会議情報

ICSCSA 2026: International Conference on Soft Computing for Security Applications

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ICSCSA
投稿締切日:
2026-05-12
通知日:
2026-06-13
開催日:
2026-08-19
開催地:
Salem, India
開催回数:
6
閲覧: 2256   フォロー: 0   参加: 0

論文募集

ICSCSA 2026 (International Conference on Soft Computing for Security Applications) is an academic conference held in Salem, India on 2026-08-19. The paper submission deadline is 2026-05-12. Acceptance notifications are sent on 2026-06-13.

The 6th International Conference on Soft Computing for Security Applications [ICSCSA-2026] invites submissions for original research in soft computing. We welcome contributions that address real-world challenges in security applications through the application of soft computing techniques. The conference will feature two distinct tracks, but not limited to: Track-1 Intrusion Detection Systems using Soft Computing Techniques Threat Analysis and Prediction with Fuzzy Logic Application of Neural Networks in Biometric Systems Evolutionary Computation for Cybersecurity Analytics Secure Communication Protocols Fuzzy Neural Networks for Anomaly Detection Soft Computing Approaches for Malware Analysis Adaptive Security Measures using Machine Learning Track-2 Soft Computing Algorithms for Optimization Problems Intelligent Decision-Making Systems Financial Risk Management using Soft Computing Logistics Optimization with Genetic Algorithms Fuzzy Logic Applications in Supply Chain Management Adaptive Resource Allocation through Neural Networks Machine Learning for Decision Support Soft Computing in Real-time Decision Support Systems
最終更新:Dou Sun

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
CSoft Computing2.5Springer1432-7643
Applied Soft Computing6.6Elsevier1568-4946
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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