On the Impact of Cross-Layer Information Leakage on Anonymity in Crowds

2015 ◽  
Author(s):  
Andriy Panchenko
Keyword(s):  
Information Leakage ◽  
Cross Layer ◽  
The Impact

scholarly journals Intelligent Prediction of Private Information Diffusion in Social Networks

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 719 ◽  
Author(s):  
Yangyang Li ◽  
Hao Jin ◽  
Xiangyi Yu ◽  
Haiyong Xie ◽  
Yabin Xu ◽  
...  
Keyword(s):  
Social Networks ◽  
Private Information ◽  
Information Diffusion ◽  
Social Impact ◽  
Information Leakage ◽  
Prediction Method ◽  
Data Set ◽  
Sina Weibo ◽  
Critical Paths ◽  
The Impact

In the information age, leaked private information may cause significant physical and mental harm to the relevant parties, leading to a negative social impact. In order to effectively evaluate the impact of such information leakage in today’s social networks, it is necessary to accurately predict the scope and depth of private information diffusion. By doing so, it would be feasible to prevent and control the improper spread and diffusion of private information. In this paper, we propose an intelligent prediction method for private information diffusion in social networks based on comprehensive data analysis. We choose Sina Weibo, one of the most prominent social networks in China, to study. Firstly, a prediction model of message forwarding behavior is established by analyzing the characteristic factors that influence the forwarding behavior of the micro-blog users. Then the influence of users is calculated based on the interaction time and topological structure of users relationship, and the diffusion critical paths are identified. Finally, through the user forwarding probability transmission, we determine the micro-blog diffusion cut-off conditions. The simulation results on Sina Weibo data set show that the prediction accuracy is 86.9%, which indicates that our method is efficient to predict the message diffusion in real-world social networks.

Enhancing supply chain resilience by counteracting the Achilles heel of information sharing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hwee-Chin Tan ◽  
Keng Lin Soh ◽  
Wai Peng Wong ◽  
Ming-Lang Tseng
Keyword(s):  
Supply Chain ◽  
Information Security ◽  
Information Sharing ◽  
Information Leakage ◽  
Equation Modeling ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Security Culture ◽  
The Impact ◽  
Information Security Culture

PurposeIn the face of information leakage, this study aims to demonstrate pathways to supply chain resilience (SCR) during information sharing by deploying organizational ethical climate (OEC) and information security culture (ISC) as non-punitive mitigation approaches.Design/methodology/approachThis empirical study was conducted to verify the framework using a questionnaire distributed to Malaysian multinational corporations (MNCs) of the manufacturing sector. The data were analysed using structural equation modeling (SEM) techniques with the AMOS software.FindingsThis study has confirmed the adverse impact of intentional and unintentional leakages on information sharing effectiveness. The findings showed ISC could reduce the impact of information leakage, but an OCE could not. This study provides evidence that information sharing effectiveness could impact SCR. The former is a mediator between information leakage and SCR, with information leakage moderated by information security culture. These findings convey that multinationals should set up an ISC to reduce information leakage and enhance their SCR.Originality/valuePrior studies lacked the explanation of the impact of mitigating factors on information leakage in information sharing effectiveness affecting SCR. A framework that explains the relationships add value to organizations making available strategic decisions to curb information leakage and manage SCR.

Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8255
Author(s):  
R. Thenmozhi ◽  
B. Amutha ◽  
Sreeram Valsalakumar ◽  
Thundil Karuppa Raj Rajagopal ◽  
Senthilarasu Sundaram
Keyword(s):  
Thermal Imaging ◽  
Video Transmission ◽  
Multicast Routing ◽  
Cross Layer ◽  
Delivery Ratio ◽  
Proposed Model ◽  
Prescriptive Analytics ◽  
The Impact ◽  
Very High ◽  
Simulation Time

The impact of multimedia in day-to-day life and its applications will be increased greatly with the proposed model (MSVPC)–5G Multicast SDN network eminence video transmission obtained using PSO and cross layer progress in wireless nodes. The drone inspection and analysis in a solar farm requires a very high number of transmissions of various videos, data, animations, along with all sets of audio, text and visuals. Thus, it is necessary to regulate the transmissions of various videos due to a huge amount of bandwidth requirement for videos. A software-defined network (SDN) enables forwarder selection through particle swarm optimization (PSO) mode for streaming video packets through multicast routing transmissions. Transmission delay and packet errors are the main factors in selecting a forwarder. The nodes that transfer the videos with the shortest delay and the lowest errors have been calculated and sent to the destination through the forwarder. This method involves streaming to be increased with the highest throughput and less delay. Here, the achieved throughput is shown as 0.0699412 bits per second for 160 s of simulation time. Also, the achieved packet delivery ratio is 81.9005 percentage for 150 nodes on the network. All these metrics can be changed according to the network design and can have new results. Thus, the application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in drone thermal imaging helps in monitoring solar farms more effectively, and may lead to the development of certain algorithms in prescriptive analytics which recommends the best practices for solar farm development.

