500 research outputs found
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Evaluation of Autopsy and Volatility for Cybercrime Investigation: A Forensic Lucid Case Study
No full textIn this article, the authors successfully created two new plugins one for Autopsy Forensic Tool, and the other for Volatility Framework. Both plugins are useful for encoding digital evidences in Forensic Lucid which is the goal of this work. The first plugin was integrated in Autopsy to generate a report for the case of a Brute Force Authentication attack by looking for evidence in server logs based on a key search. On the other hand, the second plugin named ForensicLucidDeviceTree aims to find whether a device stack has been infected by a root-kit or not expression is implied by the previous statement. The results of both plugins are shown in Forensic Lucid Format and were successfully compiled using GIPC compiler
ENF Based Video Forgery Detection Algorithm
No full textThe electric network frequency (ENF) is recorded in the videos taken under the lights powered by grid and can be used for digital forensics. However, due to the lack of data caused by the low frame rate of the video, the ENF-based forensics methods always need a reference signal extracted from the grid, which limits the practical application of these methods. In this article, a new ENF-based time domain video forgery detection algorithm is proposed to solve the problem of data lack. The cubic spline interpolation is used to generate suitable data points of the ENF signal, and the detection sequence generated based on the correlation coefficient between data points in adjacent periods is used to catch the phase continuity interruption of the ENF signal and detect the exact position of forgery. The proposed algorithm can be used independently without any reference signals. The experimental results show that the proposed algorithm has good performance in detecting forgery videos with varying degrees of deletion, duplication and insertion of frames
Reversible Data Hiding Based on Adaptive Block Selection Strategy
No full textRecently, a reversible data hiding (RDH) method was proposed based on local histogram shifting. This method selects the peak bin of the local histogram as a reference and expands the two neighboring bins of the peak bin to carry the message bits. Since the peak bin keeps unchanged during the embedding process, the neighboring bins can be easily identified at the receiver end, and the original image can be restored completely while extracting the embedded data. In this article, as an extension of the algorithm, the authors propose an RDH scheme based on adaptive block selection strategy. Via a new block selection strategy, those blocks of the carrier image may carry more message bits whereas introducing less distortion will take precedence over data hiding. Experimental results demonstrate that higher visual quality can be obtained compared with the original method, especially when the embedding rate is low
Two Case Studies of Topic-Related Multidimensional Reading Services in China
No full textThis article provides a brief summary of the development of topic-related multidimensional reading services in academic libraries in China. The authors mainly introduce the methods and practices that Tongji University Library has developed for this type of service. The authors also include a briefing about a multidimensional reading service event called “Reading the city Jinling - the Red Mansions” which was hosted by Nanjing Agriculture University Library in 2017. Theoretical and practical explorations suggest that academic libraries could integrate more resources from different areas to promote a deeper understanding of reading, and to make more contributions to knowledge transformation and innovation in China
Additive Manufacturing Technology: Realities and Strategic Perspectives From India
No full textThe authors studied strategic aspects pertaining to adoption drivers, challenges and strategic value of Additive Manufacturing Technology (AMT) in the Indian manufacturing landscape. An exploratory qualitative study with semi-structured in-depth personal interviews of experts was completed and the data was content analysed. Indian firms have identified the need for AMT in R&D and prototype generation. AMT implementation helps Indian firms in mass customization and eases the manufacturing of complex geometric shapes. This study insights would help AMT managers in emerging economies to enable adoption drivers, overcome challenges and add strategic value with AMT. This is one of the very first studies on AMT with theoretical perspectives on the Miltenberg framework, adoption drivers, challenges and strategic value in the Indian manufacturing landscape
The Effect of Information Quality on Social Networking Site (SNS)-Based Commerce: From the Perspective of Malaysian SNS Users
No full textThis study aimed to examine how information quality (IQ) attributes affect perceived usefulness and customer satisfaction of SNS-based commerce from the perspective of Malaysian SNS users. Although many studies have been conducted to identify possible IQ attributes in the context of e-commerce, only a limited number of studies have tested and examined the direct effects of the IQ attributes on perceived usefulness and customer satisfaction, particularly in the s-commerce context (i.e., SNS-based commerce). The data from Malaysia respondents were collected through an online survey, using a snowball sampling technique. The hypotheses were analysed using multiple linear regression. The results indicated the perceived usefulness was significantly affected by completeness, ease of understanding, and personalization. Customer satisfaction was significantly affected by the completeness and perceived usefulness. However, neither the accuracy nor timeliness had an effect on perceived usefulness or customer satisfaction. The findings suggest that completeness is the strongest attribute of IQ
E-Revenue Adoption in State Internal Revenue Service: Interrogating the Institutional Factors
No full textThis paper focuses on investigating factors affecting e-revenue adoption in State Internally Revenue Service. The study utilizes a quantitative research methods. A conceptual research model to investigate factors affecting e-revenue was developed by integrating technology, organisation, and environment framework. The constructs employed in predicting e-revenue adoption include technological competence, financial cost, internal need, satisfaction with existing system, competitive pressure, taxpayer readiness, government regulation. Data were collected from 140 staff of the ICT department, collection departments, and some management staff of State Internal Revenue Service in three state of Nigeria. The data were analysed based on PLS-SEM using SmartPLS 3.0. The result shows that financial cost, level of satisfaction with existing system, internal need of the revenue agencies, government regulation, and competitive pressure are significant factors influencing the adoption of e-revenue in Nigeria
Identity Authentication Security Management in Mobile Payment Systems
No full textMobile payment is a new payment method offering users mobility, reachability, compatibility, and convenience. But mobile payment involves great uncertainty and risk given its electronic and wireless nature. Therefore, biometric authentication has been adopted widely in mobile payment in recent years. However, although technology requirements for secure mobile payment have been met, standards and consistent requirements of user authentication in mobile payment are not available. The flow management of user authentication in mobile payment is still at its early stage. Accordingly, this paper proposes an anonymous authentication and management flow for mobile payment to support secure transaction to prevent the disclosure of users' information and to reduce identity theft. The proposed management flow integrates transaction key generation, encryption and decryption, and matching to process users' personal information and biometric characteristics based on mobile equipment authentication carrier
Users' Intention to Share Knowledge Using Wiki in Virtual Learning Community
No full textMany educational organizations are using Wikis to enhance virtual learning to encourage knowledge sharing inside between students and instructors. Wiki is an ideal tool for the online knowledge sharing at educational organizations which help to achieve more collaborative work environment between students and instructors. However, educational organizations sometimes fail of building successful virtual community and users abound Wikis for several reasons. This research explored the use of Wikis to share knowledge in virtual learning community. A proposed conceptual framework was developed examining the UTAUT model in new context by using it to test the behavior intention to share knowledge through the Wiki technology in virtual community. A survey to postgraduate students shows that social influence, performance, and effort expectancy have impact on students' attitude to share knowledge through Wikis
Threaded Discussion: The Role It Plays in E-Learning
No full textThis article presents the results of two studies that focus on the role that threaded discussion plays in student learning. Over a period of three and one-half years, researchers conducted a series of surveys of graduate and undergraduate students at a private, nonprofit university in Southwestern Pennsylvania to determine how students viewed the value of threaded discussions in enhancing their ability to learn course material. Students were asked which types of threaded discussions they preferred; whether they found the threaded discussion to be a better tool for learning than a written assignment; and, which learning environment they felt was more conducive to learning, classroom or online. Results from the combined studies revealed some statistically significant differences based on enrollment status and gender. Upon comparing study results, researchers found statistically significant differences with regard to a preference for classroom versus online instruction and the usefulness of threaded discussions to learning