Journal Information
IEEE Internet Computing Magazine (IC)
http://www.computer.org/web/computingnow/internetcomputing
Impact Factor:
1.4
Publisher:
IEEE
ISSN:
1089-7801
Viewed:
2304
Tracked:
4

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IEEE Internet Computing provides journal-quality evaluation and review of emerging and maturing Internet technologies and applications. The magazine targets the technical and scientific Internet user communities as well as designers and developers of Internet-based applications and enabling technologies. IC publishes refereed articles on the latest developments and key trends in Internet technologies and applications.

A crossroads between academic researchers and software professionals, the magazine presents novel content from academic and industry experts on a wide range of topics, including applications, architectures, information management, middleware, policies, security, and standards.

In addition to peer-reviewed articles, IC features industry reports, surveys, tutorials, columns, and news.
Last updated by Dou Sun in 2016-11-11
Special Issues
Special Issue on IoT-Enhanced Human Experience
Submission Date: 2017-04-10

Internet of Things (IoT)-enabled applications now support the needs and interests of individuals, enterprises, and society. They impact our lives, change businesses, and enhance the human experience. As this technology advances, this special issue seeks articles on applications that are deployed and preferably tested and evaluated in real-world situations, where IoT data is an indispensable component. Apart from physical devices (sensors/IoTs), such applications might also involve citizen sensing (for example, human-supplied observations or data using a mobile app), social data, and interactions with humans; the applications might also seek or use human guidance. Especially welcome are applications that involve a large number or variety of IoTs and/or Big Data (with one or more corresponding challenges in volume, variety, velocity, or veracity). In this area of research, the collected data must be analyzed for insights, which will inform or drive actions affecting human activities (and hence, human experience). Therefore, any employed AI techniques must be human-aware. For example, both the raw data and processed insights must be secured and made traceable to gain humans' trust. For any insights generated from machine learning, the techniques might be called upon to explain the output. Usage and acceptance of insights by humans will drive future waves of IoT devices and consumption of their contextual data. We envisage that illustrative applications involving IoT and other data could serve or impact any variety of issues that impact human activities and experience, including but not limited to the following: - individual and community needs - such as personal and public health, entertainment, and improving the quality of life; - enterprise needs - including logistics, procurement, customer engagement/experience, human resources, and connected manufacturing; - smart, connected city and government (societal and environment-related) needs - such as energy, transport, water, and citizen empowerment and engagement; and - human, social, and economic development needs - including crisis response and coordination, as well as improving standards of living, community use, and natural resources.
Last updated by Dou Sun in 2016-11-11
Special Issue on Healthcare Informatics and Privacy
Submission Date: 2017-06-01

The digital transformation of healthcare on the Internet has been rapid and explosive. The Internet has enabled transfer and communication of healthcare data but also enabled delivery of healthcare services and apps, connecting patients and healthcare providers together. Digital healthcare ecosystems have evolved on top of cloud platforms, mobile computing, and the Internet of Things (IoT), as well as wearable devices distributed across geopolitical and socioeconomic boundaries. While such ecosystems promise a future for universally accessible and more intelligent healthcare, the privacy of patients, doctors, nurses, and healthcare providers is of greater concern today than it was previously. Regulatory compliance requirements such as the US Health Insurance Portability and Accountability Act (HIPAA) support protection of privacy; however, protection and management of healthcare privacy has several challenges and open problems: for example, how does the application of AI and machine learning for healthcare analytics affect privacy? How can anonymization of genomic and healthcare data be carried out to preserve utility while protecting privacy? How can we protect healthcare devices from leaking sensitive healthcare data? How do we develop the next generation of privacy policies and regulatory compliance regimes? This special issue on healthcare informatics and privacy will address theoretical and applied research related to the privacy, security and compliance of Internet-specific healthcare data, transactions, apps, services and systems. The issue will be interdisciplinary in nature, welcoming any research related to healthcare informatics and privacy. Relevant topics include but are not limited to theoretical and applied aspects of the following: 1.Health data and protected health information (PHI) - security of healthcare data, such as electronic health records and schemas; - encryption schemes, key management, homomorphic encryption, and its applications; - anonymization and de-anoymization of structured and unstructured data, as well as genomic graphs; and - privacy-preserving integrity techniques for healthcare data. 2.Regulatory healthcare compliance - HIPAA compliance and European Data Privacy Regulation (GDPR); - challenges and issues regarding implementation of compliance; and - automation of compliance, security, and privacy requirements. 3.Healthcare services, systems, and infrastructure - security and privacy for healthcare services on clouds, mobile, and IoT; and - transactions and blockchains.
Last updated by Dou Sun in 2017-02-18
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