Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS
PaperId: :  20373
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20373
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
N Vishal Krishna BhatDayananda Sagar Academy of Technology & Management
Lekhan HYDayananda Sagar Academy of Technology & Management
N PravalikaDayananda Sagar Academy of Technology & Management
Rakshitha MDayananda Sagar Academy of Technology & Management
Rama AbiramiDayananda Sagar Academy of Technology & Management

Abstract

Cybersecurity
Black lists, NIDS, HIDS, malicious, vulnerabilities, SVM’s, ANN’s, trails
An intrusion detection system (IDS) is a type of security technology that tracks hostile or unauthorized activity on computer networks and systems. An IDS's main objective is to spot potential security gaps, record information about them, and notify security administrators so they may take the necessary action. There are two main types of IDS: network based IDS (NIDS) and host-based IDS (HIDS). While HIDS keeps an eye on each individual host system for odd activity, NIDS watches network traffic for suspicious behavior and spots potential dangers. IDS can be further categorized as signature based or anomaly based, depending on the detection technique used. Anomaly-based IDS employ statistical analysis to find changes from expected network behavior, while signature-based IDS compare known harmful activity patterns with observed network traffic. The employment of IDS, which is frequently used in conjunction with other security measures like firewalls and antivirus software, is essential for defending computer networks from different kinds of cyberattacks. Malt Rail is a harmful traffic detection system that makes use of static-trails generated from various antivirus reports and user-defined custom lists, as well as publicly available (black)lists containing malicious and/or generally suspicious trails. A trail can be anything from a domain name (for example, zvpprsensinaix.com for Banjari malware), URL (for example, hXXp://109.162.38.120/harsh02.exe for known malicious executable), IP address (e.g 185.130.5.231 for known attacker) Additionally, it makes use of (optional) sophisticated heuristic methods that can aid in the discovery of new risks (like malware).

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, and Rama Abirami. "DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 1851-1858
MLA N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, and Rama Abirami. "DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 1851-1858.
APA N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, & Rama Abirami. (2023). DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 1851-1858.
Chicago N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, and Rama Abirami. "DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 1851-1858.
Oxford N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, and Rama Abirami. 'DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 1851-1858. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/DETECT_AND_MITIGATE_INTRUSION_DURING_CYBER_ATTACKS_ijariie20373.pdf (Accessed : ).
Harvard N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, and Rama Abirami. (2023) 'DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 1851-1858IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/DETECT_AND_MITIGATE_INTRUSION_DURING_CYBER_ATTACKS_ijariie20373.pdf (Accessed : )
IEEE N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, and Rama Abirami, "DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 1851-1858, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/DETECT_AND_MITIGATE_INTRUSION_DURING_CYBER_ATTACKS_ijariie20373.pdf [Accessed : ].
Turabian N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, and Rama Abirami. "DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, and Rama Abirami. DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 1851-1858. Available from: https://ijariie.com/AdminUploadPdf/DETECT_AND_MITIGATE_INTRUSION_DURING_CYBER_ATTACKS_ijariie20373.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review of Automated Plant Disease Detection Using Camera-Based Systems for Scalable Farm AutomationComputer EngineeringMohammed Taha Ahmed Download
ENHANCE ETHANOL PURITY WITH TEA POWDER ADSORBTIVE DISTILLATION.Chemical EngineeringKatore Tejas Download
IOT Enabled Smart Helmet For Miners SafetyComputer EngineeringDhruv Verma Download
Deep Learning Based Web Application for Hand Sign RecognitionComputer Engineering Mrs.Sonali Salunkhe Download
WIREFRAME INTERPRETATION AND FRONTEND CODE GENERATIONComputer EngineeringK. Archana Download
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
AI-Enhanced Biosensors for Real-Time Detection of Pathogens Using Nanomaterialsmachine learningFaisal Ahmed Download
Integrating Deep Learning with Nanotechnology for Virus Detectionmachine learningAkash Kumar Download
12