A Review of Ransomware Families and Detection Methods

Helen Jose Chittooparambil; Bharanidharan Shanmugam; Sami Azam; Krishnan Kannoorpatti; Mirjam Jonkman; Ganthan Narayana Samy

doi:10.1007/978-3-319-99007-1_55

A Review of Ransomware Families and Detection Methods

Helen Jose Chittooparambil, Bharanidharan Shanmugam, Sami Azam, Krishnan Kannoorpatti, Mirjam Jonkman, Ganthan Narayana Samy

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

Ransomware has become a significant problem and its impact is getting worse. It has now become a lucrative business as it is being offered as a service. Unlike other security issues, the effect of ransomware is irreversible and difficult to stop. This research has analysed existing ransomware classifications and its detection and prevention methods. Due to the difficulty in categorizing the steps none of the existing methods can stop ransomware. Ransomware families are identified and classified from the year 1989 to 2017 and surprisingly there are not much difference in the pattern. This paper concludes with a brief discussion about the findings and future work of this research.

Original language	English
Title of host publication	Recent Trends in Data Science and Soft Computing - Proceedings of the 3rd International Conference of Reliable Information and Communication Technology IRICT 2018
Editors	Faisal Saeed, Nadhmi Gazem, Fathey Mohammed, Abdelsalam Busalim
Place of Publication	Cham, Switzerland
Publisher	Springer, Cham
Pages	588-597
Number of pages	10
Volume	843
ISBN (Electronic)	978-3-319-99007-1
ISBN (Print)	978-3-319-99006-4
DOIs	https://doi.org/10.1007/978-3-319-99007-1_55
Publication status	Published - 2019
Event	3rd International Conference of Reliable Information and Communication Technology, IRICT 2018 - Kuala Lumpur, Malaysia Duration: 23 Jun 2018 → 24 Jun 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	843
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	3rd International Conference of Reliable Information and Communication Technology, IRICT 2018
Country/Territory	Malaysia
City	Kuala Lumpur
Period	23/06/18 → 24/06/18

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10.1007/978-3-319-99007-1_55

Cite this

Chittooparambil, H. J., Shanmugam, B., Azam, S., Kannoorpatti, K., Jonkman, M., & Samy, G. N. (2019). A Review of Ransomware Families and Detection Methods. In F. Saeed, N. Gazem, F. Mohammed, & A. Busalim (Eds.), Recent Trends in Data Science and Soft Computing - Proceedings of the 3rd International Conference of Reliable Information and Communication Technology IRICT 2018 (Vol. 843, pp. 588-597). ( Advances in Intelligent Systems and Computing ; Vol. 843). Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_55

Chittooparambil, Helen Jose ; Shanmugam, Bharanidharan ; Azam, Sami et al. / A Review of Ransomware Families and Detection Methods. Recent Trends in Data Science and Soft Computing - Proceedings of the 3rd International Conference of Reliable Information and Communication Technology IRICT 2018. editor / Faisal Saeed ; Nadhmi Gazem ; Fathey Mohammed ; Abdelsalam Busalim. Vol. 843 Cham, Switzerland : Springer, Cham, 2019. pp. 588-597 ( Advances in Intelligent Systems and Computing ).

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title = "A Review of Ransomware Families and Detection Methods",

abstract = "Ransomware has become a significant problem and its impact is getting worse. It has now become a lucrative business as it is being offered as a service. Unlike other security issues, the effect of ransomware is irreversible and difficult to stop. This research has analysed existing ransomware classifications and its detection and prevention methods. Due to the difficulty in categorizing the steps none of the existing methods can stop ransomware. Ransomware families are identified and classified from the year 1989 to 2017 and surprisingly there are not much difference in the pattern. This paper concludes with a brief discussion about the findings and future work of this research.",

keywords = "Cybersecurity, Peta, Ransomware classifications, Virus, WannaCry",

author = "Chittooparambil, {Helen Jose} and Bharanidharan Shanmugam and Sami Azam and Krishnan Kannoorpatti and Mirjam Jonkman and Samy, {Ganthan Narayana}",

year = "2019",

doi = "10.1007/978-3-319-99007-1_55",

language = "English",

isbn = "978-3-319-99006-4",

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booktitle = "Recent Trends in Data Science and Soft Computing - Proceedings of the 3rd International Conference of Reliable Information and Communication Technology IRICT 2018",

note = "3rd International Conference of Reliable Information and Communication Technology, IRICT 2018 ; Conference date: 23-06-2018 Through 24-06-2018",

}

Chittooparambil, HJ, Shanmugam, B , Azam, S , Kannoorpatti, K , Jonkman, M & Samy, GN 2019, A Review of Ransomware Families and Detection Methods. in F Saeed, N Gazem, F Mohammed & A Busalim (eds), Recent Trends in Data Science and Soft Computing - Proceedings of the 3rd International Conference of Reliable Information and Communication Technology IRICT 2018. vol. 843, Advances in Intelligent Systems and Computing , vol. 843, Springer, Cham, Cham, Switzerland, pp. 588-597, 3rd International Conference of Reliable Information and Communication Technology, IRICT 2018, Kuala Lumpur, Malaysia, 23/06/18. https://doi.org/10.1007/978-3-319-99007-1_55

A Review of Ransomware Families and Detection Methods. / Chittooparambil, Helen Jose; Shanmugam, Bharanidharan ; Azam, Sami et al.
Recent Trends in Data Science and Soft Computing - Proceedings of the 3rd International Conference of Reliable Information and Communication Technology IRICT 2018. ed. / Faisal Saeed; Nadhmi Gazem; Fathey Mohammed; Abdelsalam Busalim. Vol. 843 Cham, Switzerland: Springer, Cham, 2019. p. 588-597 ( Advances in Intelligent Systems and Computing ; Vol. 843).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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AU - Shanmugam, Bharanidharan

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AU - Samy, Ganthan Narayana

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AB - Ransomware has become a significant problem and its impact is getting worse. It has now become a lucrative business as it is being offered as a service. Unlike other security issues, the effect of ransomware is irreversible and difficult to stop. This research has analysed existing ransomware classifications and its detection and prevention methods. Due to the difficulty in categorizing the steps none of the existing methods can stop ransomware. Ransomware families are identified and classified from the year 1989 to 2017 and surprisingly there are not much difference in the pattern. This paper concludes with a brief discussion about the findings and future work of this research.

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Chittooparambil HJ, Shanmugam B , Azam S , Kannoorpatti K , Jonkman M, Samy GN. A Review of Ransomware Families and Detection Methods. In Saeed F, Gazem N, Mohammed F, Busalim A, editors, Recent Trends in Data Science and Soft Computing - Proceedings of the 3rd International Conference of Reliable Information and Communication Technology IRICT 2018. Vol. 843. Cham, Switzerland: Springer, Cham. 2019. p. 588-597. ( Advances in Intelligent Systems and Computing ). Epub 2018 Sept 9. doi: 10.1007/978-3-319-99007-1_55

A Review of Ransomware Families and Detection Methods

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