurity and Cyber Forensics: Machine Learning Approach. Mach Learn Res. 2020;5(4):46-50. doi: 10.11648/j.mlr.20200504.11

Copy | Download

@article{10.11648/j.mlr.20200504.11,
  author = {Ibrahim Goni and Jerome Mishion Gumpy and Timothy Umar Maigari and Murtala Muhammad and Abdulrahman Saidu},
  title = {Cybersecurity and Cyber Forensics: Machine Learning Approach},
  journal = {Machine Learning Research},
  volume = {5},
  number = {4},
  pages = {46-50},
  doi = {10.11648/j.mlr.20200504.11},
  url = {https://doi.org/10.11648/j.mlr.20200504.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20200504.11},
  abstract = {The proliferation of cloud computing and internet of things has led to the connectivity of states and nations (developed and developing countries) worldwide in which global network provide platform for the connection. Digital forensics is a field of computer security that uses software applications and standard guidelines which support the extraction of evidences from any computer appliances which are perfectly enough for the court of law to use and make a judgment based on the comprehensiveness, authenticity and objectivity of the information obtained. Cybersecurity is of major concerned to the internet users worldwide due to the recent form of attacks, threat, viruses, intrusion among others going on every day among internet of things. The aim of this work is make a systematic review on the application of machine learning algorithms to cybersecurity and cyber forensics, systematic survey method was used on recent application of machine learning algorithms on cyber forensics and cyber security based on this findings it is observed that cybersecurity is based on confidentiality, integrity and validity of data, it is also noted that there are ten steps to cybersecurity; network security, user education and awareness, malware prevention, removable media control, secure configuration, managing user privileges, incident management, monitoring and home and mobile working and pave away for further research directions on the application of deep learning, computational intelligence, soft computing to cybersecurity and cyber forensics.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Cybersecurity and Cyber Forensics: Machine Learning Approach
AU  - Ibrahim Goni
AU  - Jerome Mishion Gumpy
AU  - Timothy Umar Maigari
AU  - Murtala Muhammad
AU  - Abdulrahman Saidu
Y1  - 2020/12/16
PY  - 2020
N1  - https://doi.org/10.11648/j.mlr.20200504.11
DO  - 10.11648/j.mlr.20200504.11
T2  - Machine Learning Research
JF  - Machine Learning Research
JO  - Machine Learning Research
SP  - 46
EP  - 50
PB  - Science Publishing Group
SN  - 2637-5680
UR  - https://doi.org/10.11648/j.mlr.20200504.11
AB  - The proliferation of cloud computing and internet of things has led to the connectivity of states and nations (developed and developing countries) worldwide in which global network provide platform for the connection. Digital forensics is a field of computer security that uses software applications and standard guidelines which support the extraction of evidences from any computer appliances which are perfectly enough for the court of law to use and make a judgment based on the comprehensiveness, authenticity and objectivity of the information obtained. Cybersecurity is of major concerned to the internet users worldwide due to the recent form of attacks, threat, viruses, intrusion among others going on every day among internet of things. The aim of this work is make a systematic review on the application of machine learning algorithms to cybersecurity and cyber forensics, systematic survey method was used on recent application of machine learning algorithms on cyber forensics and cyber security based on this findings it is observed that cybersecurity is based on confidentiality, integrity and validity of data, it is also noted that there are ten steps to cybersecurity; network security, user education and awareness, malware prevention, removable media control, secure configuration, managing user privileges, incident management, monitoring and home and mobile working and pave away for further research directions on the application of deep learning, computational intelligence, soft computing to cybersecurity and cyber forensics.
VL  - 5
IS  - 4
ER  -

Copy | Download