Titlebook: Ubiquitous Security; Third International Guojun Wang,Haozhe Wang,Weizhi Meng Conference proceedings 2024 The Editor(s) (if applicable) and

hallow

Process Mining with Programmable Logic Controller Memory Statesroposal of a new event source for process mining, which can be used when PLC logs are absent or insufficient. This research also demonstrated the feasibility of converting the memory states of PLCs into event logs, which can be used to construct a process model of the PLC. This approach requires nei

哺乳动物

TIA742

Improving DNS Data Exfiltration Detection Through Temporal Analysis can be used as a Command and Control (C &C) channel for botnet coordination, for data exfiltration, for tunneling another protocol through it, to name a few. To this end, it is imperative to develop DNS exfiltration detection techniques that are capable to mitigate such cybersecurity incidents and

locus-ceruleus

Deploying Post-quantum Algorithms in Existing Applications and Embedded Devicesrity engineers can utilize to start integrating today. First, we analyze the current state of the art in the field of available cryptographic libraries and standards for algorithm interpretations and encodings. Then, we provide few implementation challenges that rose from our experiments and how to

歌曲

SCORD: Shuffling Column-Oriented Relational Database to Enhance Securityomputation on columns. Since databases often contain sensitive and valuable information, protecting the confidentiality, integrity, and availability of the database is of utmost importance. In addition to encryption, shuffling can also be used to secure the database storage files. In this paper, we

孤僻

和平

Poison Egg: Scrambling Federated Learning with Delayed Backdoor Attackrivate training data to others. Because many clients participate in FL, the global model is constantly exposed to the risk of attacks by malicious clients. In particular, backdoor attacks, which modify the global model to misclassify inputs with specific features, pose a significant threat. Feedback

侧面左右

Channel Spatio-Temporal Convolutional Network for Trajectory Predictione traditional method based on RNN model requires high computational cost in the process of prediction, especially for long series prediction. In order to obtain more efficient and accurate prediction trajectory, a channel spatio-temporal convolutional network framework, called CSTCN, is proposed in

cutlery

幻想

SmartBuoy: A Machine Learning-Based Detection Method for Interest Flooding Attacks in VNDNVehicular Ad-hoc NETworks (VANETs). As Vehicular Named Data Networking (VNDN) has become a new paradigm for connected vehicles, it also introduces a new security issue. Since VNDN follows the ‘request-response’ communication mode, malicious nodes can flood many interest packets to occupy resources,