scholarly journals Biometric Systems De-Identification: Current Advancements and Future Directions

2021 ◽  
Vol 1 (3) ◽  
pp. 470-495
Author(s):  
Md Shopon ◽  
Sanjida Nasreen Tumpa ◽  
Yajurv Bhatia ◽  
K. N. Pavan Kumar ◽  
Marina L. Gavrilova
Keyword(s):  
Information Security ◽  
System Development ◽  
User Profile ◽  
Information Privacy ◽  
Biometric System ◽  
Comprehensive Overview ◽  
Future Directions ◽  
Behavioral Biometrics ◽  
Open Questions ◽  
Biometric Systems

Biometric de-identification is an emerging topic of research within the information security domain that integrates privacy considerations with biometric system development. A comprehensive overview of research in the context of authentication applications spanning physiological, behavioral, and social-behavioral biometric systems and their privacy considerations is discussed. Three categories of biometric de-identification are introduced, namely complete de-identification, auxiliary biometric preserving de-identification, and traditional biometric preserving de-identification. An overview of biometric de-identification in emerging domains such as sensor-based biometrics, social behavioral biometrics, psychological user profile identification, and aesthetic-based biometrics is presented. The article concludes with open questions and provides a rich avenue for subsequent explorations of biometric de-identification in the context of information privacy.

scholarly journals Late-maturity α-amylase (LMA): exploring the underlying mechanisms and end-use quality effects in wheat

Planta ◽  
2021 ◽  
Vol 255 (1) ◽  
Author(s):  
Ashley E. Cannon ◽  
Elliott J. Marston ◽  
Alecia M. Kiszonas ◽  
Amber L. Hauvermale ◽  
Deven R. See
Keyword(s):  
Wheat Breeding ◽  
Protein Accumulation ◽  
Comprehensive Overview ◽  
Breeding Programs ◽  
Future Directions ◽  
Open Questions ◽  
Late Maturity ◽  
End Use ◽  
Molecular Aspects ◽  
Underlying Mechanisms

Abstract Main conclusion A comprehensive understanding of LMA from the underlying molecular aspects to the end-use quality effects will greatly benefit the global wheat industry and those whose livelihoods depend upon it. Abstract Late-maturity α-amylase (LMA) leads to the expression and protein accumulation of high pI α-amylases during late grain development. This α-amylase is maintained through harvest and leads to an unacceptable low falling number (FN), the wheat industry’s standard measure for predicting end-use quality. Unfortunately, low FN leads to significant financial losses for growers. As a result, wheat researchers are working to understand and eliminate LMA from wheat breeding programs, with research aims that include unraveling the genetic, biochemical, and physiological mechanisms that lead to LMA expression. In addition, cereal chemists and quality scientists are working to determine if and how LMA-affected grain impacts end-use quality. This review is a comprehensive overview of studies focused on LMA and includes open questions and future directions.

scholarly journals Biometric Technologies in Recognition Systems: A Survey

2019 ◽  
Vol 24 (6) ◽  
pp. 132
Author(s):  
Shihab A. Shawkat1 ◽  
Raya N. Ismail2
Keyword(s):  
Identity Management ◽  
Personal Attributes ◽  
Behavioral Characteristics ◽  
Human Society ◽  
Biometric System ◽  
Comprehensive Overview ◽  
Biometric Systems ◽  
Identity Management Systems ◽  
Recognition Systems ◽  
Hand Geometry

The ability to recognize people uniquely and to associate personal attributes such as name and nationality with them has been very important to the fabric of human society. Nowadays, modern societies have an explosion in population growth and increased mobility which necessitated building advanced identity management systems for recording and maintaining people’s identities. In the last decades, biometrics has played an important role in recognizing people instead of traditional ways such as passwords and keys which can be forgotten or be stolen. Biometric systems employ physiological and/or behavioral characteristics of people to verify their identities. There are different biometric modalities that can be used to recognize people such as fingerprints, face, hand geometry, voice, iris, signature, etc. In this paper, a comprehensive overview have been provided on the major issues of biometric systems including general biometric system architecture, major biometric traits, biometric systems performance, and some relevant works.   http://dx.doi.org/10.25130/tjps.24.2019.120

Multimodal biometric system using deep learning based on face and finger vein fusion

2021 ◽  
pp. 1-13
Author(s):  
Shikhar Tyagi ◽  
Bhavya Chawla ◽  
Rupav Jain ◽  
Smriti Srivastava
Keyword(s):  
High Performance ◽  
Recognition Accuracy ◽  
Error Rates ◽  
Facial Features ◽  
Biometric System ◽  
Deep Convolutional Neural Networks ◽  
Finger Vein ◽  
Biometric Systems ◽  
Overall Performance ◽  
Recognition Systems

Single biometric modalities like facial features and vein patterns despite being reliable characteristics show limitations that restrict them from offering high performance and robustness. Multimodal biometric systems have gained interest due to their ability to overcome the inherent limitations of the underlying single biometric modalities and generally have been shown to improve the overall performance for identification and recognition purposes. This paper proposes highly accurate and robust multimodal biometric identification as well as recognition systems based on fusion of face and finger vein modalities. The feature extraction for both face and finger vein is carried out by exploiting deep convolutional neural networks. The fusion process involves combining the extracted relevant features from the two modalities at score level. The experimental results over all considered public databases show a significant improvement in terms of identification and recognition accuracy as well as equal error rates.

