Titlebook: Network Simulation and Evaluation; Second International Zhaoquan Gu,Wanlei Zhou,Yan Jia Conference proceedings 2024 The Editor(s) (if appli

Coronary-Artery

書目名稱Network Simulation and Evaluation影響因子(影響力)




書目名稱Network Simulation and Evaluation影響因子(影響力)學科排名




書目名稱Network Simulation and Evaluation網(wǎng)絡(luò)公開度




書目名稱Network Simulation and Evaluation網(wǎng)絡(luò)公開度學科排名




書目名稱Network Simulation and Evaluation被引頻次




書目名稱Network Simulation and Evaluation被引頻次學科排名




書目名稱Network Simulation and Evaluation年度引用




書目名稱Network Simulation and Evaluation年度引用學科排名




書目名稱Network Simulation and Evaluation讀者反饋




書目名稱Network Simulation and Evaluation讀者反饋學科排名

走調(diào)

Quantify the Success Probability of Honest-But-Curious Relay Attack for Modulation Based Physical Lamore, due to the received signal at the relay is a superposed codeword that cannot be decomposed to recover the individual information, PNC is also viewed as a promising approach for physical layer security. In this paper, we reveal that information leakage risk exists for the honest-but-curious rel

不能逃避

Detecting SQL Injection and XSS Attacks Using ASCII Code and CNNtudy proposes to use the ASCII code corresponding to the character as the feature vector, and then adopt the convolutional neural network (CNN) to detect SQL injection and XSS attacks. In the experiments, the evaluation indicators are accuracy, recall, and F1 score. On the SQL and XSS datasets, the

承認

An Intranet Defense Capability Assessment Method for Network Security Solutions Based on ATT&CK Framed to be evaluated in order to reasonably select a network security solution. However, the existing assessment of the defense capability of network security solutions mainly focuses on anti-DDoS devices, and lacks the assessment of the defense capability of the intranet, and it is complicated to obt

碎片

Poisoning Attack in Machine Learning Based Invalid Ad Traffic Detections against mobile advertising. These click farms evolve to mimic the usage patterns of normal users, which makes traditional rule-based detection methods unable to tackle with the new threats. To defeat these attacks, machine leaning-based (ML-based) approaches are adopted as a data driven method to

grenade

演繹

Detecting Mixing Services in Bitcoin Transactions Using Embedding Feature and Machine Learningices. Coin mixing serves as a technique to obscure the trajectory of funds and is inherently dynamic and complex. Such dynamism results in inconsistent transaction behavior across numerous addresses. Moreover, the attributes and patterns associated with coin mixing fluctuate over diverse temporal sp

小故事

使腐爛

Feature Distillation GAN: An Adversarial Example Defense Method Based on Feature Reconstructionations. These methods do not make assumptions on adversarial attacks or model architectures, and thus can defend classifiers against unseen threats. In this work, we propose a new GAN-based adversarial purification method Feature Distillation GAN (FDGAN). We consider how to eliminate the feature dif

賭博

Exploring Advanced Methodologies in Security Evaluation for Large Language Modelsuage patterns and generate coherent text, images, audios, and videos. Furthermore, they can be fine-tuned for specific tasks. This versatility has led to the proliferation and extensive use of numerous commercialized large models. However, the rapid expansion of LLMs has raised security and ethical