Deep Learning Applications in Cyber Security: A Comprehensive Review, Challenges and Prospects

Sharma, Bhavuk; Mangrulkar, Ramchandra

doi:10.33564/ijeast.2019.v04i08.023

Cited by 3 publications

(1 citation statement)

References 52 publications

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“…The study in [43] presented a survey about deep learning methods in the field of cybersecurity. The study highlighted the security issues faced by the deep learning models.…”

Section: Competing Surveysmentioning

confidence: 99%

Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions

et al. 2021

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Ransomware is an ill-famed malware that has received recognition because of its lethal and irrevocable effects on its victims. The irreparable loss caused due to ransomware requires the timely detection of these attacks. Several studies including surveys and reviews are conducted on the evolution, taxonomy, trends, threats, and countermeasures of ransomware. Some of these studies were specifically dedicated to IoT and android platforms. However, there is not a single study in the available literature that addresses the significance of dynamic analysis for the ransomware detection studies for all the targeted platforms. This study also provides the information about the datasets collection from its sources, which were utilized in the ransomware detection studies of the diverse platforms. This study is also distinct in terms of providing a survey about the ransomware detection studies utilizing machine learning, deep learning, and blend of both techniques while capitalizing on the advantages of dynamic analysis for the ransomware detection. The presented work considers the ransomware detection studies conducted from 2019 to 2021. This study provides an ample list of future directions which will pave the way for future research.

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“…The study in [43] presented a survey about deep learning methods in the field of cybersecurity. The study highlighted the security issues faced by the deep learning models.…”

Section: Competing Surveysmentioning

confidence: 99%

Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions

et al. 2021

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Deep learning techniques to detect cybersecurity attacks: a systematic mapping study

Torre,

Mesadieu,

Chennamaneni

2023

Empir Software Eng

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Use of Machine Learning in Cyber Security

2021

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The urgency of the topic is the integration of machine learning technologies into cybersecurity systems. After getting acquainted with the technical literature, the main technologies of machine learning that are implemented in the organization of cybersecurity were formulated. Acquainted with the main type of artificial neural network used in the prevention and detection of cyber threats and found that the main to consider the general application of machine learning technologies are artificial neural networks based on a multilayer perceptron with inverse error propagation. It is proposed to use indicators of compromise cyberattacks as initial information for automatic machine learning systems. Emphasis is placed on the main types of data that can be used by surveillance subsystems for information security and cybersecurity to perform tasks and prevent, classify and predict cybersecurity events. According to the results of the analysis, the main problem areas for their implementation in information security systems are identified. The problem of using machine learning (ML) in cybersecurity is difficult to solve, because advances in this area open up many opportunities, from which it is difficult to choose effective means of implementation and decision-making. In addition, this technology can also be used by hackers to create a cyber attack. The purpose of the study is to implement machine learning in information security and cybersecurity technology, and to depict a model based on self-learning

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Deep Learning Applications in Cyber Security: A Comprehensive Review, Challenges and Prospects

Cited by 3 publications

References 52 publications

Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions

Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions

Deep learning techniques to detect cybersecurity attacks: a systematic mapping study

Use of Machine Learning in Cyber Security

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