scholarly journals A Critical Evaluation of Privacy and Security Threats in Federated Learning

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7182 ◽  
Author(s):  
Muhammad Asad ◽  
Ahmed Moustafa ◽  
Chao Yu
Keyword(s):  
Private Information ◽  
Human Life ◽  
Critical Evaluation ◽  
Smart Devices ◽  
Future Research ◽  
Security Threats ◽  
Privacy Concern ◽  
Privacy And Security ◽  
Training Technique ◽  
Cloud Server

With the advent of smart devices, smartphones, and smart everything, the Internet of Things (IoT) has emerged with an incredible impact on the industries and human life. The IoT consists of millions of clients that exchange massive amounts of critical data, which results in high privacy risks when processed by a centralized cloud server. Motivated by this privacy concern, a new machine learning paradigm has emerged, namely Federated Learning (FL). Specifically, FL allows for each client to train a learning model locally and performs global model aggregation at the centralized cloud server in order to avoid the direct data leakage from clients. However, despite this efficient distributed training technique, an individual’s private information can still be compromised. To this end, in this paper, we investigate the privacy and security threats that can harm the whole execution process of FL. Additionally, we provide practical solutions to overcome those attacks and protect the individual’s privacy. We also present experimental results in order to highlight the discussed issues and possible solutions. We expect that this work will open exciting perspectives for future research in FL.

Narcissism as a Predictor of Facebook Users' Privacy Concern, Vigilance, and Exposure to Risk

2014 ◽  
Vol 10 (2) ◽  
pp. 78-95 ◽  
Author(s):  
Karen Smith ◽  
Francis Mendez ◽  
Garry L. White
Keyword(s):  
Security And Privacy ◽  
Future Research ◽  
Privacy Concern ◽  
Privacy And Security ◽  
Research Directions ◽  
Security Breaches ◽  
Future Research Directions ◽  
Controlling Variables ◽  
And Gender ◽  
Privacy Risks

A model is developed and tested to explain the relationships among narcissism, privacy concern, vigilance, and exposure to risk on Facebook, with age and gender as controlling variables. Two important constructs are conceptualized and measured in this research. Facebook exposure is defined as the opportunity for privacy and security breaches on Facebook. Facebook vigilance is the extent to which consumers stay focused, attentive, and alert to potential security and privacy risks on Facebook by restricting who can access and post to their Facebook accounts. Data from a survey of 286 adult Facebook users in the U.S. support the hypothesized relationships in the model. Results suggest that narcissism is related to increased Facebook exposure and lower Facebook vigilance, despite greater stated concern for privacy and security. Furthermore, females and younger users have greater risk exposure compared to males and older users. Implications of the findings and future research directions are discussed.

scholarly journals A Rhythm-Based Authentication Scheme for Smart Media Devices

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Jae Dong Lee ◽  
Young-Sik Jeong ◽  
Jong Hyuk Park
Keyword(s):  
Ubiquitous Computing ◽  
Private Information ◽  
High Efficiency ◽  
Smart Devices ◽  
Smart Device ◽  
Security Threats ◽  
Important Data ◽  
Security Issues ◽  
Range Of Functions ◽  
Smart Media

In recent years, ubiquitous computing has been rapidly emerged in our lives and extensive studies have been conducted in a variety of areas related to smart devices, such as tablets, smartphones, smart TVs, smart refrigerators, and smart media devices, as a measure for realizing the ubiquitous computing. In particular, smartphones have significantly evolved from the traditional feature phones. Increasingly higher-end smartphone models that can perform a range of functions are now available. Smart devices have become widely popular since they provide high efficiency and great convenience for not only private daily activities but also business endeavors. Rapid advancements have been achieved in smart device technologies to improve the end users’ convenience. Consequently, many people increasingly rely on smart devices to store their valuable and important data. With this increasing dependence, an important aspect that must be addressed is security issues. Leaking of private information or sensitive business data due to loss or theft of smart devices could result in exorbitant damage. To mitigate these security threats, basic embedded locking features are provided in smart devices. However, these locking features are vulnerable. In this paper, an original security-locking scheme using a rhythm-based locking system (RLS) is proposed to overcome the existing security problems of smart devices. RLS is a user-authenticated system that addresses vulnerability issues in the existing locking features and provides secure confidentiality in addition to convenience.

Narcissism as a Predictor of Facebook Users' Privacy Concern, Vigilance, and Exposure to Risk

2019 ◽  
pp. 206-225
Author(s):  
Karen H. Smith ◽  
Francis A. Mendez ◽  
Garry L. White
Keyword(s):  
Security And Privacy ◽  
Future Research ◽  
Privacy Concern ◽  
Privacy And Security ◽  
Security Breaches ◽  
Future Research Directions ◽  
Controlling Variables ◽  
And Gender ◽  
Privacy Risks ◽  
The U.S

A model is developed and tested to explain the relationships among narcissism, privacy concern, vigilance, and exposure to risk on Facebook, with age and gender as controlling variables. Two important constructs are conceptualized and measured in this research. Facebook exposure is defined as the opportunity for privacy and security breaches on Facebook. Facebook vigilance is the extent to which consumers stay focused, attentive, and alert to potential security and privacy risks on Facebook by restricting who can access and post to their Facebook accounts. Data from a survey of 286 adult Facebook users in the U.S. support the hypothesized relationships in the model. Results suggest that narcissism is related to increased Facebook exposure and lower Facebook vigilance, despite greater stated concern for privacy and security. Furthermore, females and younger users have greater risk exposure compared to males and older users. Implications of the findings and future research directions are discussed.

