September 2026: Top 10 Read Articles in Network Security and Its Applications

#researchpublication #publication #Submission #submitnow #submissionsopen #SubmitYourPaper #SubmitYourAbstract #submityourwork #CallForPapers #CallForAbstracts #callforsubmissions #Papersubmission #deadline #online #article #articlesubmission #articlepublishing #papers #research #researchpaper

Submit Your Research Articles...!!!

International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

September 2026: Top 10 Read Articles in Network Security and Its Applications

https://www.academia.edu/175747929/September_2026_Top_10_Read_Articles_in_Network_Security_and_Its_Applications

Authors are invited to submit papers for this journal through Submission System (https://airccse.com/submissioncs/home.html)

Here's where you can reach us: ijnsa@aircconline.com (or) ijnsa@airccse.org (or) ijnsajournl@gmail.com

For More Details, Please Visit Us: https://airccse.org/journal/ijnsa.html

A Proposed Model for Dimensionality Reduction to Improve the Classification Capability of Intrusion Protection Systems

International Journal of Network Security & Its Applications (IJNSA)

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

A Proposed Model for Dimensionality Reduction to Improve the Classification Capability of Intrusion Protection Systems

Hajar Elkassabi, Mohammed Ashour and Fayez Zaki, Mansoura University, Egypt

Abstract

Over the past few years, intrusion protection systems have drawn a mature research area in the field of computer networks. The problem of excessive features has a significant impact on intrusion detection performance. The use of machine learning algorithms in many previous researches has been used to identify network traffic, harmful or normal. Therefore, to obtain the accuracy, we must reduce the dimensionality of the data used. A new model design based on a combination of feature selection and machine learning algorithms is proposed in this paper. This model depends on selected genes from every feature to increase the accuracy of intrusion detection systems. We selected from features content only ones which impact in attack detection. The performance has been evaluated based on a comparison of several known algorithms. The NSL-KDD dataset is used for examining classification. The proposed model outperformed the other learning approaches with accuracy 98.8 %.

Keywords

NSL-KDD, Machine Learning, Intrusion Detection Systems, Classification, Feature Selection

Abstract URL: http://aircconline.com/abstract/ijnsa/v12n4/12420ijnsa02.html

Original Source URL: https://aircconline.com/ijnsa/V12N4/12420ijnsa02.pdf

Volume URL: https://airccse.org/journal/jnsa20_current.html

7th International Conference on Machine Learning Techniques (MLTEC 2026)

#MachineLearning #ArtificialIntelligence #datascience #AI #deeplearning #computerscience #technology #IoT #dataanalytics #neuralnetworks #Robotics #computervision #engineering #BigData #datamining #datascientist #cloudcomputing #development #programming #coding #education #datavisualization

Submit Your Research Articles...!!!

Welcome To MLTEC 2026

7th International Conference on Machine Learning Techniques (MLTEC 2026)

December 19 ~ 20, 2026, Sydney, Australia

Webpage URL: https://mltec.org/

Submission Deadline: September 20, 2026

Contact us:

Here's where you can reach us: mltec@mltec.org (or) confmltec@gmail.com

Submission URL: https://csea2026.org/submission/index.php

Tools and Techniques for Network Forensics

Submit Your Research Articles...!!!

International Journal of Network Security & Its Applications (IJNSA) (ERA Indexed, H Index - 51)

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

Paper Title: Tools and Techniques for Network Forensics

PDF URL: https://airccse.org/journal/nsa/0409s2.pdf

Authors are invited to submit papers for this journal through Submission System

Submission System URL: https://airccse.com/submissioncs/home.html

Here's where you can reach us: ijnsa@aircconline.com (or) ijnsa@airccse.org (or) ijnsajournl@gmail.com

#NetworkForensics #CyberSecurity #DigitalForensics #NetworkSecurity #IPTraceback #Honeypots #Honeynets #PacketSniffing #IntrusionDetection #EmailForensics #WebForensics #CyberCrime #SecurityInvestigation #NetworkMonitoring #ForensicAnalysis

International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 51

#NetworkSecurity #CyberSecurity #CybersecurityResearch #InformationSecurity #ComputerSecurity #NetworkSecurityResearch #ArtificialIntelligence #AI #MachineLearning #AIForSecurity #MachineLearningSecurity #GenerativeAI #CybersecurityAI #IntrusionDetection #ThreatDetection #CyberThreats #SecurityResearch #Privacy #DataSecurity #IoTSecurity #CloudSecurity #BlockchainSecurity #Cryptography #NetworkProtection #InformationTechnology #ComputerScience #ResearchPublication #AcademicResearch #ResearchPaper #CallForPapers #CFP #OpenAccessJournal #PeerReviewedJournal #JournalPublication

Submit Your Research Articles...!!!

Welcome To IJNSA

International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 51

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

Submission Deadline: September 19, 2026

Contact us:

Here's where you can reach us: ijnsa@aircconline.com (or) ijnsa@airccse.org (or) ijnsajournl@gmail.com

Submission URL: https://airccse.com/submissioncs/home.html

International Journal of Network Security & Its Applications (IJNSA)

#CallForPapers #JournalPublication #ResearchPublication #AcademicResearch #ResearchPaper #PaperSubmission #ScholarlyPublishing #AcademicJournal #ResearchCommunity #ResearchAuthors #Researchers #ScientificResearch #ResearchArticle #ManuscriptSubmission #AcademicPublishing #JournalSubmission #ResearchOpportunities #ResearchNews #ResearchPaperWriting #PeerReviewed #ScholarlyResearch #PublicationOpportunity #ResearchCall #OpenAccessJournal #AcademicWriting

International Journal of Network Security & Its Applications (IJNSA)

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Over 51% of the IJNSA published articles cited.

https://www.scilit.com/sources/21484

For More Details, Please Visit Us: https://airccse.org/journal/ijnsa.html

International Journal of Network Security & Its Applications (IJNSA)

International Journal of Network Security & Its Applications (IJNSA)

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

Enhanced Authentication for Web-Based Security using Keystroke Dynamics

Siti Rahayu Selamat1, Teh Teck Guan2 and Robiah Yusof1, 1Universiti Teknikal Malaysia Melaka, Malaysia, 2Infineon Technologies Melaka, Malaysia

Abstract

Current password authentication system was proven not secure enough to protect the information from intruders. However, various research has been done and the results show the value of FRR still low and the value of FAR still high. Thus, one of the methods suggests, is enhancing the current system using keystroke dynamics. Keystroke dynamics is a type of biometric authentication that does not require any special hardware, easy to use as the same routine as normal password authentication. Therefore, this research proposed an authentication system using keystroke dynamics to prevent the system from intruders. A system is developed that consist of two parts which are enrolment and verification. Then, a prototype is developed for testing process that consists of 3 main modules, namely Enrolment, Client/Server Connection and, Verification and Retraining. Based on the testing, the system proved that the keystroke dynamic authentication system was able to implement in client/server environment and shows the value of EER is low that indicates it provide a better system authentication. In future, the system can be improved by enhancing the security, performance, and user interface.

Keywords

Authentication, Web-based, Biometric, Keystroke Dynamics

Abstract URL: http://aircconline.com/abstract/ijnsa/v12n4/12420ijnsa01.html

Original Source URL: https://aircconline.com/ijnsa/V12N4/12420ijnsa01.pdf

Volume URL: https://airccse.org/journal/jnsa20_current.html