05002nam a22006615i 4500 978-3-031-65172-4 DE-He213 20251030112627.0 cr nn 008mamaa 240713s2024 sz | s |||| 0|eng d 9783031651724 978-3-031-65172-4 10.1007/978-3-031-65172-4 doi QA76.9.A25 UR bicssc UTN bicssc COM053000 bisacsh UR thema UTN thema Data and Applications Security and Privacy XXXVIII [electronic resource] : 38th Annual IFIP WG 11.3 Conference, DBSec 2024, San Jose, CA, USA, July 15–17, 2024, Proceedings / edited by Anna Lisa Ferrara, Ram Krishnan. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XV, 342 p. 100 illus., 77 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 14901 -- Access Control. -- A Graph-based Framework for ABAC Policy Enforcement and Analysis. -- Human Digital Twins: Efficient Privacy-Preserving Access Control Through Views Pre-Materialisation. -- IAM Meets CTI: Make Identity and Access Management ready for Cyber Threat Intelligence. -- Crypto Application. -- SmartSSD-Accelerated Cryptographic Shuffling for Enhancing Database Security. -- Ensuring End-to-End IoT Data Security & Privacy through Cloud-Enhanced Confidential Computing. -- Towards Atomicity and Composability in Cross-Chain NFTs. -- A Privacy-Preserving Graph Encryption Scheme Based on Oblivious RAM. -- Privacy. -- DT-Anon: Decision Tree Target-Driven Anonymization. -- Visor: Privacy-preserving Reputation for Decentralized Marketplaces. -- Attack. -- Resiliency Analysis of Mission-critical System of Systems Using Formal Methods. -- Enhancing EV Charging Station Security Using A Multi-dimensional Dataset : CICEVSE2024. -- Optimal Automated Generation of Playbooks. -- ML Attack, Vulnerablity. -- ALERT: A Framework for Efficient Extraction of Attack Techniques from Cyber Threat Intelligence Reports Using Active Learning. -- VulPrompt: Prompt-based Vulnerability Detection using Few-shot Graph Learning. -- All Your LLMs Belong To Us: Experiments with a New Extortion Phishing Dataset. -- Adaptive Image Adversarial Example Detection Based on Class Activation Mapping. -- Security User Studies. -- From Play to Profession: A Serious Game to Raise Awareness on Digital Forensics. -- User Perception of CAPTCHAs: A Comparative Study between University and Internet Users. -- Differential Privacy. -- Incentivized Federated Learning with Local Differential Privacy using Permissioned Blockchains. -- Does Differential Privacy Prevent Backdoor Attacks in Practice?. This book constitutes the proceedings from the 38th Annual IFIP 11.3 Conference on Data and Applications Security and Privacy XXXVIII, DBSec 2024, held in San Jose, CA, USA, during July 15–17, 2024. The 14 full papers and 6 short papers presented were carefully reviewed and selected from 39 submissions. The papers are organized in the following topical sections: access control; crypto application; privacy; attack; ml attack, vulnerability; security user studies; and differential privacy. Data protection. Computers. 65793 Artificial intelligence. 58441 Data structures (Computer science). 66708 Information theory. 57783 Database management. 60571 Application software. Data and Information Security. 66492 Computing Milieux. 66530 Artificial Intelligence. 58441 Data Structures and Information Theory. 66709 Database Management System. Computer and Information Systems Applications. Ferrara, Anna Lisa. editor. (orcid)0000-0002-1026-5729 https://orcid.org/0000-0002-1026-5729 edt http://id.loc.gov/vocabulary/relators/edt 80520 Krishnan, Ram. editor. (orcid)0000-0002-7402-553X https://orcid.org/0000-0002-7402-553X edt http://id.loc.gov/vocabulary/relators/edt 80521 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031651717 Printed edition: 9783031651731 Lecture Notes in Computer Science, 1611-3349 ; 14901 https://doi.org/10.1007/978-3-031-65172-4 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 61574 61574