Calls for papers


International Journal of Information and Communication Technology
International Journal of Information and Communication Technology


Special Issue on: "Big Data Management, Mining and Security"

Guest Editors:
Prof. Florin Popentiu Vladicescu, City University, UK
Dr. Guangzhi Qu, Oakland University, USA
Dr. Srikanta Patnaik, SOA University, India

The amount of data in both the private and public domain is experiencing exponential growth. The volume of information is not only increasing in size, but is also increasing in its rate of creation and consumption. Mobile devices, sensors, audio and video feeds, other data sources and what has become known as “The Internet of Things” are all contributing to this increase in variety, volume and velocity of information expansion.

Managing large quantities of information could be viewed as nothing but a storage problem. However, when that information is interrogated using advanced analytic techniques, it presents an exceptional opportunity for disruptive IT innovation. These phenomena, collectively known as “big data,” have already enabled disruptive business models.

In recent years, “big data” has become a new ubiquitous term. Big data is transforming science, engineering, medicine, healthcare, finance, business and ultimately society itself.

We solicit high-quality original research papers (including significant works-in-progress) in any aspect of big data: big data foundations, big data infrastructure, big data management, big data searching and mining, and big data applications.

Subject Coverage
Suitable topics include but are not limited to:

  • Big data infrastructure
    • Cloud/grid/stream computing for big data
    • High performance/parallel computing platforms for big data
    • Autonomic computing, cyber-infrastructure, system architectures, design and deployment
    • Energy-efficient computing for big data
    • Programming models and environments for cluster, cloud, and grid computing to support big data
    • Software techniques and architectures in cloud/grid/stream computing
    • Big data open platforms
    • New programming models for big data beyond Hadoop/MapReduce, STORM
    • Software systems to support big data computing
  • Big data management
    • Advanced database and web applications
    • Novel data models and databases for emerging hardware
    • Data preservation
    • Data p rovenance‎
    • Interfaces to database systems and analytics software systems
    • Data protection, integrity and privacy standards and policies
    • Information integration and heterogeneous and multi-structured data integration
    • Data management for mobile and pervasive computing
    • Data management in the social web
    • Crowdsourcing
    • Spatiotemporal and stream data management
    • Scientific data management
    • Workflow optimisation
    • Database management challenges: architecture, storage, user interfaces
  • Big data search and mining
    • Social web search and mining
    • Web search
    • Algorithms and systems for big data search
    • Distributed and peer-to-peer search
    • Big data search architectures, scalability and efficiency
    • Data acquisition, integration, cleaning and best practices
    • Visualisation analytics for big data
    • Computational modelling and data integration
    • Large-scale recommendation systems and social media systems
    • Cloud/grid/stream data mining – big velocity data
    • Link and graph mining
    • Semantic-based data mining and data pre-processing
    • Mobility and big data
    • Multimedia and multi-structured data – big variety data
  • Big data security and privacy
    • Intrusion detection for gigabit networks
    • Anomaly and APT detection in very large scale systems
    • High performance cryptography
    • Visualising large scale security data
    • Threat detection using big data analytics
    • Privacy threats of big data
    • Privacy preserving big data collection/analytics
    • HCI challenges for big data security and privacy
    • User studies for any of the above
    • Sociological aspects of big data privacy

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Manuscript submission: 31 May, 2013

Notification of acceptance: 31 July, 2013

Revised final manuscript submission: 30 September, 2013