Titlebook: Cybersecurity and Secure Information Systems; Challenges and Solut Aboul Ella Hassanien,Mohamed Elhoseny Book 2019 Springer Nature Switzerl

critique

An Efficient Image Encryption Scheme Based on Signcryption Technique with Adaptive Elephant Herdingusly. The researchers of the study distinguished and examined the vital open difficulties in fortifying the security in IoT that combines encryption strategies to offer security to exchanged images between connected networks of the two parties. The device is primarily based on a hybrid algorithm tha

好开玩笑

发起

抗原

Deep Learning Framework for Cyber Threat Situational Awareness Based on Email and URL Data Analysisetection are based on blacklisting and heuristics technique. These methods require human intervention to update if any new Spam and Phishing activity occurs. Moreover, these are completely inefficient in detecting new Spam and Phishing activities. These techniques can detect malicious activity only

N防腐剂

套索

Improved DGA Domain Names Detection and Categorization Using Deep Learning Architectures with Classge number of domain names after that utilization a little subset for real command and control (C&C) server communication. DNS blacklist based on blacklisting and sink-holing is the most commonly used approach to block DGA C&C traffic. This is a daunting task because the network admin has to continuo

GULLY

Encapsulate

reperfusion

Clustering Based Cybersecurity Model for Cloud Data, texts) in the cloud has turned into a pattern among individual and hierarchical clients. Be that as it may, cloud service providers can’t be trusted entirely to guarantee the accessibility or honesty of client data re-appropriated/transferred to the cloud. Consequently, to enhance the cybersecurity

安装

A Detailed Investigation and Analysis of Deep Learning Architectures and Visualization Techniques fture for malware family identification which converts malware binaries into gray scale images and then identifies their families by a hybrid in-house model, Convolutional Neural Network and Long Short Term Memory (CNN-LSTM). The significance of the hybrid model enables the network to capture the spa