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Combating Security Challenges in the Age of Big Data [[electronic resource] ] : Powered by State-of-the-Art Artificial Intelligence Techniques / / edited by Zubair Md. Fadlullah, Al-Sakib Khan Pathan
Combating Security Challenges in the Age of Big Data [[electronic resource] ] : Powered by State-of-the-Art Artificial Intelligence Techniques / / edited by Zubair Md. Fadlullah, Al-Sakib Khan Pathan
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (271 pages)
Disciplina 005.8
Collana Advanced Sciences and Technologies for Security Applications
Soggetto topico Data protection
Big data
Artificial intelligence
System safety
Electrical engineering
Security
Big Data
Artificial Intelligence
Security Science and Technology
Communications Engineering, Networks
ISBN 3-030-35642-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Secure Big data Transmission with Trust management for the Internet of Things (IoT) -- Concept Drift for Big Data -- Classification of Outlier’s Detection Methods Based on Quantitative Or Semantic Learning -- Cognitive Artificial Intelligence Countermeasure For Enhancing The Security Of Big Data Hardware From Power Analysis Attack -- On the Secure Routing Protocols, Selfishness Mitigation, and Trust in Mobile Ad Hoc Networks -- Deep Learning Approaches For IoT Security In The Big Data Era -- Deep Learning meets Malware Detection: An Investigation -- The Utilization of Blockchain for Enhancing Big Data Security and Veracity -- Authentication Methodology for Securing Machine-to-Machine Communication in Smart Grid -- Combating Intrusions in Smart Grid: Practical Defense and Forecasting Approaches -- Blockchain-based Distributed Key Management Approach Tailored for Smart Grid.
Record Nr. UNISA-996465360103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Combating Security Challenges in the Age of Big Data : Powered by State-of-the-Art Artificial Intelligence Techniques / / edited by Zubair Md. Fadlullah, Al-Sakib Khan Pathan
Combating Security Challenges in the Age of Big Data : Powered by State-of-the-Art Artificial Intelligence Techniques / / edited by Zubair Md. Fadlullah, Al-Sakib Khan Pathan
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (271 pages)
Disciplina 005.8
Collana Advanced Sciences and Technologies for Security Applications
Soggetto topico Data protection
Big data
Artificial intelligence
System safety
Electrical engineering
Security
Big Data
Artificial Intelligence
Security Science and Technology
Communications Engineering, Networks
ISBN 3-030-35642-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Secure Big data Transmission with Trust management for the Internet of Things (IoT) -- Concept Drift for Big Data -- Classification of Outlier’s Detection Methods Based on Quantitative Or Semantic Learning -- Cognitive Artificial Intelligence Countermeasure For Enhancing The Security Of Big Data Hardware From Power Analysis Attack -- On the Secure Routing Protocols, Selfishness Mitigation, and Trust in Mobile Ad Hoc Networks -- Deep Learning Approaches For IoT Security In The Big Data Era -- Deep Learning meets Malware Detection: An Investigation -- The Utilization of Blockchain for Enhancing Big Data Security and Veracity -- Authentication Methodology for Securing Machine-to-Machine Communication in Smart Grid -- Combating Intrusions in Smart Grid: Practical Defense and Forecasting Approaches -- Blockchain-based Distributed Key Management Approach Tailored for Smart Grid.
Record Nr. UNINA-9910409664103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smart Grid and Internet of Things : Second EAI International Conference, SGIoT 2018, Niagara Falls, ON, Canada, July 11, 2018, Proceedings / / edited by Al-Sakib Khan Pathan, Zubair Md. Fadlullah, Mohamed Guerroumi
Smart Grid and Internet of Things : Second EAI International Conference, SGIoT 2018, Niagara Falls, ON, Canada, July 11, 2018, Proceedings / / edited by Al-Sakib Khan Pathan, Zubair Md. Fadlullah, Mohamed Guerroumi
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (X, 143 p. 76 illus., 40 illus. in color.)
Disciplina 621.319
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer organization
Computers
Data protection
Computer Systems Organization and Communication Networks
Information Systems and Communication Service
Security
Computing Milieux
ISBN 3-030-05928-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto IoT Big Data Analytics with Fog Computing for Household Energy Management in Smart Grids -- Secured Cancer Care and Cloud Services in IoT/WSN Based Medical Systems -- Privacy Preserving for Location-based IoT Services -- Smart Home Security Application Enabled by IoT: Using -- An MQTT-Based Scalable Architecture for Remote Monitoring and Control of Large-Scale Solar Photovoltaic Systems -- A Smart Meter Firmware Update Strategy through Network Coding for AMI Network -- Protected Bidding Against Compromised Information Injection in IoT-based Smart Grid -- A Chain Based Signature Scheme for Uplink and Downlink Communications in AMI Networks -- Robustness situations in cases of node failure and packet collision enabled by TCNet: Trellis Coded Network - a new algorithm and routing protocol -- Effectiveness of Hard Clustering Algorithms for Securing Cyber Space -- On Data Driven Organizations and the Necessity of Interpretable Models -- A Multi-Factor Authentication Method for Security of Online Examinations -- Evaluation Metrics for Big Data Project Management.
Record Nr. UNINA-9910337837403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui