Coronary-Artery 发表于 2025-3-21 18:29:31
书目名称Network Simulation and Evaluation影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0662853<br><br> <br><br>书目名称Network Simulation and Evaluation影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0662853<br><br> <br><br>书目名称Network Simulation and Evaluation网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0662853<br><br> <br><br>书目名称Network Simulation and Evaluation网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0662853<br><br> <br><br>书目名称Network Simulation and Evaluation被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0662853<br><br> <br><br>书目名称Network Simulation and Evaluation被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0662853<br><br> <br><br>书目名称Network Simulation and Evaluation年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0662853<br><br> <br><br>书目名称Network Simulation and Evaluation年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0662853<br><br> <br><br>书目名称Network Simulation and Evaluation读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0662853<br><br> <br><br>书目名称Network Simulation and Evaluation读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0662853<br><br> <br><br>走调 发表于 2025-3-21 20:40:52
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 发表于 2025-3-22 03:22:45
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承认 发表于 2025-3-22 05:38:01
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 发表于 2025-3-22 11:55:28
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 togrenade 发表于 2025-3-22 14:46:10
http://reply.papertrans.cn/67/6629/662853/662853_6.png演绎 发表于 2025-3-22 18:25:16
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 发表于 2025-3-23 01:11:07
http://reply.papertrans.cn/67/6629/662853/662853_8.png使腐烂 发表于 2025-3-23 05:25:02
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赌博 发表于 2025-3-23 06:48:27
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