Container Performance and Vulnerability Management for Container Security Using Docker Engine

Abstract

Containers have evolved to support microservice architecture as a low-cost alternative to virtual machines. Containers are increasingly prevalent in the virtualization landscape because of better working; containers can bear considerably less overhead than the conventional hypervisor-based component virtual machines. However, containers directly communicate with the host kernel, and attackers can co-locate containers in the host system quicker than virtual machines. This causes significant security issues in container technology. The security hardening system is currently targeted at implementing universal access management regulations that make it difficult to assess the required procedure for accessing containers. Security mechanisms include an explicit awareness of the purpose and actions of the container and entail manual interaction and configuration. A user-friendly container protection scheme implemented an access policy to comply with its anticipated and legitimate application performance. In this study, container technology constraints have been overcome by proposing a unique Docker-sec mechanism. Docker-sec uses four mechanisms; the original collection has been improved during container runtime by additional rules that constrain the capacity of the container, further representing the applications in practice, file system, processes, network isolation, and vulnerability scanning of Docker images over different workload. Different vulnerabilities have been scanned with a CVE severity level. Results showed that inter-container communication with the system is more secure containers from zero vulnerabilities with an overhead of 3.45%.

Integration of Cloud Computing and Wearable Technology for Enhanced Interactivity

“…This may include a web-based interface, mobile app, or wearable device. Emotion Detection and Analysis Algorithms: This includes algorithms that are used to detect and interpret the user's emotional state [5]. These algorithms may be implemented on the wearable devices or on the cloud server.…”

“…This research is exploring new approaches and solutions for integrating cloud technology and wearable computing, including new hardware and software designs, improved communication protocols, and enhanced security mechanisms. The goal is to create wearable devices that are better connected to cloud-based resources and provide users with a more integrated and personalized computing experience [5].…”

“…Security: This component ensures the confidentiality, integrity, and availability of data transmitted between wearable devices and the cloud server. It implements security measures such as encryption, access control, and data backups to protect the data [5].…”

Dependable and Non-Dependable Multi-Authentication Access Constraints to Regulate Third-Party Libraries and Plug-Ins across Platforms

“…Saket Acharya et al [28] provided a comprehensive review of recent Android security concerns, improvements in security implementation, notable malware detected from 2017 to 2021, and the privacy techniques employed by malware developers, along with the current methods of detecting Android malware. On the other hand, Tahir Alyas et al [29] proposed using Docker Security Engine (DSE) for container protection, employing container execution and vulnerability management. DSE implements four mechanisms: innovative gathering and supplementary rules to enhance container runtime and enforce container capacity, signifying claims in preparation, procedures, file system scanning, network isolation, and Docker image capabilities.…”

Malware Attacks Detection in Network Security using Deep Learning Approaches

“…The following detection model has been studied in this paper [4] • The investigation findings into the Attention Residual Network-based Visualization model show that the proposed method for identifying RGB and grayscale images has a greater accuracy rate. [5] •…”