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Kdd

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Papers tagged with "Kdd"

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Vol 12, Issue 5 (May 2026) Computer Cyber Security

REAL –TIME AI INTRUSION DETECTION SYSTEM USING MACHINE LEARNING

The Relentless Escalation Of Cyber Threats In Contemporary Network Environments Has Necessitated A Fundamental Rethinking Of Intrusion Detection Methodologies. Traditional Signature-based Systems, While Once Sufficient, Have Proven Structur...

Silambarasan B, Sarveswaran S, Sharan S.P, Pradeep N, Ravindra krishna chandar V
Vol 7, Issue 9 (September 2021) Computer Science & Engineering

ENHANCING THE EFFICIENCY OF DETECTING INTRUSIONS USING HDEGMM ALGORITHM

Network Safety Was One Of The Greatest Computer Network Management Problems, And Security Threats Became The Most Widely Publicized. Intrusion Prevention Has Been A Significant Area Of Network Security Over Recent Years. When Each Attack Cl...

Mahipal Singh Yadav, Dr. Nirupma Tiwari
Vol 7, Issue 3 (March 2021) Computer Engineering

A SMART SURVEY ON INTRUSION ATTACK DETECTION SYSTEM

Close By With Computerized Marks And Cryptographic Conventions, Intrusion Attack Detection Systems (IADS) Are Decided To Be The Last Shape Of Assurance To Ensure A Framework. In Any Case, The Significant Trouble With The Present Principally...

Ms. Marmita Solanki, Prof. Nimesh Patel
Vol 7, Issue 2 (February 2021) Computer Science & Engineering

ENHANCING THE EFFICIENCY OF DETECTING INTRUSIONS USING HDEGMM ALGORITHM

Network Safety Was One Of The Greatest Computer Network Management Problems, And Security Threats Became The Most Widely Publicized. Intrusion Prevention Has Been A Significant Area Of Network Security Over Recent Years. When Each Attack Cl...

Devendra Baghel, Dr. Nirupma Tiwari
Vol 6, Issue 6 (June 2020) Computer Science

AN EFFICIENT METHODOLOGY FOR MINING UTILITY ITEMS FROM LARGE DATA SETS

Data Mining, Also Known As Knowledge Exploration In Database, Is One Of The New Research Areas That Have Arisen As A Response To The Tsunami Data Or Data Flood That The Planet Is Now Facing. Developing Techniques Which Can Help Humans Disco...

Sonali Pawar, Prof. Hemant Gupta
Vol 6, Issue 4 (April 2020) Computer Science & Engineering

NETWORK INTRUSION DETECTION SYSTEM BASED ON MACHINE LEARNING

Recently, It Has Become Important To Use Advanced Intrusion Detection Techniques To Protect Network From The Developing Network Attacks, Which Are Becoming More Complex And Difficult To Detect. For This Reason, Machine Learning Technique...

Farhana, Bharath Raju, Adarsh SN
Vol 5, Issue 7 (July 2019) Computer Science

DATA MINING FOR WEB VULNERABILITY DETECTION

Developing Software Applications That Are Free Of Vulnerabilities Is A Necessity, Especially If These Applications Are Intended To Operate Over The World Wide Web. Web Applications Security Is A Major Concern For Different Organizations And...

Vaibhavi Sakurkar, Neha Khare
Vol 5, Issue 7 (July 2019) Computer Science

A REVIEW OF WEB VULNERABILITY

Web Application Security Is A Noteworthy Concern In The Present Era For Different Organizations And Banking Sectors. The Vast Majority Of The Organizations And Banking Sectors Who Use Web To Give Electronic Administrations That Protect Thei...

Vaibhavi Sakurkar, Neha Khare
Vol 5, Issue 3 (March 2019) Computer Science And Engineering

NETWORK INTRUSION DETECTION USING HYBRID NB ALGORITHM ON NSL-KDD DATASET

As The Communication Industry Has Connected Distant Corners Of The Globe Using Advances In Network Technology, Intruders Or Attackers Have Also Increased Attacks On Networking Infrastructure Commensurately. System Administrators Can Attempt...

Asmitha Shree R, Nivedha S, KishoorKumar M, KaranBabu B | Naveen V
Vol 4, Issue 7 (July 2018) CSE

AN ANALYSIS ON DENGUE INFECTION USING ASSOCIATION RULE MINING

In This Research Work, The Experimental Analysis Is Done To Check The Quality Of The Steam By Using Al2O3, Water Based Nanofluid With Separating And Throttling Calorimeter. Since Nanofluids Are Shown The Capability Of Transmitting Heat More...

Tanvi upadhyay, Prof.Sushil Chaturvedi
Vol 4, Issue 4 (April 2018) Computer Science

COMPARISON OF CLASSIFICATION TECHNIQUES USING MUSHROOM DATASET

Data Mining Is A Process Of Extracting Information From Datasets And It Converts Into Useful Information To Make Knowledge It Extracts The Hidden Data That Enhances The Knowledge. It Also Referred As KDD (Knowledge Discovery In Databases) V...

Ameer Rashed Khan , Rajeswari, Dr.S.Shajun Nisha
Vol 3, Issue 12 (December 2017) Information Technology

EARLY PREDICTION OF ENGINEERING STUDENTS’ PERFORMANCE IN UNIVERSITY EXAMINATION USING DATA MINING

Data Mining Area Is Very Useful In Discovering Knowledge, Also Refers To Extracting Useful Information From Large Volume Of Data. Data Mining Techniques Are Operate On Huge Amount Of Data To Discover Useful Patterns And Also Useful In Decis...

Dr. Dineshkumar B. Vaghela
Vol 3, Issue 7 (July 2017) E&TC

Support vector machine based Intrusion Detection System with Hybrid Swarm intelligence

Intrusion Detection System (IDS) Takes An Important Role In Network Security As It Detects Various Types Of Attacks In The Network. Swarm Intelligence And Machine Learning Techniques (SVM) Were Used To Build Different Intrusion Detectio...

Mrs. Charusheela P. Kamble, Prof. Mrs. D.P. Adhyapak
Vol 2, Issue 4 (April 2016) Networking

POTENTIATE THE DETECTION-RATE OF NETWORK INTRUSION DETECTION USING ADABOOST ALGORITHM

Network Intrusion Detection Aims At Differentiate The Intrusions On The Internet From Normal Use Of Internet And Is An Essential Part Of The Information Security System. Network Consists Of Nodes Whose Operation Can Be Controlled By Und...

Ankita Chowdhury, Rupali Bhanuse, Shradha Birajdar, Devendra Ghorsad

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