Narcissism as a Predictor of Facebook Users' Privacy Concern, Vigilance, and Exposure to Risk

2019 ◽  
pp. 292-310 ◽  
Author(s):  
Karen H. Smith ◽  
Francis A. Mendez ◽  
Garry L. White
Keyword(s):  
Security And Privacy ◽  
Future Research ◽  
Privacy Concern ◽  
Privacy And Security ◽  
Security Breaches ◽  
Future Research Directions ◽  
Controlling Variables ◽  
And Gender ◽  
Privacy Risks ◽  
The U.S

A model is developed and tested to explain the relationships among narcissism, privacy concern, vigilance, and exposure to risk on Facebook, with age and gender as controlling variables. Two important constructs are conceptualized and measured in this research. Facebook exposure is defined as the opportunity for privacy and security breaches on Facebook. Facebook vigilance is the extent to which consumers stay focused, attentive, and alert to potential security and privacy risks on Facebook by restricting who can access and post to their Facebook accounts. Data from a survey of 286 adult Facebook users in the U.S. support the hypothesized relationships in the model. Results suggest that narcissism is related to increased Facebook exposure and lower Facebook vigilance, despite greater stated concern for privacy and security. Furthermore, females and younger users have greater risk exposure compared to males and older users. Implications of the findings and future research directions are discussed.

scholarly journals Various Privacy and Security Issues in Online Social Networks

2021 ◽  
Vol 9 (12) ◽  
pp. 142-146
Author(s):  
Miss. Komal K. Khandare
Keyword(s):  
Social Networks ◽  
Private Information ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Personal Information ◽  
Human Life ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Security Issues ◽  
Basic Features

Abstract: Social networks have become a part of human life. online interaction, communication, and interest sharing, letting individuals create online profiles that other users can view these are basic features that are offer by most of social networking sites Unfortunately, In many cases, users are not even aware of the disclosure of their personal information through their profiles. Leakage of a user’s private information can happen in different ways. Many of the security risks associated with using social media are presented in this paper. Also, the issue of privacy and how it relates to security are described. Based on these discussions, some key points are provided to improve a user’s privacy and security on social networks. Our inquest will help the readers to understand the security and privacy issues for the social network users, and this research will help the user. Keywords: OSN; security; classic privacy threats; modern threat.

scholarly journals Blockchain and IoT Integration: A Systematic Survey

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2575 ◽  
Author(s):  
Alfonso Panarello ◽  
Nachiket Tapas ◽  
Giovanni Merlino ◽  
Francesco Longo ◽  
Antonio Puliafito
Keyword(s):  
Data Encryption ◽  
Security Requirements ◽  
Smart Devices ◽  
Future Research ◽  
Security Measures ◽  
Privacy And Security ◽  
Usage Patterns ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
The Internet Of Things

The Internet of Things (IoT) refers to the interconnection of smart devices to collect data and make intelligent decisions. However, a lack of intrinsic security measures makes IoT vulnerable to privacy and security threats. With its “security by design,” Blockchain (BC) can help in addressing major security requirements in IoT. BC capabilities like immutability, transparency, auditability, data encryption and operational resilience can help solve most architectural shortcomings of IoT. This article presents a comprehensive survey on BC and IoT integration. The objective of this paper is to analyze the current research trends on the usage of BC-related approaches and technologies in an IoT context. This paper presents the following novelties, with respect to related work: (i) it covers different application domains, organizing the available literature according to this categorization, (ii) it introduces two usage patterns, i.e., device manipulation and data management (open marketplace solution), and (iii) it reports on the development level of some of the presented solutions. We also analyze the main challenges faced by the research community in the smooth integration of BC and IoT, and point out the main open issues and future research directions. Last but not least, we also present a survey about novel uses of BC in the machine economy.

