A Review of Intelligent Cybersecurity with Bayesian Networks

Pappaterra, Mauro José; Flammini, Francesco

doi:10.1109/smc.2019.8913864

Cited by 9 publications

(8 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e KR method can be divided into logical reasoning based on production rules, reasoning based on graph models, and probabilistic reasoning based on evidence theory. Different methods include fuzzy reasoning, Bayesian networks, Markov processes, and the DS evidence theory [15,16]. e KR method can simulate the way of human thinking compared with the MM method.…”

Section: Knowledge Reasoning-based Methodmentioning

confidence: 99%

“…Some studies use heuristic algorithms to improve high efficiency. In addition, as the classification knowledge is obtained from historical data through machine learning, it is difficult for the machine to give an intuitive explanation, which is not conducive to understanding [16].…”

Section: Knowledge Reasoning-based Methodmentioning

confidence: 99%

“…As a part of data fusion, cyber-SA first introduced the data fusion model, modified and refined the original model, established the CSA model, and clarified the function of the CSA. ere are not many studies on the model [16]. Endsley's viewpoint is essentially a top-down driven mental paradigm divided into three major components: perception, comprehension, and projection.…”

Section: Related Studymentioning

confidence: 99%

“…On the other hand, multisource and multiattribute information is gathered by reasoning. e KR method represented by Bayesian networks became a hot research topic [16]. At this point, a large number of documents have emerged, and repeated research is serious.…”

Section: Related Studymentioning

confidence: 99%

See 3 more Smart Citations

Proliferation of Cyber Situational Awareness: Today’s Truly Pervasive Drive of Cybersecurity

Nazir

Han

2022

Security and Communication Networks

View full text Add to dashboard Cite

Situation awareness (SA) issues necessitate a comprehension of present activities, the ability to forecast, what will happen next, and strategies to assess the threat or impact of current internet activities and projections. These SA procedures are universal, domain-independent and can be used to detect cyber intrusions. This study introduces cyber situation awareness (CSA), its origin, conception, aim, and characteristics based on an analysis of function shortages and development requirements. Furthermore, we discussed the CSA research framework and examined the research history, which is the essential aspect, and assessed the present issues of the research as well. The assessment approaches were divided into three methods: mathematics model, knowledge reasoning, and pattern recognition. The study then goes into detail regarding the core idea, assessment procedure, strengths, and weaknesses of novel approaches, and then, it addresses CSA from three perspectives: model, knowledge representation, and assessment methods. Many common approaches are contrasted, and current CSA application research in the realms of security, transmission, survivability, and system evaluation is discussed. Finally, this study summarized the findings of the present from technical and application systems, outlined CSA’s future development directions, and provided adversary activities and information that can be used to improve an organization’s SA operations.

show abstract

Section: Knowledge Reasoning-based Methodmentioning

confidence: 99%

Section: Knowledge Reasoning-based Methodmentioning

confidence: 99%

Section: Related Studymentioning

confidence: 99%

Section: Related Studymentioning

confidence: 99%

See 2 more Smart Citations

Proliferation of Cyber Situational Awareness: Today’s Truly Pervasive Drive of Cybersecurity

Nazir

Han

2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Recently, the complexity of cyber security has been more and more dominated by approaches borrowed from Artificial Intelligence (AI) to promote automation. In this paper [49] Researchers provide a short survey and hints on Bayesian cyber security applications to allow quantitative threat assessment for higher risk analysis and situational awareness.…”

Section: Prevention Of Cyber-attacks and Threats Using Aimentioning

confidence: 99%

The future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey

Tao¹,

Akhtar²,

Zhang³

2021

EAI Endorsed Transactions on Creative Technologies

View full text Add to dashboard Cite

AI in Cybersecurity Market scheme helps organizations in observance, detecting, reporting, and countering cyber threats to keep up information confidentiality. The increasing awareness among folks, advancements in info technology, up-gradation of intelligence and police work solutions, and increasing volume of knowledge gathered from numerous sources have demanded the utilization of reliable and improved cybersecurity solutions all told industries. The increase in the incidence and quality of cyber-attacks is driving AI-enabled cyber systems. Increasing incidents of huge cyber-attacks globally have created awareness among organizations for securing their information. The motive behind these cyber-criminals are political competition, competitors move for gain and harming the name of others, international information theft, and radical nonsecular cluster interest. Most cyber-attacks are for gain. In this review we have presented some previous studies related to Cybersecurity which involves AI.

show abstract