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 | ||
|
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 | ||
|
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 | ||
|