scholarly journals Identifying the Phishing Websites Using the Patterns of TLS Certificates

2021 ◽  
Author(s):  
Yuji Sakurai ◽  
Takuya Watanabe ◽  
Tetsuya Okuda ◽  
Mitsuaki Akiyama ◽  
Tatsuya Mori
Keyword(s):  
Clustering Analysis ◽  
Research Question ◽  
Detection Methods ◽  
Large Set ◽  
Great Opportunity ◽  
Domain Names ◽  
Analysis Techniques ◽  
Web Contents ◽  
Potential Benefits ◽  
Conventional Detection

With the recent rise of HTTPS adoption on the Web, attackers have begun “HTTPSifying” phishing websites. HTTPSifying a phishing website has the advantage of making the website appear legitimate and evading conventional detection methods that leverage URLs or web contents in the network. Further, adopting HTTPS could also contribute to generating intrinsic footprints and provide defenders with a great opportunity to monitor and detect websites, including phishing sites, as they would need to obtain a public-key certificate issued for the preparation of the websites. The potential benefits of certificate-based detection include (1) the comprehensive monitoring of all HTTPSified websites by using certificates immediately after their issuance, even if the attacker utilizes dynamic DNS (DDNS) or hosting services; this could be overlooked with the conventional domain-registration-based approaches; and (2) to detect phishing websites before they are published on the Internet. Accordingly, we address the following research question: How can we make use of the footprints of TLS certificates to defend against phishing attacks? For this, we collected a large set of TLS certificates corresponding to phishing websites from Certificate Transparency (CT) logs and extensively analyzed these TLS certificates. We demonstrated that a template of common names, which are equivalent to the fully qualified domain names, obtained through the clustering analysis of the certificates can be used for the following promising applications: (1) The discovery of previously unknown phishing websites and (2) understanding the infrastructure used to generate the phishing websites. Furthermore, we developed a real-time monitoring system using the analysis techniques. We demonstrate its usefulness for the practical security operation. We use our findings on the abuse of free certificate authorities (CAs) for operating HTTPSified phishing websites to discuss possible solutions against such abuse and provide a recommendation to the CAs.

scholarly journals Augmented Reality and Machine Learning Incorporation Using YOLOv3 and ARKit

2021 ◽  
Vol 11 (13) ◽  
pp. 6006
Author(s):  
Huy Le ◽  
Minh Nguyen ◽  
Wei Qi Yan ◽  
Hoa Nguyen
Keyword(s):  
Machine Learning ◽  
Augmented Reality ◽  
Object Detection ◽  
Feature Detection ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Data Annotation ◽  
Machine Learning Model ◽  
Potential Benefits ◽  
Feature Detection And Tracking

Augmented reality is one of the fastest growing fields, receiving increased funding for the last few years as people realise the potential benefits of rendering virtual information in the real world. Most of today’s augmented reality marker-based applications use local feature detection and tracking techniques. The disadvantage of applying these techniques is that the markers must be modified to match the unique classified algorithms or they suffer from low detection accuracy. Machine learning is an ideal solution to overcome the current drawbacks of image processing in augmented reality applications. However, traditional data annotation requires extensive time and labour, as it is usually done manually. This study incorporates machine learning to detect and track augmented reality marker targets in an application using deep neural networks. We firstly implement the auto-generated dataset tool, which is used for the machine learning dataset preparation. The final iOS prototype application incorporates object detection, object tracking and augmented reality. The machine learning model is trained to recognise the differences between targets using one of YOLO’s most well-known object detection methods. The final product makes use of a valuable toolkit for developing augmented reality applications called ARKit.

scholarly journals Molecular marker assisted detection of the mycoparasite Coniothyrium minitans A69 in soil

2000 ◽  
Vol 53 ◽  
pp. 114-117 ◽  
Author(s):  
H.J. Ridgway ◽  
A. Stewart
Keyword(s):  
Detection Methods ◽  
Practical Application ◽  
Coniothyrium Minitans ◽  
Sterile Soil ◽  
Pcr Assay ◽  
Control Activity ◽  
Dna Recovery ◽  
Nonsterile Soil ◽  
Number Of Factors ◽  
Conventional Detection

Coniothyrium minitans A69 has been shown to have biological control activity against the plant pathogen Sclerotinia sclerotiorum and a PCR based assay has been developed to specifically identify this isolate The practical application of this PCR assay for detection of C minitans from soil was assessed Sterile and nonsterile soil was inoculated with spores from C minitans A69 at five different concentrations and DNA recovered using a SDS/Phenol/Chloroform method A number of factors affected DNA recovery and subsequent PCR with a maximum sensitivity of down to 1x102 spores/g soil achieved in sterile soil Detection of C minitans in nonsterile soil was hampered by failure of the fungus to germinate However this method has improved throughput and cost effectiveness compared with conventional detection methods involving quantitative colony recovery

scholarly journals Process Intensification of Dichlorodiphenyltrichloroethane Detection Methods for Determining Trace Concentrations in Soils

2020 ◽  
Vol 1 (1) ◽  
pp. 63-74
Author(s):  
Jinghan Zhao ◽  
Stephen Vanderburgt ◽  
Rafael M. Santos ◽  
Yi Wai Chiang
Keyword(s):  
Operating Time ◽  
Process Intensification ◽  
Soil Samples ◽  
Detection Methods ◽  
Ultrasonic Probe ◽  
Time Consumption ◽  
Trace Concentrations ◽  
Similar Yield ◽  
Conventional Detection

Dichlorodiphenyltrichloroethane (DDT) residue in Ontario soil is expected to be found at trace levels, since it has been banned for over 45 years in Canada. This presents challenges to the efficiency and accuracy of conventional detection methods. This study intensified the conventional DDT detection method, in the characterization of aged soil samples collected from historically-treated sites in Ontario. Recovery, time consumption, and labor intensity were considered for the intensification evaluation. Ultrasonic probe extraction was found to significantly shorten the extraction time, with similar yield compared to ultrasonic water bath extraction and homogenized extraction. Homogenized extraction for 24 h following ultrasonic probe extraction can increase yield over 27%. Rotary evaporator concentration was used, since it can reduce the operating time with comparable recovery. The Florisil clean-up column used in the conventional method was removed from the intensified method, due to its negligible effect and high time consumption. The intensified method may be valuable for further investigation to determine other trace level organochlorine pesticide residues in soil samples.

The Application of Optical Rotation Principle in Density of Oil Mist Measuring

2009 ◽  
Vol 16-19 ◽  
pp. 980-984 ◽  
Author(s):  
Jian Wen Chen ◽  
L.B. Jia ◽  
Jin Chun Song ◽  
Zhi Wei Zhang ◽  
C.J. Pang
Keyword(s):  
Working Condition ◽  
Optical Rotation ◽  
Measuring Method ◽  
Detection Methods ◽  
Experimental Result ◽  
Lubrication System ◽  
Median Diameter ◽  
Oil Mist ◽  
Conventional Detection

The density of oil mist in this paper is an important factor of oil mist lubrication technology, according to which the effect of lubrication will be known and from which the study on atomization effect will also benefit. In general, the oil mist density of oil mist lubrication system in working condition is 3-12g/ m3 , the median diameter is 1-3 [1], which is difficult to measure with conventional detection methods. The paper takes advantage of optical rotation principle as a measuring method for density of oil mist and achieves a good experimental result.

A Structured Approach to Identify Styles in Designs

2012 ◽  
Author(s):  
Tian Chan ◽  
Jürgen Mihm ◽  
Manuel Sosa
Keyword(s):  
Clustering Analysis ◽  
Clustering Algorithm ◽  
Similarity Index ◽  
Positive Association ◽  
Large Set ◽  
Patent Data ◽  
Hierarchical Tree ◽  
The Usa ◽  
Design Style ◽  
Structured Approach

This paper introduces a structured approach, based on clustering analysis, to identify groups of visually similar designs (and potentially members of a design style) in a large set of unique designs. We implemented our approach on the population of design patents filed in the USA during the 1976–2010 period. Design patent data is used in our analysis for two reasons: (1) claims of design patents concern the visual aspects of classes of artifacts; (2) similarity between design patents is captured through a tightly controlled citation process. The cluster analysis is based on constructing a similarity index across all pairs of design patents, followed by applying a divisive graph clustering algorithm to organize design patents into a hierarchical tree. Identified clusters of potentially visually similar design patents are tested for positive association against other grouping criteria that are expected to contain similar designs such as design patents filed by the same designer, design patents filed by the same firm, and design patents assigned to the same patent class category. We discuss the implications of our findings for the study of the emergence and evolution of styles in design.

scholarly journals Student Perceptions of a Trial of Electronic Text Matching Software: A Preliminary Investigation

2005 ◽  
Vol 2 (3) ◽  
pp. 31-43
Author(s):  
D. Green ◽  
◽  
I. Lindemann ◽  
K. Marshall ◽  
G. Wilkinson ◽  
...  
Keyword(s):  
Student Perceptions ◽  
Preliminary Investigation ◽  
Cost Benefit ◽  
Perceived Usefulness ◽  
Detection Methods ◽  
Potential Benefits ◽  
English Speaking ◽  
The Cost ◽  
The University ◽  
The Impact

It is accepted that using electronic detection methods has benefits within an overall strategy to promote academic integrity in an institution. Little attention has been paid to obtaining student perceptions to evaluate the cost/benefit of using such methods. This study reports on the evaluation of a trial of Turnitin software. 728 students responded to a survey about their thoughts on plagiarism and being involved in the trial. This study found that students were generally unsure about the benefits and whether the university should use the software. In particular, two groups of students showed significant differences to the rest of the students sampled. While Non English Speaking Background (NESB) students reported higher levels of perceived usefulness of the software, they also reported higher levels of anxiety about the impact on them. Law students reported lower levels of perceived usefulness of the software and higher levels of concern and mistrust. The impact of such perceptions on the learning environment needs to be investigated. Special attention may be needed in introducing such software to different groups of students in order to limit possible deleterious effects and enhance potential benefits.

scholarly journals Constructing glucagon biosensors as an alternative to conventional detection methods

2019 ◽  
Vol 33 (S1) ◽  
Author(s):  
Teresa Annmarie Ennis ◽  
Willis K. Samson ◽  
Gina L. C. Yosten
Keyword(s):  
Detection Methods ◽  
Conventional Detection

scholarly journals Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil

2019 ◽  
Vol 70 (1) ◽  
pp. 290 ◽  
Author(s):  
O. Uncu ◽  
B. Ozen ◽  
F. Tokatli
Keyword(s):  
Infrared Spectroscopy ◽  
Fatty Acid ◽  
Sunflower Oil ◽  
Spectroscopic Method ◽  
Detection Methods ◽  
Safflower Oil ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Analysis Techniques ◽  
Infrared Spectroscopic

The oil industry is in need of rapid analysis techniques to differentiate mixtures of safflower-sunflower oils from pure oils. The current adulteration detection methods are generally cumbersome and detection limits are questionable. The aim of this study was to test the capability of a mid-infrared spectroscopic method to detect the adulteration of sunflower oil with safflower oil compared to fatty acid analysis. Mid-infrared spectra of pure oils and their mixtures at the 10–60% range were obtained at 4000–650 cm-1 wavenumber and fatty acid profiles were determined. Data were analyzed by multivariate statistical analysis techniques. The lowest level of detection was obtained with mid-infrared spectroscopy at 30% while the fatty acid profile could determine adulteration at around 60%. Adulteration levels were predicted successfully using PLS regression analysis of infrared data with R2 (calibration) = 0.96 and R2 (validation) = 0.93. As a rapid and minimum waste generating technique, mid-infrared spectroscopy could be a useful tool for the screening of raw material to detect safflower-sunflower oil mixtures.

Extending Relationship Marketing to Human Resources Management Using the CaRM Approach to Personnel Recruitment

2011 ◽  
pp. 2112-2119
Author(s):  
Tobias Keim ◽  
Kerstin Fritsch
Keyword(s):  
Human Resources ◽  
Relationship Marketing ◽  
Research Question ◽  
Human Resources Management ◽  
Recent Change ◽  
Customer Relationship ◽  
Personnel Recruitment ◽  
New Concepts ◽  
Potential Benefits ◽  
Traditional Approaches

Since the early 1990s, relationship-oriented approaches to product and services marketing have gained increasing interest by research and practice. While the overall approach of managing customer interactions has been inherent to the ways of doing business ever since, the recent change from transaction-oriented to relationship-oriented marketing is typically considered as a major paradigm shift (Grönroos, 2004). The current boom of customer relationship management concepts and solutions is only one indicator of this development. However, while relationship marketing has been discussed in various contexts such as business-to-business and business-to-consumer marketing, little attention so far has been paid to the question of what such an approach could add to the human resources field. This is astonishing as labor markets due to demographic effects and other changes in labor offer and demand tend to get increasingly narrow. Thus, traditional approaches to personnel marketing might no longer be sufficient and new concepts for the successful recruitment of qualified staff might be needed. Therefore, our research question is: How can we transfer the concepts of relationship marketing to personnel recruitment and what are potential benefits of such an approach? In order to answer this question, we present an approach for the ISsupported management of employer-candidate relationships. We outline two major dimensions of the approach together with selected validation results. The objective is to enhance human resources information systems (HRIS) research and to present an approach that could potentially assist employers in better facing mid-term shortages of qualified staff on a drastically changing labor market.

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