Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Machine learning for computer and cyber security : principles, algorithms, and practices / / editors, Brij B. Gupta, Michael Sheng
| Machine learning for computer and cyber security : principles, algorithms, and practices / / editors, Brij B. Gupta, Michael Sheng |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2019] |
| Descrizione fisica | 1 online resource (365 pages) |
| Disciplina | 006.3/1 |
| Soggetto topico |
Computer networks - Security measures - Data processing
Computer security - Data processing Machine learning Artificial intelligence |
| ISBN |
0-429-99572-5
0-429-50404-7 0-429-99571-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Dedication; Foreword; Acknowledgement; Preface; Table of Contents; 1: A Deep Learning-based System for Network Cyber Threat Detection; 2: Machine Learning for Phishing Detection and Mitigation; 3: Next Generation Adaptable Opportunistic Sensing-based Wireless Sensor Networks: A Machine Learning Perspective; 4: A Bio-inspired Approach to Cyber Security; 5: Applications of a Model to Evaluate and Utilize Users' Interactions in Online Social Networks; 6: A Deep-dive on Machine Learning for Cyber Security Use Cases
7: A Prototype Method to Discover Malwares in Android-based Smartphones through System Calls8: Metaheuristic Algorithms-based Feature Selection Approach for Intrusion Detection; 9: A Taxonomy of Bitcoin Security Issues and Defense Mechanisms; 10: Early Detection and Prediction of Lung Cancer using Machine-learning Algorithms Applied on a Secure Healthcare Data-system Architecture; 11: Preventing Black Hole Attack in AODV Routing Protocol using Dynamic Trust Handshake-based Malicious Behavior Detection 12: Detecting Controller Interlock-based Tax Evasion Groups in a Corporate Governance Network13: Defending Web Applications against JavaScript Worms on Core Network of Cloud Platforms; 14: Importance of Providing Incentives and Economic Solutions in IT Security; 15: Teaching Johnny to Thwart Phishing Attacks: Incorporating the Role of Self-efficacy into a Game Application; Index |
| Record Nr. | UNINA-9910793310903321 |
| Boca Raton : , : CRC Press, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning for computer and cyber security : principles, algorithms, and practices / / editors, Brij B. Gupta, Michael Sheng
| Machine learning for computer and cyber security : principles, algorithms, and practices / / editors, Brij B. Gupta, Michael Sheng |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2019] |
| Descrizione fisica | 1 online resource (365 pages) |
| Disciplina | 006.3/1 |
| Soggetto topico |
Computer networks - Security measures - Data processing
Computer security - Data processing Machine learning Artificial intelligence |
| ISBN |
0-429-99572-5
0-429-50404-7 0-429-99571-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Dedication; Foreword; Acknowledgement; Preface; Table of Contents; 1: A Deep Learning-based System for Network Cyber Threat Detection; 2: Machine Learning for Phishing Detection and Mitigation; 3: Next Generation Adaptable Opportunistic Sensing-based Wireless Sensor Networks: A Machine Learning Perspective; 4: A Bio-inspired Approach to Cyber Security; 5: Applications of a Model to Evaluate and Utilize Users' Interactions in Online Social Networks; 6: A Deep-dive on Machine Learning for Cyber Security Use Cases
7: A Prototype Method to Discover Malwares in Android-based Smartphones through System Calls8: Metaheuristic Algorithms-based Feature Selection Approach for Intrusion Detection; 9: A Taxonomy of Bitcoin Security Issues and Defense Mechanisms; 10: Early Detection and Prediction of Lung Cancer using Machine-learning Algorithms Applied on a Secure Healthcare Data-system Architecture; 11: Preventing Black Hole Attack in AODV Routing Protocol using Dynamic Trust Handshake-based Malicious Behavior Detection 12: Detecting Controller Interlock-based Tax Evasion Groups in a Corporate Governance Network13: Defending Web Applications against JavaScript Worms on Core Network of Cloud Platforms; 14: Importance of Providing Incentives and Economic Solutions in IT Security; 15: Teaching Johnny to Thwart Phishing Attacks: Incorporating the Role of Self-efficacy into a Game Application; Index |
| Record Nr. | UNINA-9910799931803321 |
| Boca Raton : , : CRC Press, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning for computer and cyber security : principles, algorithms, and practices / / editors, Brij B. Gupta, Michael Sheng
| Machine learning for computer and cyber security : principles, algorithms, and practices / / editors, Brij B. Gupta, Michael Sheng |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2019] |
| Descrizione fisica | 1 online resource (365 pages) |
| Disciplina | 006.3/1 |
| Soggetto topico |
Computer networks - Security measures - Data processing
Computer security - Data processing Machine learning Artificial intelligence |
| ISBN |
0-429-99572-5
0-429-50404-7 0-429-99571-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Dedication; Foreword; Acknowledgement; Preface; Table of Contents; 1: A Deep Learning-based System for Network Cyber Threat Detection; 2: Machine Learning for Phishing Detection and Mitigation; 3: Next Generation Adaptable Opportunistic Sensing-based Wireless Sensor Networks: A Machine Learning Perspective; 4: A Bio-inspired Approach to Cyber Security; 5: Applications of a Model to Evaluate and Utilize Users' Interactions in Online Social Networks; 6: A Deep-dive on Machine Learning for Cyber Security Use Cases
7: A Prototype Method to Discover Malwares in Android-based Smartphones through System Calls8: Metaheuristic Algorithms-based Feature Selection Approach for Intrusion Detection; 9: A Taxonomy of Bitcoin Security Issues and Defense Mechanisms; 10: Early Detection and Prediction of Lung Cancer using Machine-learning Algorithms Applied on a Secure Healthcare Data-system Architecture; 11: Preventing Black Hole Attack in AODV Routing Protocol using Dynamic Trust Handshake-based Malicious Behavior Detection 12: Detecting Controller Interlock-based Tax Evasion Groups in a Corporate Governance Network13: Defending Web Applications against JavaScript Worms on Core Network of Cloud Platforms; 14: Importance of Providing Incentives and Economic Solutions in IT Security; 15: Teaching Johnny to Thwart Phishing Attacks: Incorporating the Role of Self-efficacy into a Game Application; Index |
| Record Nr. | UNINA-9910814465803321 |
| Boca Raton : , : CRC Press, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||