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Dalal S, Manoharan P, Lilhore UK, Seth B, Mohammed alsekait D, Simaiya S, Hamdi M, Raahemifar K. Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment. JOURNAL OF CLOUD COMPUTING 2023. [DOI: 10.1186/s13677-022-00356-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
AbstractThere 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.
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Joshi S, Sharma M, Barve A. Implementation challenges of blockchain technology in closed-loop supply chain: A Waste Electrical and Electronic Equipment (WEEE) management perspective in developing countries. SUPPLY CHAIN FORUM 2022. [DOI: 10.1080/16258312.2022.2135972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Sudhanshu Joshi
- Operations and Supply Chain Management Research Lab, School of Management, Doon University, INDIA
- Australian Artificial Intelligence Institute (AAII), University of Technology, Sydney, NSW, Australia
| | - Manu Sharma
- Department of Management Studies, Graphic Era Deemed to be University, INDIA
- Guildhall School of Business and Law, London Metropolitan University, London LONDON
| | - Akhilesh Barve
- Mechanical Engineering Department, National Institute of Technology (NIT), Bhopal, INDIA
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