Website Information Security and Privacy Concerns in 4IR: The Moderating Role of Trust in B2C e-Commerce

10.29007/jlq6 ◽  
2019 ◽  
Author(s):  
Thabang Mofokeng
Keyword(s):  
South Africa ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Success Factors ◽  
Industrial Revolution ◽  
Emerging Market ◽  
Security And Privacy ◽  
Future Research ◽  
Privacy And Security ◽  
Customer Trust

The technology devices introduced in recent years are not only vulnerable to Internet risks but are also unable to elevate the growth of B2C e-commerce. These concerns are particularly relevant today, as the world transitions into the Fourth Industrial Revolution. To date, existing research has largely focused on obstacles to customer loyalty. Studies have tested e-commerce models guided by the establishment of trusting, satisfied and loyal consumers in various international contexts. In South Africa, however, as an emerging market, there has been limited research on the success factors of online shopping.This study examines the influence of security and privacy on trust, seen as a moderator of customer satisfaction, which in turn, has an effect on loyalty towards websites. Based on an exhaustive review of literature, a conceptual model is proposed on the relationships between security and privacy on the one hand, and customer trust, satisfaction and loyalty on the other. A total of 250 structured, self-administered questionnaires was distributed to a purposively selected sample of respondents using face-to-face surveys in Johannesburg, South Africa. A multivariate data analysis technique was used to draw inferences from the data. With an 80.1% response rate, the findings showed that privacy and security do influence customer trust; security strongly influences customer trust and weakly influences satisfaction. In South Africa, customer loyalty towards websites is strongly determined by satisfaction and weakly determined by trust. Trust significantly moderates the effect of customer satisfaction on loyalty. The study implications and limitations are presented and future research directions are suggested.

scholarly journals Infrastructural nature

2021 ◽  
pp. 030913252199391
Author(s):  
Sara H Nelson ◽  
Patrick Bigger
Keyword(s):  
Political Economy ◽  
Ecosystem Services ◽  
Strategic Management ◽  
Ecosystem Management ◽  
Human Life ◽  
Ecosystem Functions ◽  
Future Research ◽  
The Political ◽  
Conservation Science ◽  
Conservation Investment

The assertion that ‘ecosystems are infrastructure’ is now common in conservation science and ecosystem management. This article interrogates this infrastructural ontology, which we argue underpins diverse practices of conservation investment and ecosystem management focused on the strategic management of ecosystem functions to sustain and secure human life. We trace the genealogies and geographies of infrastructural nature as an ontology and paradigm of investment that coexists (sometimes in tension) with extractivist commodity regimes. We draw links between literatures on the political economy of ecosystem services and infrastructure and highlight three themes that hold promise for future research: labor, territory, and finance.

scholarly journals Secure Framework Enhancing AES Algorithm in Cloud Computing

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Ijaz Ahmad Awan ◽  
Muhammad Shiraz ◽  
Muhammad Usman Hashmi ◽  
Qaisar Shaheen ◽  
Rizwan Akhtar ◽  
...  
Keyword(s):  
Data Privacy ◽  
Security Threats ◽  
Privacy And Security ◽  
Plain Text ◽  
Aes Algorithm ◽  
Confidential Data ◽  
Network Usage ◽  
Data Centres ◽  
Demand Service ◽  
Remote Data

The tremendous growth of computational clouds has attracted and enabled intensive computation on resource-constrained client devices. Predominantly, smart mobiles are enabled to deploy data and computational intensive applications by leveraging on the demand service model of remote data centres. However, outsourcing personal and confidential data to the remote data servers is challenging for the reason of new issues involved in data privacy and security. Therefore, the traditional advanced encryption standard (AES) algorithm needs to be enhanced in order to cope with the emerging security threats in the cloud environment. This research presents a framework with key features including enhanced security and owner’s data privacy. It modifies the 128 AES algorithm to increase the speed of the encryption process, 1000 blocks per second, by the double round key feature. However, traditionally, there is a single round key with 800 blocks per second. The proposed algorithm involves less power consumption, better load balancing, and enhanced trust and resource management on the network. The proposed framework includes deployment of AES with 16, 32, 64, and 128 plain text bytes. Simulation results are visualized in a way that depicts suitability of the algorithm while achieving particular quality attributes. Results show that the proposed framework minimizes energy consumption by 14.43%, network usage by 11.53%, and delay by 15.67%. Hence, the proposed framework enhances security, minimizes resource utilization, and reduces delay while deploying services of computational clouds.

Social media engagement tactics in U.S. community policing: Potential privacy and security concerns

2020 ◽  
pp. 0032258X2096858
Author(s):  
Alexander E Carter ◽  
Mariea Hoy ◽  
Betsy Byrne DeSimone
Keyword(s):  
Social Media ◽  
Law Enforcement ◽  
Health Information ◽  
Community Policing ◽  
Future Research ◽  
Online Relationships ◽  
Privacy And Security ◽  
Research Directions ◽  
Personally Identifiable Information ◽  
Future Research Directions

Despite law enforcement’s best efforts to use social media as a means of community policing, some engagement tactics may lead citizens to disclose personally identifiable information (PII). We coded 200 tweets with the popular #9PMRoutine that tagged @PascoSheriff (Florida) for participant PII. We found numerous postings of adults’ and children’s PII that are problematic including pictures, health information and security-related comments about their routines or vacations. Implications for law enforcement to protect their communities are discussed as well as opportunities to continue to cultivate their online relationships in a more secure forum. We also provide future research directions.

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