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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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...