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Malware : Handbook of Prevention and Detection / / edited by Dimitris Gritzalis, Kim-Kwang Raymond Choo, Constantinos Patsakis
| Malware : Handbook of Prevention and Detection / / edited by Dimitris Gritzalis, Kim-Kwang Raymond Choo, Constantinos Patsakis |
| Autore | Gritzalis Dimitris |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina |
005.8
323.448 |
| Altri autori (Persone) |
ChooKim-Kwang Raymond
PatsakisConstantinos |
| Collana | Advances in Information Security |
| Soggetto topico |
Data protection - Law and legislation
Artificial intelligence Computer networks - Security measures Privacy Artificial Intelligence Mobile and Network Security |
| ISBN |
9783031662454
3031662458 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Theoretical foundation and modeling -- Chapter 1 Classifying Malware using Tensor Decomposition -- Chapter 2 Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks -- Chapter 3 Mathematical models for malware propagation: state of art and perspectives -- Chapter 4 Botnet Defense System: A System to Fight Botnets with Botnets -- Part II Machine learning for malware classification -- Chapter 5 Machine Learning-Based Malware Detection in a Production Setting -- Chapter 6 Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research -- Chapter 7 Conventional Machine Learning-based Android Malware Detectors -- Chapter 8 Conventional Machine Learning-based Android Malware Detectors -- Chapter 9 Method to automate the classification of PE32 malware using Word2vec and LSTM -- Part III Social and legal -- Chapter 10 The South African and Senegalese legislative response to malware facilitated cybercrime -- Chapter 11Malware as a Geopolitical Tool.-Part IV Malware analysis in practice and evasions -- Chapter 12 Advancements in Malware Evasion: Analysis Detection and the Future Role of AI.-Chapter 13 Unpacking malware in the real world: a step by step guide -- Chapter 14 Forensic Analysis of CapraRAT Android Malware -- Chapter 15 Hidden Realms: Exploring Steganography Methods in Games for Covert Malware Delivery -- Part V Malware ecosystem -- Chapter 16 The Malware as a Service ecosystem -- Chapter 17Preventing and detecting malware in smart environments. The smart home case. |
| Record Nr. | UNINA-9910983358003321 |
Gritzalis Dimitris
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Privacy and Data Protection Challenges in the Distributed Era
| Privacy and Data Protection Challenges in the Distributed Era |
| Autore | Politou Eugenia |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (195 pages) |
| Altri autori (Persone) |
AlepisEfthimios
VirvouMaria PatsakisConstantinos |
| Collana | Learning and Analytics in Intelligent Systems Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-85443-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Series Editor's Foreword -- References -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Book Objectives -- 1.2 Book Structure -- References -- 2 Privacy and Personal Data Protection -- 2.1 Introduction -- 2.2 The Value of Personal Data -- 2.3 The Value of Data Privacy -- 2.4 The Rights to Privacy and to Data Protection -- 2.5 Privacy in the Tax and Financial Domain -- References -- 3 The General Data Protection Regulation -- 3.1 Introduction -- 3.2 Introduction to the GDPR -- 3.3 The GDPR Data Protection Principles -- 3.4 Consent and Revocation -- 3.4.1 Consent Misuses -- 3.4.2 Consent Under the GDPR -- 3.4.3 Current Efforts for Revoking Consent -- 3.5 The Right to be Forgotten -- 3.5.1 Forgetting and the Need to be Forgotten -- 3.5.2 About the CJEU Decision -- 3.5.3 The Right to be Forgotten Under the GDPR -- References -- 4 The ``Right to Be Forgotten'' in the GDPR: Implementation Challenges and Potential Solutions -- 4.1 Introduction -- 4.2 Implementation Challenges -- 4.3 The Impact of the GDPR on Backups and Archives -- 4.3.1 GDPR Provisions for Backups and Archives -- 4.3.2 The Process of Backing up -- 4.3.3 IT Security Standards for Backup Procedures -- 4.3.4 Impact Analysis of Implementing the RtbF on Backups -- 4.4 Towards GDPR Compliance -- References -- 5 State-of-the-Art Technological Developments -- 5.1 Introduction -- 5.2 Mobile Ubiquitous Computing -- 5.2.1 Affective Computing -- 5.2.2 Mobile Affective Computing and Ubiquitous Sensing -- 5.3 Decentralized p2p Networks -- 5.3.1 Blockchain -- 5.3.2 Decentralized Storage and File Sharing -- References -- 6 Privacy in Ubiquitous Mobile Computing -- 6.1 Introduction -- 6.2 Privacy Risks in Mobile Computing -- 6.2.1 Privacy and Big Data -- 6.2.2 Informed Consent -- 6.2.3 Risk of Re-Identification -- 6.2.4 Risk of Profiling.
6.2.5 The Risks of Tax and Financial Profiling -- 6.2.6 Towards Accountable, Transparent and Fairer Profiling and Automated Decision Making -- 6.3 Mitigating Privacy Risks Under the GDPR -- 6.3.1 Profiling and Automated Decision Making Under the GDPR -- 6.3.2 Implementation Challenges and Countermeasures -- 6.3.3 The Future of Big Data Profiling Under the GDPR -- References -- 7 Privacy in Blockchain -- 7.1 Introduction -- 7.2 Blockchain Privacy -- 7.3 Blockchain's Immutability and the ``Right to Be Forgotten'' -- 7.4 Current Efforts for Balancing Immutability and the RtbF -- 7.4.1 Bypassing Blockchain's Immutability -- 7.4.2 Removing Blockchain's Immutability -- 7.5 The Controversy -- References -- 8 Implementing Content Erasure in IPFS -- 8.1 Introduction -- 8.2 Storing Off-Chain Personal Data in the IPFS -- 8.3 Erasing Content in IPFS -- 8.4 The Requirement for Total Content Erasure -- 8.5 Towards Aligning IPFS with the RtbF -- 8.6 The Proposed Protocol -- 8.6.1 Assumptions and Desiderata -- 8.6.2 Threat Model -- 8.6.3 IPFS Delegated Erasure Protocol -- 8.6.4 Security Proof -- 8.6.5 Protocol Efficiency -- 8.6.6 Limitations and Countermeasures -- References -- 9 Privacy in the COVID-19 Era -- 9.1 Introduction -- 9.2 Contact Tracing Apps -- 9.3 Immunity Passports -- 9.4 Privacy and Data Protection in the Pandemic -- 9.5 Conclusions -- References -- 10 Open Questions and Future Directions -- 10.1 Introduction -- 10.1.1 Forgetting Implementation Standards -- 10.1.2 Big Data Analytics -- 10.1.3 Backups and Archives -- 10.1.4 Blockchain -- 10.1.5 IPFS and Other Decentralized P2p File Storage Systems -- References -- 11 Conclusions -- 11.1 Introduction -- References. |
| Record Nr. | UNINA-9910506403603321 |
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Politou Eugenia
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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