Výsledky vyhledávání - "Domhnall Carlin"

Akademický článek

Where is all the research software? An analysis of software in UK academic repositories

Autor: Domhnall Carlin, Austen Rainer, David Wilson

Publikováno v: PeerJ Computer Science, Vol 9, p e1546 (2023)

This research examines the prevalence of research software as independent records of output within UK academic institutional repositories (IRs). There has been a steep decline in numbers of research software submissions to the UK’s Research Excelle

Externí odkaz: https://doaj.org/article/b2d49938a64f41a5badf5290bc920c39

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Akademický článek

LSTM RNN: detecting exploit kits using redirection chain sequences

Autor: Jonah Burgess, Philip O’Kane, Sakir Sezer, Domhnall Carlin

Publikováno v: Cybersecurity, Vol 4, Iss 1, Pp 1-15 (2021)

Abstract While consumers use the web to perform routine activities, they are under the constant threat of attack from malicious websites. Even when visiting ‘trusted’ sites, there is always a risk that site is compromised, and, hosting a maliciou

Externí odkaz: https://doaj.org/article/68930ceb3138467a9b189dd15d00db44

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Akademický článek

Evolution of ransomware

Autor: Philip O'Kane, Sakir Sezer, Domhnall Carlin

Publikováno v: IET Networks, Vol 7, Iss 5, Pp 321-327 (2018)

Cybercrime has long since transformed from a world of Maverick attackers to a criminal business. Ransomware is a malware that renders a victim's computer or data unusable and is increasingly being used by criminals to generate revenue through extorti

Externí odkaz: https://doaj.org/article/11d4b27704f9442c8779cfd59de6c5b3

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Akademický článek

The Effects of Traditional Anti-Virus Labels on Malware Detection Using Dynamic Runtime Opcodes

Autor: Domhnall Carlin, Alexandra Cowan, Philip O'Kane, Sakir Sezer

Publikováno v: IEEE Access, Vol 5, Pp 17742-17752 (2017)

The arms race between the distributors of malware and those seeking to provide defenses has so far favored the former. Signature detection methods have been unable to cope with the onslaught of new binaries aided by rapidly developing obfuscation tec

Externí odkaz: https://doaj.org/article/a993b95944be444da841de3e5690fcb4

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MFMCNS: A Multi-Feature and Multi-Classifier Network-based System for Ransomworm Detection

Autor: Ahmad O. Almashhadani, Domhnall Carlin, Mustafa Kaiiali, Sakir Sezer

Publikováno v: Almashhadani, A O, Carlin, D, Kaiiali, M & Sezer, S 2022, ' MFMCNS: A Multi-Feature and Multi-Classifier Network-based System for Ransomworm Detection ', Computers & Security, vol. 121, 102860 . https://doi.org/10.1016/j.cose.2022.102860

open access article Ransomware is a type of advanced malware that can encrypt a user’s files or lock a computer system until a ransom has been paid. Ransomworm is a type of malware that combines the payload of ransomware with the propagation featur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a96b34ab8aa6a1bd5abd55b187426c49
https://hdl.handle.net/2086/22105

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Dynamic Analysis of Ran-somware using Opcodes and Opcode Categories

Autor: Philip O'Kane, Sakir Sezer, Domhnall Carlin

Publikováno v: Carlin, D, O'Kane, P & Sezer, S 2018, ' Dynamic Analysis of Ransomware Using Opcodes and Opcode Categories ', International Journal on Cyber Situational Awareness, vol. 3, no. 1, pp. 84-97 . https://doi.org/10.22619/IJCSA.2018.100121

The explosion of ransomware in recent years has served as a costly re-minder that the malware threatscape has moved from that of socially-inept hobbyists to career criminals. This paper investigates the efficacy of dynamic opcode analysis in distingu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73ae9a48badcedbea17f482040ace64a
https://doi.org/10.22619/ijcsa.2018.100121

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REdiREKT: Extracting Malicious Redirections from Exploit Kit Traffic

Autor: Jonah Burgess, Philip O'Kane, Domhnall Carlin, Sakir Sezer

Publikováno v: Burgess, J, Carlin, D, O'Kane, P & Sezer, S 2020, REdiREKT: Extracting Malicious Redirections from Exploit Kit Traffic . in 2020 IEEE Conference on Communications and Network Security (CNS): Proceedings ., 1570641813, Institute of Electrical and Electronics Engineers Inc., IEEE Conference on Communications and Network Security, Avignon, France, 29/06/2020 . https://doi.org/10.1109/CNS48642.2020.9162304
CNS

This paper proposes REdiREKT, a system which utilises the open-source Zeek Intrusion Detection System (IDS) to map HTTP redirection chains observed in Exploit Kit (EK) attacks and extracts distinguishing features to assist machine learning (ML). We b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27221887e9daa457b9a1095d7a9d682a
https://pure.qub.ac.uk/en/publications/fafadda0-0f0d-466b-a0e8-855b4938e13f

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Evolution of ransomware

Autor: Domhnall Carlin, Philip O'Kane, Sakir Sezer

Publikováno v: IET Networks, Vol 7, Iss 5, Pp 321-327 (2018)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74e22049e9f3b5be0a005a7dd3ccdb55
https://doaj.org/article/11d4b27704f9442c8779cfd59de6c5b3

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A Cost Analysis of Machine Learning Using Dynamic Runtime Opcodes for Malware Detection

Autor: Philip O'Kane, Sakir Sezer, Domhnall Carlin

Publikováno v: Carlin, D, O'Kane, P & Sezer, S 2019, ' A Cost Analysis of Machine Learning Using Dynamic Runtime Opcodes for Malware Detection ', Computers & Security, vol. 85, pp. 138-155 . https://doi.org/10.1016/j.cose.2019.04.018

The ongoing battle between malware distributors and those seeking to prevent the onslaught of malicious code has, so far, favored the former. Anti-virus methods are faltering with the rapid evolution and distribution of new malware, with obfuscation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::403d295492302d7af22e3494bc98a55b
https://pure.qub.ac.uk/en/publications/a-cost-analysis-of-machine-learning-using-dynamic-runtime-opcodes-for-malware-detection(b1afe8ce-0525-4898-9fc2-ad87ecf01bba).html

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MANiC: Multi-step Assessment for Crypto-miners

Autor: Sakir Sezer, Domhnall Carlin, Philip O'Kane, Jonah Burgess

Publikováno v: Cyber Security
Burgess, J, O'Kane, P, Carlin, D & Sezer, S 2019, MANiC: Multi-step Assessment for Crypto-miners . in International Conference on Cyber Security and Protection of Digital Services 03/06/2019 → 04/06/2019 Oxford, United Kingdom . Institute of Electrical and Electronics Engineers Inc., International Conference on Cyber Security and Protection of Digital Services, Oxford, United Kingdom, 03/06/2019 . https://doi.org/10.1109/CyberSecPODS.2019.8885003

Modern Browsers have become sophisticated applications, providing a portal to the web. Browsers host a complex mix of interpreters such as HTML and JavaScript, allowing not only useful functionality but also malicious activities, known as browser-hij

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37d9daea2e6a18cc64fbb04f903ad7a9
https://doi.org/10.1109/cybersecpods.2019.8885003

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