| Autore |
Shrivastava Gulshan
|
| Edizione | [1st ed.] |
| Pubbl/distr/stampa |
Newark : , : John Wiley & Sons, Incorporated, , 2024
|
| Descrizione fisica |
1 online resource (533 pages)
|
| Disciplina |
005.8
|
| Altri autori (Persone) |
OjhaRudra Pratap
AwasthiShashank
SharmaKavita
BansalHimani
|
| Collana |
Advances in Antenna, Microwave, and Communication Engineering Series
|
| Soggetto topico |
Computer security
|
| ISBN |
9781394230587
1394230583
9781394230600
1394230605
9781394230594
1394230591
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Emerging Threats and Trends in Digital Forensics and Cybersecurity -- 1.1 Introduction -- 1.2 Threats Faced by Digital Forensics -- 1.2.1 Technical Challenges -- 1.2.2 Operational Challenges -- 1.2.3 Personnel-Related Challenges -- 1.3 Cybersecurity Threats in 2023 -- 1.3.1 Social Engineering -- 1.3.2 Third-Party Exposure -- 1.3.3 Configuration Mistakes -- 1.3.4 Poor Cyber Hygiene -- 1.3.5 Cloud Vulnerabilities -- 1.3.6 Mobile Device Vulnerabilities -- 1.3.7 Internet of Things (IoT) -- 1.3.8 Ransomware -- 1.3.9 Poor Data Management -- 1.3.10 Inadequate Post-Attack Procedures -- 1.4 New Era of Technology and Their Risks -- 1.4.1 Autonomous Vehicles -- 1.4.2 Artificial Intelligence -- 1.4.3 Robotics and Robotics Process Automation -- 1.4.4 Internet of Things (IoT) -- 1.4.5 5G -- 1.5 Challenges for Digital Forensics -- 1.5.1 High Speed and Volumes -- 1.5.2 Explosion Complexity -- 1.5.3 Development of Standards -- 1.5.4 Privacy-Preserving Investigations -- 1.5.5 Legitimacy -- 1.5.6 Rise of Anti-Forensic Techniques -- 1.6 Impact of Mobile Gadgets on Cybersecurity -- 1.7 The Vulnerabilities in Wireless Mobile Data Exchange -- 1.7.1 Interception of Data -- 1.7.2 Malware Attacks -- 1.7.3 Rogue Access Points -- 1.7.4 Denial of Service Attacks -- 1.7.5 Weak Encryption -- 1.8 Network Segmentation and its Applications -- 1.8.1 Applications -- 1.8.2 Benefits of Network Segmentation -- 1.9 Relationship Between Privacy and Security -- 1.9.1 Security -- 1.9.2 Privacy -- 1.10 Recent Trends in Digital Forensics -- 1.10.1 Cloud Forensics -- 1.10.2 Social Media Forensics -- 1.10.3 IoT Forensics -- 1.11 Opportunities in this Field -- 1.11.1 USB Forensics -- 1.11.2 Intrusion Detection -- 1.11.3 Artificial Intelligence (AI) -- 1.12 Future Enhancements in Digital Forensics.
