Journal Guide

The International Journal of Cyber-Security and Digital Forensics (IJCSDF) is a knowledge resource for practitioners, scientists, and researchers among others working in various fields of Cyber Security, Privacy, Trust, Digital Forensics, Hacking, and Cyber Warfare. We welcome original contributions as high quality technical papers (full and short) describing original unpublished results of theoretical, empirical, conceptual or experimental research. All submitted papers will be peer-reviewed by members of the editorial board and selected reviewers and those accepted will be published in the next volume of the journal. As one of the most important aims of this journal is to increase the usage and impact of knowledge as well as increasing the visibility and ease of use of scientific materials, IJCSDF does NOT CHARGE authors for any publication fee for online publishing of their materials in the journal and does NOT CHARGE readers or their institutions for accessing to the published materials! As such, IJCSDF reserves the right to select only best submitted papers for publication. All submitted papers would be reviewed by at least two reviewers and one member of editorial committee. Please refer to Authors Guidelines for details of reviewing process and to submit your papers please refer to Submit a Manuscript. IJCSDF is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access.

The International Journal of Dairy Technology, the IJDT is published on behalf of the Society of Dairy Technology. It ranks highly among the leading Dairy Journals published worldwide, and is the flagship of the Society. Published quarterly, it peer-reviews original research papers on Dairy Science and Technology, submitted from all over the world. The Journal also contains non-research papers of a technical/commercial nature presented at the Society's Symposia and Conferences, and includes news about Society events, such as meetings and reports on the activities of the Sections. The contents of this prestigious journal are abstracted by the leading international databases. Topics addressed include:

n the past two decades there has been considerable progress and significant advances made in the development of fundamental concepts of damage mechanics and their application to solve practical engineering problems. For instance, new concepts have been effectively applied to characterize creep damage, low and high cycle fatigue damage, creep-fatigue interaction, brittle/elastics damage, ductile plastic damage, straing softening, strain-rate-sensitivity damage, impact damage, and other physical phenomena. Materials investigated include polymers, composites, ceramics and metals.The International Journal of Damage Mechanics provides an effective mechanism to accelerate dissemination of information on damage mechanics not only within the research community but also between the research laboratory and industrial design department. The journal promotes and contributes to development of the concept of damage mechanics.Featuring original, peer-reviewed papers by leading specialists from around the world, the International Journal of Damage Mechanics covers new developments in the science and engineering of fracture and damage mechanics.

Many current data analysis techniques are beyond the reach of most managers and practitioners. Obscure maths and daunting algorithms have created an impassable chasm for problem solvers and decision makers. IJDATS bridges three gaps: firstly, a gap between academic ivory tower and the real world; secondly, a gap between quantitative data analysis techniques and qualitative data analysis techniques; and finally, a gap between a specific technique and an overall strategy.

Mining bioinformatics data is an emerging area at the intersection between bioinformatics and data mining. The objective of the IJDMB is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. This perspective acknowledges the inter-disciplinary nature of the research in data mining and bioinformatics and provides a unified forum for researchers/practitioners/students/policy makers to share the latest research and developments in this fast growing multi-disciplinary research area.

Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications.