Pub Date : 2022-07-27DOI: 10.1080/19361610.2022.2099688
A. Boumedine, Samia Bentaieb, A. Ouamri
Abstract In this article, we propose a three-dimensional (3D) face recognition approach for depth data captured by Kinect based on a combination of speeded up robust features (SURF) and k-nearest neighbor (KNN) algorithms. First, the shape index maps of the preprocessed 3D faces of the training gallery are computed, then the SURF feature vectors are extracted and used to form the dictionary. In the recognition process, we propose an improved KNN classifier to find the best match. The evaluation was performed using CurtinFaces and KinectFaceDB data sets, achieving rank-1 recognition rates of 96.78% and 94.23%, respectively, when using two samples per person for training.
{"title":"An Improved KNN Classifier for 3D Face Recognition Based on SURF Descriptors","authors":"A. Boumedine, Samia Bentaieb, A. Ouamri","doi":"10.1080/19361610.2022.2099688","DOIUrl":"https://doi.org/10.1080/19361610.2022.2099688","url":null,"abstract":"Abstract In this article, we propose a three-dimensional (3D) face recognition approach for depth data captured by Kinect based on a combination of speeded up robust features (SURF) and k-nearest neighbor (KNN) algorithms. First, the shape index maps of the preprocessed 3D faces of the training gallery are computed, then the SURF feature vectors are extracted and used to form the dictionary. In the recognition process, we propose an improved KNN classifier to find the best match. The evaluation was performed using CurtinFaces and KinectFaceDB data sets, achieving rank-1 recognition rates of 96.78% and 94.23%, respectively, when using two samples per person for training.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42929214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-26DOI: 10.1080/19361610.2022.2104106
R. Veresha, Alexander Dzhuzha, D. Tychyna, Anastasiya Dzhuzha
Abstract The study examines current challenges faced by Ukrainian legal system in matters of criminological and victimological security of society during quarantine measures related to COVID-19. Using methods of system analysis and scientific design, current legal framework of Ukraine in regulation of public relations was analyzed. The study draws attention to the fact that, Ukraine has improved its legislation on the control of medical purchases and the provision of necessary materials to medical institutions. At the same time, the authorities will have to further improve the framework for patient monitoring and the epidemiological surveillance system in the medical sector.
{"title":"Criminological and Victimological Support of World and National Security during Quarantine Measures Related to the Spread of Acute Respiratory Disease COVID-19 Caused by Coronavirus Sars-Cov-2","authors":"R. Veresha, Alexander Dzhuzha, D. Tychyna, Anastasiya Dzhuzha","doi":"10.1080/19361610.2022.2104106","DOIUrl":"https://doi.org/10.1080/19361610.2022.2104106","url":null,"abstract":"Abstract The study examines current challenges faced by Ukrainian legal system in matters of criminological and victimological security of society during quarantine measures related to COVID-19. Using methods of system analysis and scientific design, current legal framework of Ukraine in regulation of public relations was analyzed. The study draws attention to the fact that, Ukraine has improved its legislation on the control of medical purchases and the provision of necessary materials to medical institutions. At the same time, the authorities will have to further improve the framework for patient monitoring and the epidemiological surveillance system in the medical sector.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44698487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-13DOI: 10.1080/19361610.2022.2086784
M. Mhatre, Harshvivek Kashid, Tanisha Jain, P. Chavan
Abstract A key aspect of sustainable business development involves protecting a company’s products from counterfeiting. Since this can impact brand’s image and often, product counterfeits are of a minor quality which can be dangerous and even pose health hazards. Counterfeiters gain profits by manufacturing products using lesser quality materials and production methods. Many counterfeit products in the market are difficult to identify for a normal customer and require to be examined by a trained professional which is time-consuming and costly. In this paper, we propose a method for identifying counterfeit by a simple scan of the quick response code on the product. Since these codes are unique and are implemented by unique algorithms, it is almost impossible to forge them. Also, implementing an encrypted peer-to-peer system for the database makes it impossible for attackers to tamper with the database. The proposed method collectively not only helps laypersons to identify the authenticity of products but also an ownership tracking system where products are linked to the owners’ account which will allow them to produce proof of purchase and authenticity when reselling products and when claiming the warranty of the product. This will help in reducing manufacturing and materials costs used from traditional methods against counterfeiting such as Radio-Frequency Identification and the Hologram technique.
{"title":"BCPIS: Blockchain-based Counterfeit Product Identification System","authors":"M. Mhatre, Harshvivek Kashid, Tanisha Jain, P. Chavan","doi":"10.1080/19361610.2022.2086784","DOIUrl":"https://doi.org/10.1080/19361610.2022.2086784","url":null,"abstract":"Abstract A key aspect of sustainable business development involves protecting a company’s products from counterfeiting. Since this can impact brand’s image and often, product counterfeits are of a minor quality which can be dangerous and even pose health hazards. Counterfeiters gain profits by manufacturing products using lesser quality materials and production methods. Many counterfeit products in the market are difficult to identify for a normal customer and require to be examined by a trained professional which is time-consuming and costly. In this paper, we propose a method for identifying counterfeit by a simple scan of the quick response code on the product. Since these codes are unique and are implemented by unique algorithms, it is almost impossible to forge them. Also, implementing an encrypted peer-to-peer system for the database makes it impossible for attackers to tamper with the database. The proposed method collectively not only helps laypersons to identify the authenticity of products but also an ownership tracking system where products are linked to the owners’ account which will allow them to produce proof of purchase and authenticity when reselling products and when claiming the warranty of the product. This will help in reducing manufacturing and materials costs used from traditional methods against counterfeiting such as Radio-Frequency Identification and the Hologram technique.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49290719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-10DOI: 10.1080/19361610.2022.2096387
Rrezearta Thaqi, Kamer Vishi, Blerim Rexha
Abstract Today’s web represents the most extensive engineered system ever created by humankind. Web security is critical to web application providers and end-users. Burp Suite is established as a state-of-the-art and fully featured set of tools for web vulnerability scanners. This paper presents a novel approach using state of the art Machine Learning algorithms applied to the Burp Suite extension. These algorithms were used to scan for: SQL injection, Cross-Site Request Forgery, and XML External Entity vulnerabilities in university web applications. The results show that the best algorithm is Long Short-Term Memory and that the targeted website is safe to use.
{"title":"Enhancing Burp Suite with Machine Learning Extension for Vulnerability Assessment of Web Applications","authors":"Rrezearta Thaqi, Kamer Vishi, Blerim Rexha","doi":"10.1080/19361610.2022.2096387","DOIUrl":"https://doi.org/10.1080/19361610.2022.2096387","url":null,"abstract":"Abstract Today’s web represents the most extensive engineered system ever created by humankind. Web security is critical to web application providers and end-users. Burp Suite is established as a state-of-the-art and fully featured set of tools for web vulnerability scanners. This paper presents a novel approach using state of the art Machine Learning algorithms applied to the Burp Suite extension. These algorithms were used to scan for: SQL injection, Cross-Site Request Forgery, and XML External Entity vulnerabilities in university web applications. The results show that the best algorithm is Long Short-Term Memory and that the targeted website is safe to use.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42328192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-07DOI: 10.1080/19361610.2022.2094209
Olusegun I. Olaniyan, U. Ojedokun, A. Aderinto
Abstract One-chance transit crime is a prevalent yet under-researched form of transit crime in Nigeria. Thus, this study investigated the crime and the victimization experiences of commuters in Ibadan city. Routine activity theory was employed as theoretical framework. Data were generated from victims of the crime, police personnel and motor-park officials through in-depth interviews and focus group discussion methods. Findings revealed that one-chance transit crime is commonly perpetrated by criminals making use of taxis for commercial transportation. Money and mobile phones of commuters were the major targets of this category of criminals. One-chance transit criminals are luring their victims through different strategies.
{"title":"One-Chance Transit Crime and Commuters’ Victimization Experiences in Ibadan City, Nigeria","authors":"Olusegun I. Olaniyan, U. Ojedokun, A. Aderinto","doi":"10.1080/19361610.2022.2094209","DOIUrl":"https://doi.org/10.1080/19361610.2022.2094209","url":null,"abstract":"Abstract One-chance transit crime is a prevalent yet under-researched form of transit crime in Nigeria. Thus, this study investigated the crime and the victimization experiences of commuters in Ibadan city. Routine activity theory was employed as theoretical framework. Data were generated from victims of the crime, police personnel and motor-park officials through in-depth interviews and focus group discussion methods. Findings revealed that one-chance transit crime is commonly perpetrated by criminals making use of taxis for commercial transportation. Money and mobile phones of commuters were the major targets of this category of criminals. One-chance transit criminals are luring their victims through different strategies.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44865231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-21DOI: 10.1080/19361610.2022.2084497
Hyeyoung Lim
{"title":"Where One Door Shuts, Another Opens: Honesty Is the Best Virtue","authors":"Hyeyoung Lim","doi":"10.1080/19361610.2022.2084497","DOIUrl":"https://doi.org/10.1080/19361610.2022.2084497","url":null,"abstract":"","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43374798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-16DOI: 10.1080/19361610.2022.2086782
S. Holmes, R. Wolf, Thomas Baker
{"title":"Public-Private Partnerships: Exploring Perceptions and Efficacy of Community Security Patrols","authors":"S. Holmes, R. Wolf, Thomas Baker","doi":"10.1080/19361610.2022.2086782","DOIUrl":"https://doi.org/10.1080/19361610.2022.2086782","url":null,"abstract":"","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45245557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-15DOI: 10.1080/19361610.2022.2086785
Y. Takefuji
Abstract Incident reports show the high risk of losing trust in global supply chain management. Under the covid-19 pandemic, cloud-based global supply chains have been vulnerable to malicious attacks. The goal of this paper is to show the high risk caused by third-party access in the current global supply chains and how to mitigate it. Based on the incident reports, global supply chain leaders are unaware of the risks of third-party access. The current global supply chains must be transformed into robust and resilient systems against malicious attacks. This paper shows methods on how to mitigate the high-security risk. HIGHLIGHTS Incident reports show the high risk of losing trust in global supply chain management against malicious attacks. The high risk caused by third-party access in the current global supply chains will be illustrated. Global supply chain leaders are unaware of the risks of third-party access. The global supply chains must be transformed into robust systems. This paper shows methods on how to mitigate the high-security risk in third-party logistics. The lower the risk, the lower the chance of losing trust. The more a leader is aware of the high risks, the less likely he or she is to lose trust.
{"title":"Security Enhancement of Third Parties Is Needed in Global Supply Chain Management","authors":"Y. Takefuji","doi":"10.1080/19361610.2022.2086785","DOIUrl":"https://doi.org/10.1080/19361610.2022.2086785","url":null,"abstract":"Abstract Incident reports show the high risk of losing trust in global supply chain management. Under the covid-19 pandemic, cloud-based global supply chains have been vulnerable to malicious attacks. The goal of this paper is to show the high risk caused by third-party access in the current global supply chains and how to mitigate it. Based on the incident reports, global supply chain leaders are unaware of the risks of third-party access. The current global supply chains must be transformed into robust and resilient systems against malicious attacks. This paper shows methods on how to mitigate the high-security risk. HIGHLIGHTS Incident reports show the high risk of losing trust in global supply chain management against malicious attacks. The high risk caused by third-party access in the current global supply chains will be illustrated. Global supply chain leaders are unaware of the risks of third-party access. The global supply chains must be transformed into robust systems. This paper shows methods on how to mitigate the high-security risk in third-party logistics. The lower the risk, the lower the chance of losing trust. The more a leader is aware of the high risks, the less likely he or she is to lose trust.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43688960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-02DOI: 10.1080/19361610.2022.2080470
R. Chaturvedi, Sudeep D. Thepade, Swati Ahirrao
Abstract In the digital world, securing data is very significant. Digital data can focus either on content secrecy or the quality of recovered secret content. Visual Secret Sharing (VSS) becomes vital when content secrecy is essential over quality. VSS encrypts the secret into “n” share. The individual share cannot reveal any information; the secret gets revealed only when a predefined number of shares come together. Earlier attempted probabilistic and random grid approaches of size invariant VSS compromise in quality of recovered secret. Paper presents a method as a modified deterministic approach for size invariant VSS with improved quality of recovered secret; giving minimum Mean Squared Error (MSE), maximum Peak Signal to Noise Ratio (PSNR), and Structural Similarity Index (SSIM) close to “1” as compared to other existing methods.
{"title":"Modified Deterministic Approach for Size Invariant Visual Secret Sharing with Improved Quality of Recovered Secret","authors":"R. Chaturvedi, Sudeep D. Thepade, Swati Ahirrao","doi":"10.1080/19361610.2022.2080470","DOIUrl":"https://doi.org/10.1080/19361610.2022.2080470","url":null,"abstract":"Abstract In the digital world, securing data is very significant. Digital data can focus either on content secrecy or the quality of recovered secret content. Visual Secret Sharing (VSS) becomes vital when content secrecy is essential over quality. VSS encrypts the secret into “n” share. The individual share cannot reveal any information; the secret gets revealed only when a predefined number of shares come together. Earlier attempted probabilistic and random grid approaches of size invariant VSS compromise in quality of recovered secret. Paper presents a method as a modified deterministic approach for size invariant VSS with improved quality of recovered secret; giving minimum Mean Squared Error (MSE), maximum Peak Signal to Noise Ratio (PSNR), and Structural Similarity Index (SSIM) close to “1” as compared to other existing methods.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45034632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-27DOI: 10.1080/19361610.2022.2079939
A. Mahmud
Abstract Artificial Intelligence (AI) is playing a significant role in our social and daily life for technological development. The efficient integration of AI into business organizations or firms is improving performance and efficiency on a significant scale. Nowadays, artificial intelligence (AI) is assisting criminal activities or committing crimes through autonomous activity related to business, e-commerce, and market manipulation. AI could be used to aid criminal activity or, in certain situations, a mistake has resulted in criminal activity and most of the fields lack strong legislative safeguards due to the regulatory challenges imposed by the special nature of AI-Crime (AIC). The paper has examined the application and criminalization of AI in business and firm management. As we will have to strengthen the legislation for managing, preventing, and punishing AI-based business-related crimes, the last segment of the paper has suggested recommendations to counter the regulatory challenges.
{"title":"Application and Criminalization of the Artificial Intelligence in Business: Recommendation to Counter the Regulatory Challenges","authors":"A. Mahmud","doi":"10.1080/19361610.2022.2079939","DOIUrl":"https://doi.org/10.1080/19361610.2022.2079939","url":null,"abstract":"Abstract Artificial Intelligence (AI) is playing a significant role in our social and daily life for technological development. The efficient integration of AI into business organizations or firms is improving performance and efficiency on a significant scale. Nowadays, artificial intelligence (AI) is assisting criminal activities or committing crimes through autonomous activity related to business, e-commerce, and market manipulation. AI could be used to aid criminal activity or, in certain situations, a mistake has resulted in criminal activity and most of the fields lack strong legislative safeguards due to the regulatory challenges imposed by the special nature of AI-Crime (AIC). The paper has examined the application and criminalization of AI in business and firm management. As we will have to strengthen the legislation for managing, preventing, and punishing AI-based business-related crimes, the last segment of the paper has suggested recommendations to counter the regulatory challenges.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46004240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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