Titlebook: Cyber Malware; Offensive and Defens Iman Almomani,Leandros A. Maglaras,Nick Ayres Book 2024 The Editor(s) (if applicable) and The Author(s)

exterminate

書目名稱Cyber Malware影響因子(影響力)




書目名稱Cyber Malware影響因子(影響力)學(xué)科排名




書目名稱Cyber Malware網(wǎng)絡(luò)公開度




書目名稱Cyber Malware網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cyber Malware被引頻次




書目名稱Cyber Malware被引頻次學(xué)科排名




書目名稱Cyber Malware年度引用




書目名稱Cyber Malware年度引用學(xué)科排名




書目名稱Cyber Malware讀者反饋




書目名稱Cyber Malware讀者反饋學(xué)科排名

啪心兒跳動(dòng)

TAG

A Princely Pandect on Astronomyng issue due to their simple yet powerful concealment of malicious network services. This book chapter comprehensively discusses FFSNs, focusing on fast-flux architecture, operation, and characterization. Also, it provides a review of fast-flux detection mechanisms and highlights the main challenges and future research directions.

多山

Fast-Flux Service Networks: Architecture, Characteristics, and Detection Mechanisms,ng issue due to their simple yet powerful concealment of malicious network services. This book chapter comprehensively discusses FFSNs, focusing on fast-flux architecture, operation, and characterization. Also, it provides a review of fast-flux detection mechanisms and highlights the main challenges and future research directions.

Detain

Certainty

Certainty

A Deep-Vision-Based Multi-class Classification System of Android Malware Apps, must be used to differentiate between benign and malware Android apps. Unfortunately, conventional malware detection and classification techniques based on traditional static- or dynamic-based machine learning (ML) algorithms are not the best choices for malware analysis applications. These traditi

沖突

Android Malware Detection Based on Network Analysis and Federated Learning,cation, becoming a serious threat to network security and user privacy. In addition, with a large-scale Android system deployment and the raising of privacy concerns, data heterogeneity, availability, and privacy preservation are presenting major challenges when applying traditional cloud-based and

陰險(xiǎn)

drusen

Fast-Flux Service Networks: Architecture, Characteristics, and Detection Mechanisms,highly resilient service for their malicious servers while remaining hidden from direct access. This is achieved by configuring many botnet machines to work as proxies that relay traffic between end users and malicious servers controlled by botherders. FFSNs are becoming popular for hosting maliciou