Titlebook: Cyberspace Safety and Security; 11th International S Jaideep Vaidya,Xiao Zhang,Jin Li Conference proceedings 2019 Springer Nature Switzerla

EXALT

Boosting Training for PDF Malware Classifier via Active Learningized as a vehicle for malicious behavior. In this paper, machine learning algorithm will be used to detect malicious PDF document, and evaluated on experimental data. The main work of this paper is to implement a malware detection method, which utilizes static pre-processing and machine learning alg

Ankylo-

Benzodiazepines

DeepWAF: Detecting Web Attacks Based on CNN and LSTM Modelsnformation processing and sharing by web applications, the situation for web attack detection or prevention becomes increasingly severe. We present a prototype implementation called DeepWAF to detect web attacks based on deep learning techniques. We systematically discuss the approach for effective

Anterior

Research on Intrusion Detection Based on Semantic Re-encoding and Multi-space Projection The accuracy of the traditional rule-based intrusion detection system is affected. And the false alarm rate of machine learning-based intrusion detection system is high due to the lack of causal link analysis among sampled data and attack events. Aiming at the problem, this paper proposes an intell

欲望小妹

Software Defect Prediction Model Based on GA-BP Algorithmted for Back Propagation) neural network, which has the problem of easy to fall into local optimization when constructing software defect prediction model, and finally affects the prediction accuracy. Firstly, the optimization ability of GA (abbreviated for Genetic Algorithms) is introduced to optim

cumulative

Security Solution Based on Raspberry PI and IoTwith the aid of cloud and wireless sensor communication technologies. In this paper, the capabilities and limitations of smart home systems were researched. The project built a smart Internet of Things (IoT) system for the security of the home. This project uses inexpensive and commercially availabl

媒介

對(duì)手

Research on K-Means Clustering Algorithm Over Encrypted Datas++ that uses the idea of homomorphic encryption to solve the encrypted data multiplication problems, distance calculation problems and the comparison problems. Then apply these security protocols to the improved clustering algorithm framework. To prevent the leakage of privacy while calculating the

Concrete

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Studies in Educational Leadershipeamforming information table and location consistency of its neighbors after the beam training process. An attack will be declared if an inconsistency is found by a legitimate node in the network. To validate the effectiveness of the algorithms, a simulator is developed and a series of simulations a