Security and Privacy in Communication Networks
Springer International Publishing (Verlag)
978-3-031-25537-3 (ISBN)
The 43 full papers included in this book were carefully reviewed and selected from 130 submissions. They were organized in topical sections as follows: AI for Security, Applied Cryptography, Binary Analysis, Blockchain, Cryptography, Data Security, Intrusion Detection, Mobile Security, Network Security, Privacy, Software Security, Security and Privacy-preserving Solutions in the Internet of Things (S/P-IoT).
AI for Security.- Classification-Based Anomaly Prediction in XACML Policies.- An Evolutionary Learning Approach towards the Open Challenge of IoT Device Identification.- SecureBERT: A Domain-Specific Language Model for Cybersecurity.- CapsITD: Malicious Insider Threat Detection Based on Capsule Neural Network.- Towards high transferability on neural network for black-box adversarial attacks.- Coreference Resolution for Cybersecurity Entity: Towards Explicit, Comprehensive Cybersecurity Knowledge Graph with Low Redundancy.- Applied Cryptography.- Another Lattice Attack against ECDSA with the wNAF to Recover More Bits per Signature.- MAG-PUF: Magnetic Physical Unclonable Functions for Device Authentication in the IoT.- A Cross-layer Plausibly Deniable Encryption System for Mobile Devices.- Binary Analysis.- Language and platform independent attribution of heterogeneous code.- Multi-relational Instruction Association Graph for Cross-architecture Binary Similarity Comparison.- Cost-effective malware classification based on deep active learning.- Blockchain.- CTDRB: Controllable Timed Data Release using Blockchains.- FairBlock: Preventing Blockchain Front-running with Minimal Overheads.- Blockchain-based Ciphertext Policy-hiding Access Control Scheme.- Granting Access Privileges using OpenID Connect in Permissioned Distributed Ledgers.- Decentralized and Efficient Blockchain Rewriting with Bi-level Validity Verification.- Cryptography.- TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation.- Symmetrical Disguise: Realizing Homomorphic Encryption Services from Symmetric Primitives.- Replicated additive secret sharing with the optimized number of shares.- Generic 2-Party PFE with Constant Rounds and Linear Active Security, and Efficient Instantiation.- Data Security.- A Random Reversible Watermarking Schefme for Relational Data.- Enabling Accurate Data Recovery for Mobile Devices against Malware Attacks.- Bootstrapping Trust in Community Repository Projects.- Intrusion Detection.- Assessing the Quality of Differentially Private Synthetic Data for Intrusion Detection.- Forensic Analysis and Detection of Spoofing based Email Attack using Memory Forensics and Machine Learning.- AttackMiner: A Graph Neural Network Based Approach for Attack Detection from Audit Logs.- Hiatus: Unsupervised Generative Approach for Detection of DoS and DDoS Attacks.- Mobile Security.- What Data Do The Google Dialer and Messages Apps On Android Send to Google?.- Detection and Privacy Leakage Analysis of Third-party Libraries in Android Apps.- Secure CV2X using COTS Smartphones over LTE Infrastructure.- Network Security.- DQR: A Double Q Learning Multi Agent Routing Protocol for Wireless Medical Sensor Network.- Message Recovery Attack of Kyber Based on Information Leakage in Decoding Operation.- PII-PSM: A New Targeted Password Strength Meter Using Personally Identifiable Information.- Privacy.- Silver Surfers on the Tech Wave: Privacy Analysis of Android Apps for the Elderly.- MetaPriv: Acting in Favor of Privacy on Social Media Platforms.- Adversary for Social Good: Leveraging AttributeObfuscating Attack to Protect User Privacy on Social Networks.- Software Security.- No-Fuzz: Efficient Anti-Fuzzing Techniques.- eSROP attack: leveraging signal handler to implement Turing-complete attack under CFI defense.- Breaking Embedded Software Homogeneity with Protocol Mutations.- Security and Privacy-preserving Solutions in the Internet of Things (S/P-IoT).- A Generalized Unknown Malware Classification.- Research on the Grouping Method of Side-Channel Leakage Detection.- PREFHE, PREFHE-AES and PREFHE-SGX: Secure Multiparty Computation Protocols from Fully Homomorphic Encryption and Proxy ReEncryption With AES and Intel SGX.
| Erscheinungsdatum | 06.02.2023 |
|---|---|
| Reihe/Serie | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Zusatzinfo | XV, 840 p. 232 illus., 189 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1288 g |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Schlagworte | Applications • Computer Science • conference proceedings • Informatics • Research |
| ISBN-10 | 3-031-25537-2 / 3031255372 |
| ISBN-13 | 978-3-031-25537-3 / 9783031255373 |
| Zustand | Neuware |
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