计算机 | SCI期刊专刊信息4条

全文截稿: 2021-02-15

影响因子: 2.189

CCF分类: 无

中科院JCR分区:

• 大类 : 工程技术 - 3区

• 小类 : 计算机：硬件 - 3区

• 小类 : 计算机：跨学科应用 - 4区

• 小类 : 工程：电子与电气 - 4区

网址: http://www.journals.elsevier.com/computers-and-electrical-engineering/

Overview:

Recent technologies, such as IoT, social networks, cloud computing, and data analytics, create a huge amount of data. However, for this data to be used to its full power, security and privacy are critical. Data security and privacy have been widely investigated over the past years. However, today we face new issues in securing and protecting data, that result in new challenging research directions. Some of these challenges arise from the increasing privacy concerns with respect to the use of such data, and from the need of reconciling privacy with the use of data. Other challenges arise regarding the deployments of new data collection and processing devices, such as those used in IoT systems, which cuse security concerns.

In this special issue, we discuss relevant concepts and approaches for Big Data security and privacy, and identify research challenges to be addressed to achieve comprehensive solutions. The purpose is to make security and privacy communities realize the challenges and tasks that we face in Big Data. We focus on exploring the security and privacy aspects of Big Data as supporting and indispensable elements of the emerging Big Data research.

Topics:

The areas of interest include:

Security technologies for collecting of Big Data

Intrusion detection and transmission surveillance of Big Data

Storage and system security for Big Data

Big Data forensics

Integrity protection and authentication of Big Data

Access control of Big Data

Privacy-aware analysis and retrieval of Big Data

Privacy-aware data fusion of Big Data

全文截稿: 2021-03-20

影响因子: 2.189

CCF分类: 无

中科院JCR分区:

• 大类 : 工程技术 - 3区

• 小类 : 计算机：硬件 - 3区

• 小类 : 计算机：跨学科应用 - 4区

• 小类 : 工程：电子与电气 - 4区

网址: http://www.journals.elsevier.com/computers-and-electrical-engineering/

Overview

Today’s businesses increasingly rely on cloud computing, which brings both great opportunities and challenges. One of the critical challenges is resiliency to cloud system disruptions, which often result in significant revenue loss. Such failures may originate at any component in a cloud system, including application host servers, networks that connect servers to the cloud, as well as the business application itself.

This research area combines topics of cloud computing architectures, network, and application components. A key concept of this is virtualization of infrastructure and components in both physical and virtual layers to improve their resilience. Resilient cloud computing infrastructure refers to the design and operation of facilities, servers, networks and integration, including the middleware infrastructure. This special section aims to present current state-of-the-art research addressing network resiliency and analysis.

Topics

Suggested topics include:

Resilient ubiquitous system

IP networks and service resilience

Resilient distributed systems and algorithms

Middleware infrastructure for application and integration

Intrusion-resilient middleware design and validation

High availability, resilient and survivable infrastructure design

Detection and response to vulnerabilities and attacks on the internet on IT components in critical infrastructure

Models and algorithms of survivable networks design and modelling

Methods for measurement, evaluation, or validation of resilience

Optimization issues in resilient networks design

Resilient cloud computing architectures

Resilient content-oriented networks architectures and solutions

全文截稿: 2021-04-15

影响因子: 1.045

CCF分类: C类

中科院JCR分区:

• 大类 : 工程技术 - 4区

• 小类 : 计算机：硬件 - 4区

• 小类 : 计算机：理论方法 - 4区

• 小类 : 工程：电子与电气 - 4区

网址: https://www.journals.elsevier.com/microprocessors-and-microsystems

Adaptive systems find application in a plethora of scenarios and, recently, with the rise of Cyber-Physical Systems, have gained more attention in the research community. Generally, these systems have a reconfigurable nature since they are designed to cope with external (environmental) and internal changes at run-time, for example, by adjusting their behavior and architecture.

Embedding such systems in devices constrained in terms of energy consumption and computational capabilities requires additional design efforts, especially when these devices have to be deployed in real-time environments or scalability is a requirement.

This Special Issue aims at spreading new and on-going research exploring emerging approaches and techniques that address the challenges of the design of energy-efficient, adaptive, and reconfigurable embedded systems and SoCs.

Potential topics include, but are not limited to:

Self-aware adaptation in FPGA-based systems

FPGAs and reconfigurable hardware accelerators

FPGA architectures for distributed adaptive computing systems

FPGA-based adaptive architectures for correlated multi-stream processing

Low power design of reconfigurable SoCs / MPSoCs

Adaptive computing for inter-process communication in FPGA architectures

On-chip and multi-chip interconnection systems

Adaptive real-time embedded processors

Novel reconfigurable architectures for real-time applications

Performance modelling of emerging high performance computing architectures

Machine learning techniques in adaptive computing architectures

Adaptive computing in middleware and virtual machines in embedded architectures

Approximate computing in FPGAs

Verification and evaluation techniques of the aforementioned topics

Industrial case studies regarding the aforementioned topics

全文截稿: 2021-05-10

影响因子: 1.159

CCF分类: B类

中科院JCR分区:

• 大类 : 工程技术 - 4区

• 小类 : 计算机：硬件 - 4区

• 小类 : 计算机：软件工程 - 4区

网址: http://www.journals.elsevier.com/journal-of-systems-architecture/