Protecting a whale in a sea of phish

2020 ◽  
Vol 35 (3) ◽  
pp. 214-231
Author(s):  
Daniel Pienta ◽  
Jason Bennett Thatcher ◽  
Allen Johnston
Keyword(s):  
Information Security ◽  
Real World ◽  
Spillover Effects ◽  
Directed Attention ◽  
Future Directions ◽  
Security Research ◽  
Email Message ◽  
Multiple Domains ◽  
Future Information

Whaling is one of the most financially damaging, well-known, effective cyberattacks employed by sophisticated cybercriminals. Although whaling largely consists of sending a simplistic email message to a whale (i.e. a high-value target in an organization), it can result in large payoffs for cybercriminals, in terms of money or data stolen from organizations. While a legitimate cybersecurity threat, little information security research has directed attention toward whaling. In this study, we begin to provide an initial understanding of what makes whaling such a pernicious problem for organizations, executives, or celebrities (e.g. whales), and those charged with protecting them. We do this by defining whaling, delineating it from general phishing and spear phishing, presenting real-world cases of whaling, and provide guidance on future information security research on whaling. We find that whaling is far more complex than general phishing and spear phishing, spans multiple domains (e.g. work and personal), and potentially results in spillover effects that ripple across the organization. We conclude with a discussion of promising future directions for whaling and information security research.

scholarly journals Are Engaged Workaholics Protected against Job-Related Negative Affect and Anxiety before Sleep? A Study of the Moderating Role of Gender

2018 ◽  
Vol 15 (9) ◽  
pp. 1996 ◽  
Author(s):  
Paola Spagnoli ◽  
Cristian Balducci ◽  
Liliya Scafuri Kovalchuk ◽  
Francesco Maiorano ◽  
Carmela Buono
Keyword(s):  
Negative Affect ◽  
Work Engagement ◽  
Process Analysis ◽  
Future Directions ◽  
Open Questions ◽  
Heavy Work ◽  
Conditional Process Analysis ◽  
The Relationship ◽  
Moderating Role

Although the interplay between workaholism and work engagement could explain several open questions regarding the Heavy Work Investment (HWI) phenomenon, few studies have addressed this issue. Thus, with the purpose of filling this literature gap, the present study aimed at examining a model where job-related negative affect mediates the relationship between the interplay of workaholism and work engagement, and anxiety before sleep. Since gender could have a role in the way the interplay would impact on the theorized model, we also hypothesized a moderated role of gender on the specific connection concerning the interplay between workaholism and work engagement, in relation to job-related negative affect. Conditional process analysis was conducted on a sample of 146 participants, balanced for gender. Results supported the mediating model and indicated the presence of a moderated role of gender, such that engaged workaholic women reported significantly less job-related negative affect than disengaged workaholic women. On the contrary, the interplay between workaholism and work engagement did not seem significant for men. Results are discussed in light of the limitations and future directions of the research in this field, as well as the ensuing practical implications.

scholarly journals REVIEW AND ANALYSIS OF LESSONS LEARNED HANDWRITING EXPERTISE AS A WAY TO IDENTIFY PROBLEMS AND WAYS TO SOLVE THEM IN EXISTING METHODS OF HANDWRITING RESEARCH

2019 ◽  
pp. 29-44
Author(s):  
Vladlena Vyacheslavovna Lozben ◽  
Luybov Vadimovna Gajkova
Keyword(s):  
Information Security ◽  
Simulation Modeling ◽  
Lessons Learned ◽  
Comparative Characteristic ◽  
Scientific Methods ◽  
Biometric Systems ◽  
Analysis And Synthesis ◽  
The Impact ◽  
Constant Improvement ◽  
Handwriting Research

In today’s environment, information security needs constant improvement. Therefore, biometric technologies are becoming increasingly important as a key area of information protection, contributing to the widespread introduction of biometric systems across firms and organizations. Purpose: in the course of handwriting research, human participation is a prerequisite for handwriting expertise, which entails certain problems in the field of biometric expertise, the emphasis on which is contained in the article. Methodology: tools and methods are considered to reduce the impact of problems on the process of handwriting examination: popular scientific methods of phase and case analysis and synthesis; Mathematical and simulation modeling methods and tools. Results: in order to identify approaches to reducing subjectivity of expert’s conclusions, a review and analysis of existing solutions was carried out, as a result of which a comparative characteristic of approaches to solving the problem of handwriting examination was drawn up. Scope of results: the results of this study will help the organization’s leadership in information security.

AMELOGLYPHICS-AN UPDATED REVIEW

2021 ◽  
pp. 44-46
Author(s):  
Linda Christabel. S ◽  
Merrylda Claribel. S ◽  
Sushmitha. M ◽  
Mohammed Haroon. A. L ◽  
Karpagam. S ◽  
...  
Keyword(s):  
Soft Tissues ◽  
Forensic Odontology ◽  
Vital Role ◽  
Biometric System ◽  
Hard Tissue ◽  
Gas Leakage ◽  
Biometric Systems ◽  
Stored Information ◽  
Mass Disasters ◽  
Modern Era

In this modern era equipped with technologies, the crime rates are increasing exponentially. This requires newer methodologies to identify a person who is a victim as well as the perpetruator. Automated biometric systems helps in identifying the individuals by the stored information in the database which are unique for each individual. Some of the important methods are ngerprint biometrics and iris scanning.As these methods involves soft tissues they cant be relied upon during mass disasters like burn accidents and gas leakage accidents. Hence, a biometric system using the hard tissue is required for better identication of the individuals. Thus, Ameloglyphics is introduced to aid in identication of individuals died during mass disasters and it plays a vital role in forensic odontology. This review highlights this technology in detail.

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