scholarly journals On the impact of HARQ on the throughput and energy efficiency using cross-layer analysis

2017 ◽  
Author(s):  
Mariano Eduardo Burich ◽  
Richard Demo Souza ◽  
Glauber Brante ◽  
Oluwakayode Onireti ◽  
Muhammad Ali Imran
Keyword(s):  
Energy Efficiency ◽  
Cross Layer ◽  
Layer Analysis ◽  
The Impact

scholarly journals Improving MQTT Data Delivery in Mobile Scenarios: Results from a Realistic Testbed

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Jorge E. Luzuriaga ◽  
Miguel Perez ◽  
Pablo Boronat ◽  
Juan Carlos Cano ◽  
Carlos Calafate ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Information Loss ◽  
Cross Layer ◽  
Data Delivery ◽  
Iot Applications ◽  
Data Layer ◽  
Network Manager ◽  
The Impact ◽  
Layer Solution ◽  
Made In

MQTT is being widely used for data delivery in IoT applications but its architecture does not properly handle mobility when disconnection periods tend to be large. In this paper we describe an experimental evaluation, made in a real environment, of a solution that guarantees that there is no information loss when variable length hand-offs appear due to the movement of a node. Our proposal modifies the classical publish/subscribe scheme by introducing an intermediate buffer that takes care of message transfer. Finally, we study the impact related to the connectivity of mobile devices of the use of the standard LinuxNetwork Manager. We propose a cross-layer solution that improves the device connectivity in conjunction with the data layer management. We show that our solution improves the data delivery guaranteeing that no information is lost.

scholarly journals The impact of earnings-announcement timing on technical analysis signal: The case of Indonesia

2015 ◽  
Vol 18 (2) ◽  
pp. 179
Author(s):  
Dedhy Sulistiawan
Keyword(s):  
Stock Market ◽  
Emerging Market ◽  
Earnings Announcements ◽  
Information Leakage ◽  
Technical Analysis ◽  
Earnings Announcement ◽  
Price Reaction ◽  
Fundamental Information ◽  
Annual Earnings ◽  
The Impact

This study discusses technical analysis signal and earnings-announcements timing. Technical analysis signal is used to capture price reaction around earnings announcement dates. Technical analysis is selected because it is potential for competing information as fundamental information in emerging market, especially in Indonesian stock market. The longer reporting lag will result in a tendency of bigger information leakage which makes price reaction before announcements stronger. That reaction produces a reliable technical analysis signal. By using Indonesian stock market data, the results show that (1) technical analysis signal generates bigger (lower) return for late (earlier) reporting, and (2) reporting lag positively affects the performance of technical analysis signal that emerge before annual earnings announcements. These findings indicate a tendency of bigger information leakage for companies that delay earnings announcements. It contributes to building a bridge between technical analysis and earnings-announcement timing studies.

Changes in information environment and merger announcements

2016 ◽  
Vol 31 (3) ◽  
pp. 123-145
Author(s):  
Bhanu Balasubramnian ◽  
Kathleen Fuller ◽  
Tanja Steigner
Keyword(s):  
Insider Trading ◽  
Private Information ◽  
Information Leakage ◽  
Information Environment ◽  
High Tech ◽  
Content Type ◽  
Regulatory Changes ◽  
Announcement Returns ◽  
The Impact ◽  
Merger Announcements

Purpose The purpose of this paper is to examine the impact of regulatory changes by the US Securities and Exchange Commission in 2000 on private information leakage prior to merger announcements. Design/methodology/approach Using a sample of 5,045 merger announcements between 1990 and 2008, the authors examine differences in information leakage between the pre- and post-regulation period merger announcements for acquirers using regression analysis. Findings The results suggest that regulatory changes have been effective in preventing private information leakage in merger announcements for large- and medium-sized firms, for high-tech firms, and for stock deals. The authors find that abnormal trading volume due to differences in information quality is reduced post-regulation for stock deals, high-tech firms, large- and medium-sized bidders, indicating less leakage of information after the new regulations. The authors find higher announcement returns post-regulation for the entire sample and for all subsamples except stock deals, small firms, and public targets. Higher announcement returns indicate that merger announcements are a greater surprise to the market due to a reduction in leaked private information after the regulatory changes. Practical implications The results have implications on future rule changes, on refinements of insider trading rules, regulation fair disclosure, and regulation M-A. The authors leave for future research why certain types of firms or deals are not impacted by regulatory changes. Originality/value Examine the effect of changes in information environment on merger announcements for acquirers because the impact likely has greater significance on acquirers than that on targets. Past studies have examined only targets.

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