1.13 Cybersecurity and Cyber Forensics in Smart Cities -- 1.13.1 Smart Cities are Entitled to Cyber-Physical Systems -- 1.13.1.1 Administrative -- 1.13.1.2 Complex CPS in a Glimpse -- 1.13.1.3 IoT Technologies in Smart Cities of the Future -- 1.14 Network Security and Forensics -- 1.15 Software and Social Engineering Attacks on RSA -- 1.16 Cyber Threats and Cybersecurity -- 1.17 Conclusion -- Bibliography -- Chapter 2 Toward Reliable Image Forensics: Deep Learning-Based Forgery Detection -- 2.1 Introduction -- 2.2 Fundamentals of Image Forensics -- 2.2.1 History -- 2.2.2 Image Forgery Types -- 2.2.3 Classical Image Forensics Techniques -- 2.3 Deep Learning in Image Forensics -- 2.3.1 Convolutional Neural Networks (CNNs) -- 2.3.2 Generative Adversarial Networks (GANs) -- 2.4 Datasets of Image Forgery Detection -- 2.5 Feature Extraction and Representation -- 2.6 Model Training and Evaluation -- 2.6.1 Model Training -- 2.6.2 Loss Functions -- 2.6.3 Evaluation Metrics -- 2.7 Challenges and Future Scope -- 2.8 Conclusion -- References -- Chapter 3 Understanding and Mitigating Advanced Persistent Threats in a Dynamic Cyber Landscape -- 3.1 Introduction -- 3.1.1 Advanced -- 3.1.2 Persistent -- 3.1.3 Threat -- 3.1.3.1 Vulnerability -- 3.1.3.2 Risk -- 3.2 APT Lifecycle -- 3.3 Characteristics and Methods of APTs -- 3.4 APT Detection -- 3.5 Mitigation Techniques -- 3.5.1 Application Control/Dynamic Whitelisting -- 3.5.2 Vulnerability Assessment -- 3.5.3 Patch Management -- 3.5.4 Automated Exploit Prevention -- 3.6 Case Study: CozyDuke APT -- Conclusion -- References -- Chapter 4 Class-Imbalanced Problems in Malware Analysis and Detection in Classification Algorithms -- 4.1 Introduction -- 4.2 Background -- 4.2.1 Malware Analysis and Types -- 4.2.2 Class-Imbalanced Problem -- 4.2.3 Imbalanced Techniques -- 4.3 Related Work.
4.4 Detailed Overview of the Methodology -- 4.4.1 Dataset Information -- 4.4.2 Different Evaluation Metrics Used for Class-Imbalanced Study -- 4.4.3 Machine Learning Classifiers -- 4.4.4 Exiting Methods Used for Handling the Class Imbalanced -- 4.5 Discussion and Challenges -- 4.5.1 Research Question -- 4.5.2 Challenges -- 4.6 Conclusion -- References -- Chapter 5 Malware Analysis and Detection: New Approaches and Techniques -- 5.1 Introduction -- 5.2 Malware -- 5.2.1 History of Malware -- 5.2.2 Different Forms of Malware -- 5.2.3 Purpose of Malware Analysis -- 5.3 Case Studies -- 5.4 Future Aspects -- 5.5 Conclusion -- References -- Chapter 6 State-of-the-Art in Ransomware Analysis and Detection -- 6.1 Introduction -- Evolution -- Lifecycle -- Infection Method -- Targets of Ransomware Attacks -- Payment Process and Method -- Ransomware Analysis -- Ransomware Detection -- Ransomware Prevention -- Recovery -- Characteristics -- Difficulties -- Impact of Ransomware Attacks -- Statistics -- Conclusion -- References -- Chapter 7 Cyber-Physical System Security: Challenges and Countermeasures -- 7.1 Introduction -- 7.1.1 Definition and Characteristics of CPS -- 7.1.2 Importance and Applications of CPS -- 7.1.3 Overview of CPS Security Concerns -- 7.2 Challenges in CPS Security -- 7.2.1 Threat Landscape in CPS -- 7.2.2 Vulnerabilities in CPS -- 7.2.2.1 Interconnected System Vulnerabilities -- 7.2.2.2 Lack of Standardized Security Frameworks -- 7.2.2.3 Legacy System Compatibility Issues -- 7.2.2.4 Human Factors and Social Engineering -- 7.3 Security Risks and Consequences -- 7.3.1 Financial Losses and Economic Impact -- 7.3.2 Public Safety and Critical Infrastructure Risks -- 7.3.3 Privacy and Data Breaches -- 7.4 Key Considerations for CPS Security -- 7.4.1 Secure Design and Architecture Principles -- 7.4.1.1 Defense-in-Depth Strategy.
