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Evaluating the Impact of Software Security Tactics: A Design Perspective

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Computers, Materials & Continua 2021年第3期66卷 2283-2299页

作者： Mamdouh Alenezi Abhishek Kumar Pandey Richa Verma mohd faizan Shalini Chandra Alka Agrawal Rajeev Kumar Raees Ahmad Khan College of Computer and Information Sciences Prince Sultan UniversitySaudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknowUttar PradeshIndia Department of Computer Science Babasaheb Bhimrao Ambedkar UniversityLucknowUttar PradeshIndia Department of Computer Application Shri Ramswaroop Memorial UniversityLucknowUttar PradeshIndia

Design architecture is the edifice that strengthens the functionalities as well as the security of web *** order to facilitate architectural security from the web application’s design phase itself,practitioners are now adopting the novel mechanism of security *** the intent to conduct a research from the perspective of security tactics,the present study employs a hybrid multi-criteria decision-making approach named fuzzy analytic hierarchy process-technique for order preference by similarity ideal solution(AHP-TOPSIS)method for selecting and assessing multi-criteria *** adopted methodology is a blend of fuzzy analytic hierarchy process(fuzzy AHP)and fuzzy technique for order preference by similarity ideal solution(fuzzy TOPSIS).To establish the efficacy of this methodology,the results are obtained after the evaluation have been tested on fifteen different web application projects(Online Quiz competition,Entrance Test,and others)of the Babasaheb Bhimrao Ambedkar University,Lucknow,*** tabulated outcomes demonstrate that the methodology of the Multi-Level Fuzzy Hybrid system is highly effective in providing accurate estimation for strengthening the security of web *** proposed study will help experts and developers in developing and managing security from any web application design phase for better accuracy and higher security.

关键词： Web application software security security tactics fuzzy AHP fuzzy TOPSIS

An Ensemble Approach to Identify Firearm Listing on Tor Hidden-Services

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Computer Systems Science & Engineering 2021年第8期38卷 141-149页

作者： Hashem Alyami mohd faizan Wael Alosaimi Abdullah Alharbi Abhishek Kumar Pandey Md Tarique Jamal Ansari Alka Agrawal Raees Ahmad Khan Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer Application Integral UniversityLucknow226026Uttar PradeshIndia

The ubiquitous nature of the internet has made it easier for criminals to carry out illegal activities *** sale of illegal firearms and weaponry on dark web cryptomarkets is one such example of *** aid the law enforcement agencies in curbing the illicit trade of firearms on cryptomarkets,this paper has proposed an automated technique employing ensemble machine learning models to detect the firearms listings on *** this work,we have used partof-speech(PoS)tagged features in conjunction with n-gram models to construct the feature set for the ensemble *** studied the effectiveness of the proposed features in the performance of the classification model and the relative change in the dimensionality of the feature *** experiments and evaluations are performed on the data belonging to the three popular cryptomarkets on the Tor dark web from a publicly available *** prediction of the classification model can be utilized to identify the key vendors in the ecosystem of the illegal trade of *** information can then be used by law enforcement agencies to bust firearm trafficking on the dark web.

关键词： Dark web firearms pistols rifles cryptomarkets vendors

Security Test Case Prioritization through Ant Colony Optimization Algorithm

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Computer Systems Science & Engineering 2023年第12期47卷 3165-3195页

作者： Abdulaziz Attaallah Khalil al-Sulbi Areej Alasiry Mehrez Marzougui mohd Waris Khan mohd faizan Alka Agrawal Dhirendra Pandey Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Al-Qunfudah Computer CollegeUmm Al-Qura UniversityMeccaSaudi Arabia College of Computer Science King Khalid UniversityAbha61421Saudi Arabia Department of Computer Application Integral UniversityLucknowUttar Pradesh226026India Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknowUttar Pradesh226025India

Security testing is a critical concern for organizations worldwide due to the potential financial setbacks and damage to reputation caused by insecure software *** of the challenges in software security testing is test case prioritization,which aims to reduce redundancy in fault occurrences when executing test *** effectively applying test case prioritization,both the time and cost required for developing secure software can be *** paper proposes a test case prioritization technique based on the Ant Colony Optimization(ACO)algorithm,a metaheuristic *** performance of the ACO-based technique is evaluated using the Average Percentage of Fault Detection(APFD)metric,comparing it with traditional *** has been applied to a Mobile Payment Wallet application to validate the proposed *** results demonstrate that the proposed technique outperforms the traditional techniques in terms of the APFD *** ACO-based technique achieves an APFD of approximately 76%,two percent higher than the second-best optimal ordering *** findings suggest that metaheuristic-based prioritization techniques can effectively identify the best test cases,saving time and improving software security overall.

关键词： Confidentiality integrity authentication non-repudiation resilience authorization Ant Colony Optimization algorithm

Inferior glenohumeral joint dislocation with greater tuberosity avulsion

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Chinese Journal of Traumatology 2015年第3期18卷 181-183页

作者： mohd faizan Latif Zafar Jilani Mazhar Abbas Yasir Salam Siddiqui Aamir Bin Sabir M.K.A. Sherwani Saifullah Khalid Department of Orthopaedic Surgery and Radiodiagnosis Jawaharlal Nehru Medical College Aligarh Muslim University Aligarh Uttar Pradesh 202002 India

Inferior glenohumeral dislocation is the least common type of glenohumeral dislocations. It may be associated with fractures of the adjacent bones and neurovascular compromise. It should be treated immediately by close reduction. The associated neuropraxia usually recovers with time. Traction-counter traction method is commonly used for reduction followed by immobilization of the shoulder for three weeks. Here, we report a case of inferior glenohumeral joint dislocation with greater tuberosity fracture with transient neurovascular compromise and present a brief review of the literature.

关键词： Shoulderjoint Shoulder dislocation Fractures bone

Large Scale Fish Images Classification and Localization using Transfer Learning and Localization Aware CNN Architecture

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Computer Systems Science & Engineering 2023年第5期45卷 2125-2140页

作者： Usman Ahmad Muhammad Junaid Ali faizan Ahmed Khan Arfat Ahmad Khan ArifUr Rehman Malik Muhammad Ali Shahid mohd Anul Haq Ilyas Khan Zamil SAlzamil Ahmed Alhussen Bahria University Islamabad45550Pakistan COMSATS University Islamabad Islamabad45550Pakistan University of Central Punjab Lahore54000Pakistan College of Computing Khon Kaen UniversityKhon Kaen40000Thailand COMSATS University Islamabad Vehari61170Pakistan Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia

Building an automatic fish recognition and detection system for largescale fish classes is helpful for marine researchers and marine scientists because there are large numbers of fish ***,it is quite difficult to build such systems owing to the lack of data imbalance problems and large number of *** solve these issues,we propose a transfer learning-based technique in which we use Efficient-Net,which is pre-trained on ImageNet dataset and fine-tuned on QuT Fish Database,which is a large scale ***,prior to the activation layer,we use Global Average Pooling(GAP)instead of dense layer with the aim of averaging the results of predictions along with having more information compared to the dense *** check the validity of our model,we validate our model on the validation set which achieves satisfactory ***,for the localization task,we propose an architecture that consists of localization aware block,which captures localization information for better prediction and residual connections to handle the over-fitting ***,the residual connections help the layer to combine missing information with the relevant *** addition,we use class weights and Focal Loss(FL)to handle class imbalance problems along with reducing false ***,class weights assign less weights to classes having fewer instances and large weights to classes having more number of *** the localization,the qualitative assessment shows that we achieve 57%Mean Intersection Over Union(IoU)on testing data,and the classification results show 75%precision,70%recall,78%accuracy and 74%F1-Score for 468 fish species.

关键词： Underwater species transfer learning k-nearest neighbors global average pooling efficientnet