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Information Systems Security: 18th International Conference, ICISS 2022, Tirupati, India, December 1620, 2022, Proceedings 1st ed. 2022 [Mīkstie vāki]

  • Formāts: Paperback / softback, 273 pages, height x width: 235x155 mm, weight: 468 g, 77 Illustrations, color; 25 Illustrations, black and white; XXVIII, 273 p. 102 illus., 77 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13784
  • Izdošanas datums: 11-Dec-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031236890
  • ISBN-13: 9783031236891
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  • Formāts: Paperback / softback, 273 pages, height x width: 235x155 mm, weight: 468 g, 77 Illustrations, color; 25 Illustrations, black and white; XXVIII, 273 p. 102 illus., 77 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13784
  • Izdošanas datums: 11-Dec-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031236890
  • ISBN-13: 9783031236891
Citas grāmatas par šo tēmu:
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 similarity
detection; DKS-PKI: a distributed key server architecture for public key
infrastructure;generating-set evaluation of bloom filter hardening techniques in private
record linkage; etc
Ostinato: Cross-host Attack Correlation through Attack Activity Similarity
Detection.-DKS-PKI: A Distributed Key Server Architecture for Public Key
Infrastructure.-Generating-Set Evaluation of Bloom Filter Hardening Techniques in Private
Record Linkage.-SHIELD: A Multimodal Deep Learning Framework For Android Malware
Detection.-Samyukta: A Unified Access Control Model using Roles, Labels, and
Attributes.-Efficient and Effective Static Android Malware Detection Using Machine
Learning.-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