{"title":"Communication in Global Jihad","authors":"Frank Musmar","doi":"10.1080/19361610.2022.2125253","DOIUrl":"https://doi.org/10.1080/19361610.2022.2125253","url":null,"abstract":"","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45382865","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}
Jamil R. Alzghoul, E. Abdallah, Abdel-hafiz S. Al-khawaldeh
{"title":"Fraud in Online Classified Ads: Strategies, Risks, and Detection Methods: A Survey","authors":"Jamil R. Alzghoul, E. Abdallah, Abdel-hafiz S. Al-khawaldeh","doi":"10.1080/19361610.2022.2124328","DOIUrl":"https://doi.org/10.1080/19361610.2022.2124328","url":null,"abstract":"","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45173914","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}
Enni Soerjati Priowirjanto, Eman Suparman, M. Amirulloh, Ema Rahmawati
{"title":"QR Codes to Prevent Copyright Infringement: Case Study of Trusmi Batik in Cirebon, Indonesia","authors":"Enni Soerjati Priowirjanto, Eman Suparman, M. Amirulloh, Ema Rahmawati","doi":"10.1080/19361610.2022.2113731","DOIUrl":"https://doi.org/10.1080/19361610.2022.2113731","url":null,"abstract":"","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48139478","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}
{"title":"IoT Security in Industry: A Threat Model of Existing and Future Network Infrastructure","authors":"Jackie McNett, Josh McNett, Xiaoli Su","doi":"10.1080/19361610.2022.2116921","DOIUrl":"https://doi.org/10.1080/19361610.2022.2116921","url":null,"abstract":"","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44296469","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}
{"title":"Privacy Enhanced Healthcare Data Management Using Associative Data Mining Approaches","authors":"N. Duraimutharasan","doi":"10.1080/19361610.2022.2099707","DOIUrl":"https://doi.org/10.1080/19361610.2022.2099707","url":null,"abstract":"Abstract Hospital medical records with health examination findings can be integrated to assist in uncovering the link between aberrant test results and illness. It is possible to establish a disease-preventive knowledge center using these integrated data by performing associated rule mining on the results. In order to integrate data, sensitive patient information must be shared. Patients’ privacy may be violated by the disclosure of sensitive information. Thus, privacy-preserving associated rule mining in physically partitioned healthcare data is addressed in this article. The suggested technique is further evaluated in terms of data protection, transmission, and computing costs.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":"44 3","pages":"827 - 844"},"PeriodicalIF":1.3,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41285589","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}
{"title":"Predicting Money Laundering Using Machine Learning and Artificial Neural Networks Algorithms in Banks","authors":"M. Lokanan","doi":"10.1080/19361610.2022.2114744","DOIUrl":"https://doi.org/10.1080/19361610.2022.2114744","url":null,"abstract":"","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48572072","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}
Hemalatha Jeyaprakash, Balachander Chokkalingam, Vivek V, S. Mohan
{"title":"Stego Detection: Image Steganalysis Using a Novel Hidden Stego Visual Geometry Group–Based CNN Classification","authors":"Hemalatha Jeyaprakash, Balachander Chokkalingam, Vivek V, S. Mohan","doi":"10.1080/19361610.2022.2110637","DOIUrl":"https://doi.org/10.1080/19361610.2022.2110637","url":null,"abstract":"Abstract Steganography is the concept of embedding or hiding secret information into a cover image by maintaining the visual quality. Various algorithms are designed to classify stego images but the race still continues between Steganographer and Steganalyser. Advances in deep learning provided a solution to detect stego images. In this article, we coin a new paradigm to detect stego image as a three-step process with the following repercussions: (1) employing preprocessing step to enhance the input image, (2 feature extraction using the Mustard honey bee optimization algorithm and, thus, the extracted features will be dimensionally reduced (3) by classification using HSVGG-based CNN. Experimentation carried out on ALASKA2 data set and the results were compared.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":"18 1","pages":"979 - 999"},"PeriodicalIF":1.3,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47867152","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}
{"title":"Adversarial Propaganda: How Enemies Target the U.S. to Fuel Division","authors":"Molly M. Dundon, S. Houck","doi":"10.1080/19361610.2022.2113730","DOIUrl":"https://doi.org/10.1080/19361610.2022.2113730","url":null,"abstract":"Abstract This article explores how foreign enemies of the United States target American citizens with propaganda intended to fuel societal division. It reviews propaganda conceptually, discusses individual, group, and cultural factors that make the United States is uniquely vulnerable to false propaganda, and details the processes and mechanisms by which adversarial propaganda attempts to create false narratives and perpetuate half-truths in the digital domain. It concludes with a discussion on how to mitigate adversarial propaganda’s effects.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":"18 1","pages":"1051 - 1059"},"PeriodicalIF":1.3,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44824007","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}
Jairo Jesús Pinto Hidalgo, Jorge Antonio Silva Centeno
{"title":"Geospatial Intelligence and Artificial Intelligence for Detecting Potential Coca Paste Production Infrastructure in the Border Region of Venezuela and Colombia","authors":"Jairo Jesús Pinto Hidalgo, Jorge Antonio Silva Centeno","doi":"10.1080/19361610.2022.2111184","DOIUrl":"https://doi.org/10.1080/19361610.2022.2111184","url":null,"abstract":"Abstract Cocaine production has reached record levels in recent years. Latin America and the Caribbean are the primary sources of all cocaine consumed globally, thus there are indications that cocaine production processes could spread to countries of transit and consumption, becoming a threat to the security of states. In this article, we address the challenge of detecting potential primary infrastructures to produce coca paste in the border region of Venezuela and Colombia. We use geospatial intelligence and artificial intelligence to detect these objects in remote sensing images and identify their geographic location. We generated a dataset of 16,778 training samples that we named CocaPaste-PI-DETECTION, constructed from PlanetScope satellite imagery rated at NIIRS level 3, ground truth data, and A1, A2, and B2 information sources. An advanced deep learning model, specialized for object detection tasks, was trained. A mean Average Precision (mAP) score of 90.07% was obtained, and we analyzed generalization capabilities and conducted different experiments that demonstrated how the proposed methodology could strengthen intervention strategies against drug trafficking.","PeriodicalId":44585,"journal":{"name":"Journal of Applied Security Research","volume":"18 1","pages":"1000 - 1050"},"PeriodicalIF":1.3,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42803393","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}