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Malware Detection

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Papers tagged with "Malware Detection"

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Vol 12, Issue 4 (April 2026) Cyber Security

Cyber Threat Intelligence System Using CNN-LSTM Deep Learning Model

Cyber Threat IntelligenceThe Rapid Evolution Of Cyber Threats, Including Malware, Phishing Attacks, Distributed Denial Of Service (DDoS), And Advanced Persistent Threats, Has Made Traditional Security Mechanisms Less Effective. Conventional...

Sai Santhosh A, Pravinkumar P, Rishikesh GC, Raghavan B

Android Malware Detection Using Multi-Domain Feature Analysis And Deep Learning Models

We Propose A Hybrid And Intelligent Android Malware Detection Framework That Integrates Multi-domain Feature Extraction With Deep Learning Models To Improve Mobile Application Security. The System Consists Of Two Key Modules: The APK Securi...

Sharon R, Janapriya S, Nishmitha R, Prof.Mrs.Ramya R
Vol 11, Issue 3 (March 2025) CSE

Intelligent Malware Detection And Classification Using Correlation-based Feature Selection

Android Is The Most Popular Operating System For Smartphones And Small Devices With 86.6% Market Share. Its Open-source Nature Makes It More Prone To Attacks Creating A Need For Malware Analysis. Main Approaches For Detecting Malware Intent...

Soumya Singhai, Prateek Gupta, Nagendra Kumar
Vol 11, Issue 1 (January 2025) Information Science And Engineering

AI BASED CYBER DEFENCE SYSTEM

With The Increasing Complexity And Volume Of Cyber Threats, Traditional Cybersecurity Systems Are Struggling To Keep Up With The Pace Of Emerging Attacks. This Paper Proposes An Artificial Intelligence (AI)-based Cybersecurity System Design...

Dr Vidya K, Karthik K, Charchit Yadav, Abdul Naieem, Shashidhar Reddy
Vol 9, Issue 3 (March 2023) Computer Science And Engineering

ANDROID MALWARE DETECTION USING MACHINE LEARNING

The Rapid Increase In The Number Of Mobile Devices, Particularly Android Smartphones, Has Led To A Surge In Malware Attacks Targeting These Devices. To Combat This Growing Threat, Various Methods Have Been Developed, Including Machine Learn...

Praison Solomon V, Venkadesh R, Vignesh K | Pugazhendhi N, Saranya V | Rajagopal T K P
Vol 7, Issue 7 (July 2021) Computer Applications

MACHINE LEARNING IN CYBER SECURITY

Within The Ever-growing And Quickly Increasing Field Of Cyber Security, It Is Nearly Impossible To Quantify Or Justify The Explanations Why Cyber Security Has Such An Outsized Impact.The Development Of Effective Techniques Has Been An Urgen...

Akriti Saxena
Vol 6, Issue 6 (June 2020) Android

STUDY OF DETECTING ANDROID MALWARE USING AN IMPROVED FILTER BASED TECHNIQUE IN EMBEDDED SOFTWARE

The Technological Advancements Have Led To Evolution Of Sophisticated Devices Called Smartphones. By Providing Extensive Capabilities, They Are Becoming More And More Popular. The Android Based Smart-phones Are Preferred Furthermore, Due To...

Amol L. Deokate, Yogesh A. Pawar
Vol 5, Issue 9 (September 2019) Engineering

A Realistic Approach to Detect Malware using Binary Analysis and Machine Learning

Malware Is A Computer Program That Is Aimed To Breach Computers Without Owner’s Authorization. Bulk Of Malwares Are Increasing Every Year. Antivirus Providing Companies Are Receiving Millions Of Malwares Daily, So Discovery Of Malwares Is D...

Amit Sahu, Prachi Parwar, Deepak Agrawal
Vol 5, Issue 9 (September 2019) Engineering

An Analysis to Detect Malware using Machine Learning

In Recent Times, Malware Has Progressively Turn Out To Be A Dangerous Threat To Computer Systems And Mobile Devices While Traditional Software Inventions Like Antivirus And Malware Have Not Been So Effective In Protecting From The Ever-e...

Amit Sahu, Prachi Parwar, Deepak Agrawal
Vol 4, Issue 9 (September 2018) CSE

A REVIEW PAPER ON ANDROID MALWARES: ANALYSIS, DETECTION AND SECURITY

Today, Android OS Powers About Hundreds Of Millions Of People Who Are Over Smart Phones Covering 190 Countries As Suggested By Official Android Market. This Makes Android The Best Medium To Bridge People But The Same Bridge May Even Lead To...

Ketaki A. Pattani, Prof. B. V. Buddhadev
Vol 4, Issue 6 (June 2018) CSE

MALWARE FRAUD DETECTION IN WEB APPLICATION USING CONTENT INTEGRITY VERIFICATION

Fraudulent Behaviors In Google Play, The Most Popular Android App Market, Fuel Search Rank Abuse And Malware Proliferation. To Identify Malware, Previous Work Has Focused On App Executable And Permission Analysis. In This Paper, We Introduc...

Pasupuleti Vinod, P. Nageswara Rao, Bullarao Domathoti
Vol 4, Issue 3 (March 2018) CSE/Information Technology

SEARCH RANK FRAUD AND MALWARE DETECTION IN GOOGLE PLAY

In This Paper, We Introduce FairPlay, A Novel System That Discovers And Leverages Traces Left Behind By Fraudsters, To Detect Both Malware And Apps Subjected To Search Rank Fraud. FairPlay Coordinates Review Activities And Uniquely Combines...

B. Sudheer Kumar, Y VenkataRamesh, Dr.Y.Jahnavi
Vol 4, Issue 1 (January 2018) CSE

A SURVEY ON MALWARE DETECTION METHODS AND MALWARE DETECTION TECHNOLOGIES

The Usage Of Internet And Cloud Computing Is Widely Increasing Day-to-day. The Cloud Services Are Widely Needed In Every Sector Of The Business And Education. It Is Creating A Huge Need Of Virtual Infrastructure Which Provides The Actual Cl...

Dayakar Suddala, Dr.K.Butchi Raju
Vol 3, Issue 9 (September 2017) Computer Science & Engineering

MALWARE DETECTION IN ANDROID SYSTEM

With The Advent Of The Digital Age Smartphones Have Become A Necessity For Our Life. Smartphones Are Not Only Used To Communicate With Each Other But Also Used For Banking, Payment Etc. They Also Contain A Lot Of Sensitive Data Such As Our...

Sapna Malik
Vol 2, Issue 5 (May 2016) Android Security

MALWARE APPLICATION DETECTION SYSTEM FOR ANDROID

In This Paper We Present Permission As Well As String Based Anomaly Detection System For Detecting Meaningful Deviation In A Mobile Application's Network Behavior. The Main Goal Of Proposed System Is To Protect Mobile Device Users And A...

Dhananjay Gandole, Vikram Ghule, Mahesh Garje, Prof. P.P.Nimbalkar

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