7.4.1.2 Secure Communication Protocols -- 7.4.1.3 Access Control and Authentication Mechanisms -- 7.4.2 Threat Modeling and Risk Assessment -- 7.4.3 Intrusion Detection and Prevention Systems (IDPS) -- 7.4.4 Secure Software Development Practices -- 7.4.4.1 Secure Coding Guidelines -- 7.4.4.2 Code Reviews and Vulnerability Testing -- 7.5 Countermeasures for CPS Security -- 7.5.1 Network Security Measures -- 7.5.1.1 Firewalls and Network Segmentation -- 7.5.1.2 IDPS -- 7.5.2 Physical Security Controls -- 7.5.2.1 Access Controls and Physical Barriers -- 7.5.2.2 Surveillance and Monitoring Systems -- 7.5.3 Incident Response and Recovery Plans -- 7.5.3.1 Incident Handling Procedures -- 7.5.3.2 Backup and Disaster Recovery Strategies -- 7.5.4 Security Awareness and Training Programs -- 7.6 Case Studies and Examples -- 7.6.1 Case Study 1: Industrial Control System (ICS) Security -- 7.6.1.1 Countermeasures -- 7.6.2 Case Study 2: Smart Cities and Infrastructure Protection -- 7.6.2.1 Countermeasures -- 7.6.3 Case Study 3: Autonomous Vehicles and Transportation Systems -- 7.6.3.1 Countermeasures -- 7.7 Future Directions and Emerging Technologies -- 7.7.1 Impact of Emerging Technologies on CPS Security -- 7.7.2 Challenges and Opportunities in Securing CPS in the Future -- 7.8 Conclusion -- References -- Chapter 8 Unraveling the Ethical Conundrum: Privacy Challenges in the Realm of Digital Forensics -- 8.1 Introduction -- 8.2 Fundamental Concepts in Digital Forensics -- 8.3 Privacy Concerns in AI Technology: Security Systems and Cyber Forensics -- 8.4 Maintaining Integrity of Evidence in Forensic Investigations -- 8.5 Ethical Obligations of Forensic Investigators -- 8.6 Conclusion -- References -- Chapter 9 IoT and Smart Device Security: Emerging Threats and Countermeasures -- 9.1 Introduction -- 9.2 The Growth of IoT and Smart Devices.
9.3 Emerging Threat Landscape -- 9.4 Device Vulnerabilities and Exploits -- 9.5 Data Privacy and Leakage -- 9.5.1 Data Privacy Concerns in IoT -- 9.5.2 Data Leakage Concerns in IoT -- 9.6 Network Attacks and Amplification -- 9.6.1 Network Attacks in IoT -- 9.6.2 Amplification Attacks in IoT -- 9.6.3 Preventive Measures and Mitigation -- 9.7 Physical Attacks on Smart Devices -- 9.8 Supply Chain Risks in IoT Ecosystem -- 9.9 Lack of Standardization in IoT Security -- 9.10 Countermeasures and Best Practices -- 9.11 Conclusion and Future Directions -- 9.11.1 Future Directions and Countermeasures -- References -- Chapter 10 Advanced Security for IoT and Smart Devices: Addressing Modern Threats and Solutions -- 10.1 Introduction -- 10.1.1 Overview of IoT and Smart Devices -- 10.1.2 Importance of Security in IoT and Smart Devices -- 10.1.3 Scope of the Chapter -- 10.2 IoT and Smart Device Landscape -- 10.2.1 Growth and Adoption of IoT and Smart Devices -- 10.2.2 Types and Examples of IoT and Smart Devices -- 10.2.3 Challenges in Securing IoT and Smart Devices -- 10.3 Emerging Threats in IoT and Smart Device Security -- 10.3.1 Malware and Ransomware Attacks -- 10.3.2 Device Exploitation and Hijacking -- 10.3.3 Data Breaches and Privacy Concerns -- 10.3.4 Distributed Denial of Service (DDoS) Attacks -- 10.3.5 Supply Chain Attacks -- 10.3.6 Insider Threats -- 10.3.7 Physical Security Risks -- 10.4 Vulnerabilities in IoT and Smart Devices -- 10.4.1 Insecure Communication Protocols -- 10.4.2 Weak Authentication and Authorization -- 10.4.3 Lack of Security Updates and Patch Management -- 10.4.4 Default or Hardcoded Credentials -- 10.4.5 Lack of Device Integrity Verification -- 10.4.6 Insufficient Encryption -- 10.4.7 Inadequate Access Controls -- 10.5 Countermeasures and Best Practices -- 10.5.1 Secure Device Design and Development.
10.5.2 Robust Authentication and Access Controls.
|
| Record Nr. | UNINA-9911019501303321 |
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Bioactive compounds in nutraceutical and functional food for good human health / / edited by Kavita Sharma [and three others]
