New and developing technologies inevitably bring new types of malware with them, creating a huge demand for IT professionals that can keep malware at bay. With the help of this updated second edition of Mastering Malware Analysis, you'll be able to add valuable reverse-engineeri…
New and developing technologies inevitably bring new types of malware with them, creating a huge demand for IT professionals that can keep malware at bay. With the help of this updated second edition of Mastering Malware Analysis, you'll be able to add valuable reverse-engineeri…
New and developing technologies inevitably bring new types of malware with them, creating a huge demand for IT professionals that can keep malware at bay. With the help of this updated second edition of Mastering Malware Analysis, you'll be able to add valuable reverse-engineeri…
This SpringerBrief discusses underlying principles of malware reverse engineering and introduces the major techniques and tools needed to effectively analyze malware that targets business organizations. It also covers the examination of real-world malware samples, which illustra…
This SpringerBrief discusses underlying principles of malware reverse engineering and introduces the major techniques and tools needed to effectively analyze malware that targets business organizations. It also covers the examination of real-world malware samples, which illustra…
Presents an actionable blueprint for organizations seeking a robust defense against one of the most destructive IT threats and learning about concrete steps that can be taken now to protect organizations from ransomware attacks.
Youll learn about concrete steps you can take now to protect yourself or your organization from ransomware attacks. --
Presents an actionable blueprint for organizations seeking a robust defense against one of the most destructive IT threats and learning about concrete steps that can be taken now to protect organizations from ransomware attacks.
Presents an actionable blueprint for organizations seeking a robust defense against one of the most destructive IT threats and learning about concrete steps that can be taken now to protect organizations from ransomware attacks.
The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) …
"This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensiv…
Advances in malware and data-driven network security
"This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensiv…
Advances in malware and data-driven network security
"This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensiv…
Advances in malware and data-driven network security
"This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensiv…
"This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensiv…
"This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensiv…