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Produktbild: Information and Communications Security
Band 11999

Information and Communications Security 21st International Conference, ICICS 2019, Beijing, China, December 15–17, 2019, Revised Selected Papers

Aus der Reihe Security and Cryptology

51,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.02.2020

Abbildungen

XVII, 833 p. 79 illus.

Herausgeber

Jianying Zhou + weitere

Verlag

Springer

Seitenzahl

833

Maße (L/B/H)

23,5/15,5/4,6 cm

Gewicht

1270 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-41578-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.02.2020

Abbildungen

XVII, 833 p. 79 illus.

Herausgeber

Verlag

Springer

Seitenzahl

833

Maße (L/B/H)

23,5/15,5/4,6 cm

Gewicht

1270 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-41578-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Information and Communications Security
  • Prototype-based malware trafic classification with novelty detection.- Evading API Call Sequence Based Malware Classifiers.- UBER: Combating Sandbox Evasion via User Behavior Emulators.- AADS: A Noise-Robust Anomaly Detection Framework for Industrial Control Systems.- Maged Abdelaty, Roberto Doriguzzi-Corin and Domenico Siracusa Characterizing Internet-scale ICS Automated Attacks through Long-term Honeypot Data.- Cloning Vulnerability Detection in Driver Layer of IoT Devices.- Impact of Multiple Re ections on Secrecy Capacity of Indoor VLC System.- Road Context-aware Intrusion Detection System for Autonomous Cars.- Enterprise Network Security.- Automated Cyber Threat Intelligence Reports Classification for Early Warning of Cyber Attacks in Next Generation SOC.- HeteroUI:A Framework Based on Heterogeneous Information Network Embedding for User Identification in Enterprise Networks.- CTLMD: Continuous-Temporal Lateral Movement Detection Using Graph Embedding.- VulHunter: An Automated Vulnerability Detection System based on Deep Learning and Bytecode.- Deep Learning-Based Vulnerable Function Detection: A Benchmark.- Automatic Demirci-Sel cuk Meet-in-the-Middle Attack on SKINNY with Key-bridging.- SecFlush: A Hardware/Software Collaborative Design for Real-Time Detection and Defense against Flush-Based Cache Attacks.- CDAE: Towards Empowering Denoising in Side-Channel Analysis.- Practical Evaluation Methodology of Higher-order Maskings at Different Operating Frequencies.- Privacy-Preserving eID Derivation for Self-Sovereign Identity Systems.- Provably Secure Group Authentication in the Asynchronous Communication Model.- AGE: Authentication Graph Embedding for Detecting Anomalous Login Activities.- A Multi-group Signature Scheme from Lattices.- Ciphertext Policy Attribute-Based Encryption for Circuits from LWE Assumption.- Using Equivalent Class to Solve Interval Discrete Logarithm Problem.- Parallel Steepest Ascent Hill-Climbing for High Nonlinear Boolean and VectorialBoolean Functions (S-Boxes).- Accelerating SM2 Digital Signature Algorithm using Modern Processor Features.- Improved Di erential Attacks on GIFT-64.- Adaptively Secure Puncturable Pseudorandom Functions via Puncturable Identity-Based KEMs.- Context-aware IPv6 Address Hopping.- Towards Homograph-confusable Domain Name Detection using Dual-channel CNN.- FraudJudger: Fraud Detection on Digital Payment Platforms with Fewer Labels.- CloudCoT: A Blockchain-based Cloud Service Dependency Attestation Framework.- An Adversarial Attack Based on Multi-Objective Optimization in the Neuron Selecting: Defending against Adversarial Examples in Deep Neural Networks.- Capturing the Persistence of Facial Expression Features for Deepfake.- Video Detection.- Differentially Private Frequent Itemset Mining against Incremental Updates.- Privacy-Preservinig Distributed Machine Learning based on Secret Sharing.- Privacy-preserving Decentralised Singular Value Decomposition.- WSLD: Detecting Unknown Webshell Using Fuzzy Matching and Deep Learning.- A Character-Level BiGRU-Attention For Phishing Classification.- Tear O Your Disguise: Phishing Website Detection using Visual and Network Identities.- Steganography and Steganalysis.- Hierarchical Repesentation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals.- Convolutional Neural Network based Side-Channel Attacks with Customized Filters.- DLchain: a Covert Channel over Blockchain based on Dynamic Labels.