Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment
<p dir="ltr">There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive approach is proposed in this assessment to deal with the problem of identifying new, complicated threats and the appropriate countermeasures. In particular, zero-day attacks a...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , , , , , |
| Published: |
2023
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513507140042752 |
|---|---|
| author | Surjeet Dalal (4906894) |
| author2 | Poongodi Manoharan (17727687) Umesh Kumar Lilhore (17727684) Bijeta Seth (19482286) Deema Mohammed alsekait (19482325) Sarita Simaiya (17727693) Mounir Hamdi (14150652) Kaamran Raahemifar (707645) |
| author2_role | author author author author author author author |
| author_facet | Surjeet Dalal (4906894) Poongodi Manoharan (17727687) Umesh Kumar Lilhore (17727684) Bijeta Seth (19482286) Deema Mohammed alsekait (19482325) Sarita Simaiya (17727693) Mounir Hamdi (14150652) Kaamran Raahemifar (707645) |
| author_role | author |
| dc.creator.none.fl_str_mv | Surjeet Dalal (4906894) Poongodi Manoharan (17727687) Umesh Kumar Lilhore (17727684) Bijeta Seth (19482286) Deema Mohammed alsekait (19482325) Sarita Simaiya (17727693) Mounir Hamdi (14150652) Kaamran Raahemifar (707645) |
| dc.date.none.fl_str_mv | 2023-01-23T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1186/s13677-022-00356-9 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Extremely_boosted_neural_network_for_more_accurate_multi-stage_Cyber_attack_prediction_in_cloud_computing_environment/26830144 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Artificial intelligence Cybersecurity and privacy Distributed computing and systems software Machine learning Zero-day attack Multi-stage cyber attack Neural network Quest Bayesian network Intrusion detection Security Investigation |
| dc.title.none.fl_str_mv | Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive approach is proposed in this assessment to deal with the problem of identifying new, complicated threats and the appropriate countermeasures. In particular, zero-day attacks and multi-step assaults, which are made up of a number of different phases, some malicious and others benign, illustrate this problem well. In this paper, we propose a highly Boosted Neural Network to detect the multi-stageattack scenario. This paper demonstrated the results of executing various machine learning algorithms and proposed an enormously boosted neural network. The accuracy level achieved in the prediction of multi-stage cyber attacks is 94.09% (Quest Model), 97.29% (Bayesian Network), and 99.09% (Neural Network). The evaluation results of the Multi-Step Cyber-Attack Dataset (MSCAD) show that the proposed Extremely Boosted Neural Network can predict the multi-stage cyber attack with 99.72% accuracy. Such accurate prediction plays a vital role in managing cyber attacks in real-time communication.</p><p dir="ltr">Correction: Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment: <a href="https://dx.doi.org/10.1186/s13677-023-00551-2" target="_blank">https://dx.doi.org/10.1186/s13677-023-00551-2</a>, published online 28 November 2023.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Cloud Computing<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s13677-022-00356-9" target="_blank">https://dx.doi.org/10.1186/s13677-022-00356-9</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_a9afe25a98aef836a0b725e49f103704 |
| identifier_str_mv | 10.1186/s13677-022-00356-9 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26830144 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environmentSurjeet Dalal (4906894)Poongodi Manoharan (17727687)Umesh Kumar Lilhore (17727684)Bijeta Seth (19482286)Deema Mohammed alsekait (19482325)Sarita Simaiya (17727693)Mounir Hamdi (14150652)Kaamran Raahemifar (707645)Information and computing sciencesArtificial intelligenceCybersecurity and privacyDistributed computing and systems softwareMachine learningZero-day attackMulti-stage cyber attackNeural networkQuest Bayesian networkIntrusion detectionSecurity Investigation<p dir="ltr">There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive approach is proposed in this assessment to deal with the problem of identifying new, complicated threats and the appropriate countermeasures. In particular, zero-day attacks and multi-step assaults, which are made up of a number of different phases, some malicious and others benign, illustrate this problem well. In this paper, we propose a highly Boosted Neural Network to detect the multi-stageattack scenario. This paper demonstrated the results of executing various machine learning algorithms and proposed an enormously boosted neural network. The accuracy level achieved in the prediction of multi-stage cyber attacks is 94.09% (Quest Model), 97.29% (Bayesian Network), and 99.09% (Neural Network). The evaluation results of the Multi-Step Cyber-Attack Dataset (MSCAD) show that the proposed Extremely Boosted Neural Network can predict the multi-stage cyber attack with 99.72% accuracy. Such accurate prediction plays a vital role in managing cyber attacks in real-time communication.</p><p dir="ltr">Correction: Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment: <a href="https://dx.doi.org/10.1186/s13677-023-00551-2" target="_blank">https://dx.doi.org/10.1186/s13677-023-00551-2</a>, published online 28 November 2023.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Cloud Computing<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s13677-022-00356-9" target="_blank">https://dx.doi.org/10.1186/s13677-022-00356-9</a></p>2023-01-23T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1186/s13677-022-00356-9https://figshare.com/articles/journal_contribution/Extremely_boosted_neural_network_for_more_accurate_multi-stage_Cyber_attack_prediction_in_cloud_computing_environment/26830144CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268301442023-01-23T09:00:00Z |
| spellingShingle | Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment Surjeet Dalal (4906894) Information and computing sciences Artificial intelligence Cybersecurity and privacy Distributed computing and systems software Machine learning Zero-day attack Multi-stage cyber attack Neural network Quest Bayesian network Intrusion detection Security Investigation |
| status_str | publishedVersion |
| title | Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment |
| title_full | Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment |
| title_fullStr | Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment |
| title_full_unstemmed | Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment |
| title_short | Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment |
| title_sort | Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment |
| topic | Information and computing sciences Artificial intelligence Cybersecurity and privacy Distributed computing and systems software Machine learning Zero-day attack Multi-stage cyber attack Neural network Quest Bayesian network Intrusion detection Security Investigation |