1,721,192 research outputs found
Blockchain-enabled secure communications in smart cities
No full textBlockchain is a relative recent research and technological trend, with applications in diverse domains including those associated with a nation's critical infrastructure sectors (e.g., chemical, commercial facilities, communications, critical manufacturing, dams, defense industrial base, emergency services, and energy). The interest in blockchain is also partly evidenced by the number of submissions we received in this special issue. Of the 54 submissions received, 18 papers were accepted after several rounds of reviews by subject matter experts (i.e., acceptance rate of ∼33.3%). This special issue presents the research advances and describes existing and emerging challenges outlined in these 18 accepted papers, authored by researchers from institutions in Australia, Canada, China, Denmark, Ireland, New Zealand, Spain, United Kingdom, and United States. These accepted papers also reinforce the importance of collaboration across institutions and countries
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Cloud storage forensics: analysis of data remnants on SpiderOak, JustCloud, and pCloud
No full textSTorage as a Service (STaaS) cloud platforms benefits such as getting access to data anywhere, anytime, on a wide range of devices made them very popular among businesses and individuals. As such forensics investigators are increasingly facing cases that involve investigation of STaaS platforms. Therefore, it is essential for cyber investigators to know how to collect, preserve, and analyse evidences of these platforms. In this paper, we describe investigation of three STaaS platforms namely SpiderOak, JustCloud, and pCloud on Windows 8.1 and iOS 8.1.1 devices. Moreover, possible changes on uploaded and downloaded files metadata on these platforms would be tracked and their forensics value would be investigated
Honeypots for employee information security awareness and education training: A conceptual EASY training model
No full textThe increasing pervasiveness of internet-connected systems means that such systems will continue to be exploited for criminal purposes by cybercriminals (including malicious insiders such as employees and vendors). The importance of protecting corporate system and intellectual property, and the escalating complexities of the online environment underscore the need for ongoing information security awareness and education training and the promotion of a culture of security among employees. Two honeypots were deployed at a private university based in Singapore. Findings from the analysis of the honeypot data are presented in this paper. This paper then examines how analysis of honeypot data can be used in employee information security awareness and education training. Adapting the Routine Activity Theory, a criminology theory widely used in the study of cybercrime, this paper proposes a conceptual Engaging Stakeholders, Acceptable Behavior, Simple Teaching method, Yardstick (EASY) training model, and explains how the model can be used to design employee information security awareness and education training. Future research directions are also outlined in this paper
Performance of android forensics data recovery tools
No full textRecovering deleted or hidden data is among the most important duties of forensics investigators. Extensive utilization of smartphones as subject, objects, or tools of crime made them an important part of residual forensics. This chapter investigates the effectiveness of mobile forensic data recovery tools in recovering evidences from a Samsung Galaxy S2 i9100 Android phone. We seek to determine the amount of data that could be recovered using Phone image carver, Access data FTK, Foremost, Diskdigger, and Recover My File forensic tools. The findings reflected the difference between recovery capacities of studied tools showing their suitability in their specialized contexts only
Challenges of Connecting Edge and Cloud Computing: A Security and Forensic Perspective
No full textA key benefit of connecting edge and cloud computing is the capability to achieve high-throughput under high concurrent accesses, mobility support, real-time processing guarantees, and data persistency. For example, the elastic provisioning and storage capabilities provided by cloud computing allow us to cope with scalability, persistency and reliability requirements and to adapt the infrastructure capacity to the exacting needs based on the amount of generated data
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