Extensive Analysis of Intrusion Detection System Using Deep Learning Techniques

Patil, Nishit Bhaskar; Joshi, Shubhalaxmi

doi:10.1007/978-981-19-6581-4_16

Cited by 1 publication

(1 citation statement)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As cyber threats become more sophisticated, the literature emphasizes the importance of advanced technologies in fortifying defense strategies. AI and ML play pivotal roles in enhancing threat detection capabilities [14], [15]. Studies reveal the efficacy of AI-driven systems in identifying anomalous patterns and behaviors indicative of potential cyber threats [16].…”

Section: Threat Detection Mechanismsmentioning

confidence: 99%

Analysis of Threat Detection, Prevention Strategies, and Cyber Risk Management for Computer Network Security in Government Information Systems in Indonesia

Judijanto,

Rahardian,

Muthmainah

et al. 2023

WSIST

View full text Add to dashboard Cite

This research investigates the landscape of threat detection, prevention strategies, and cyber risk management within Government Information Systems in Indonesia. A quantitative approach, employing Structural Equation Modeling - Partial Least Squares (SEM-PLS), was utilized to analyze data collected from 150 participants across diverse government institutions. The study assessed perceived cyber threats, the effectiveness of threat detection mechanisms, prevention strategy implementation, and cyber risk management practices. Findings revealed significant regional variations in threat perception and underscored the importance of both technological and human-centric approaches. The Structural Equation Model demonstrated satisfactory fit, with notable path coefficients indicating strong relationships among latent variables. The study contributes valuable insights to cybersecurity practices in the Indonesian government sector, informing policymakers and practitioners on strategies to enhance network security resilience.

show abstract

Section: Threat Detection Mechanismsmentioning

confidence: 99%