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Information Systems Security 18th International Conference, ICISS 2022, Tirupati, India, December 16–20, 2022, Proceedings

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

This book constitutes the refereed proceedings of the18th International Conference on Information Systems Security, ICISS 2022, held in Tirupati, India, during December 16–20, 2022 The 8 full papers and 5 short papers included in this book were carefully reviewed and selected from 55 submissions. They...

Beschreibung

This book constitutes the refereed proceedings of the18th International Conference on Information Systems Security, ICISS 2022, held in Tirupati, India, during December 16–20, 2022
The 8 full papers and 5 short papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: ostinato: cross-host attack correlation through attack activity similaritydetection; DKS-PKI: a distributed key server architecture for public keyinfrastructure;generating-set evaluation of bloom filter hardening techniques in privaterecord linkage; etc

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

11.12.2022
Abbildungen

XXVIII, 273 p. 102 illus., 77 illus. in color.
Herausgeber Venkata Ramana Badarla + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

11.12.2022
Abbildungen

XXVIII, 273 p. 102 illus., 77 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

273
Maße (L/B/H)

23,5/15,5/1,7 cm
Gewicht

464 g
Auflage

1st ed. 2022
Sprache

Englisch
ISBN

978-3-031-23689-1
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Information Systems Security
  • Produktbild: Information Systems Security
  • Ostinato: Cross-host Attack Correlation through Attack Activity SimilarityDetection.-DKS-PKI: A Distributed Key Server Architecture for Public KeyInfrastructure.-Generating-Set Evaluation of Bloom Filter Hardening Techniques in PrivateRecord Linkage.-SHIELD: A Multimodal Deep Learning Framework For Android MalwareDetection.-Samyukta: A Unified Access Control Model using Roles, Labels, andAttributes.-Efficient and Effective Static Android Malware Detection Using MachineLearning.-Attacks on ML Systems: From Security Analysis to Attack Mitigation.-MILSA: Model Interpretation based Label Sniffing Attack in Federated Learning.-IoTInDet: Detecting Internet of Things Intrusions with Class Scatter Ratio and Hellinger Distance Statistics.-Detecting Cloud originated DDoS attacks at the source using Out-cloud attack detection (OCAD).-Mining Attribute-Based Access Control Policies.-Preventing Privacy-Violating Information Flows in JavaScript Applications using Dynamic Labelling.-On the Impact of Model Tolerance in Power Grid Anomaly Detection Systems.-WiP: Control Plane Saturation Attack Mitigation in Software Defined Networks.-WiP: EventTracker-Event Driven Evidence Collection for Digital Forensics.-WiP: Characterizing the Impact of Multiplexed DoS Attacks on HTTP and Detection