ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android

ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografski detalji
Glavni autori:	Ahmed, Md Faisal, Biash, Zarin Tasnim, Shakil, Abu Raihan, Ryen, Ahmed Ann Noor, Hossain, Arman
Daljnji autori:	Hossain, Muhammad Iqbal
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2021
Teme:	Malware analysis Cyber-security Malware detection Real-time analysis Android application Neural network Computer security Malware (Computer software) Machine learning Application software > Development Mobile computing
Online pristup:	http://hdl.handle.net/10361/15550

Similar Items

Malware detection in blockchain using CNN
od: Alam, Afreen, i dr.
Izdano: (2021)

A study of malware classification using deep learning
od: Rahman, Mohammad Muhibur, i dr.
Izdano: (2024)

Analysis of malware prediction based on infection rate using machine learning techniques
od: Zawad, Safir, i dr.
Izdano: (2020)

Malware Detection Using Neural Network
od: Kayum, Syed Irfan, i dr.
Izdano: (2021)

Analysing Facebook user risk using machine learning algorithm
od: Barua, Arnab, i dr.
Izdano: (2021)

Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city
od: Aziz, Md. Yasin, i dr.
Izdano: (2021)

Performance analysis of machine learning classi ers for detecting PE malware
od: Azmee, ABM.Adnan, i dr.
Izdano: (2020)

Android for programmers : an App-driven approach /
Izdano: (2012)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
od: Rahman, Tahsinur, i dr.
Izdano: (2023)

Performance analysis of machine learning algorithms for Malware classification
od: Bushra, Raisa Hasan, i dr.
Izdano: (2023)

Analysis of cybersecurity threats to financial and accounting data: implications for organizational risk management
od: Sadiq, Sadavi
Izdano: (2024)

Smart security system based on frontal face detection method and android mobile
od: Khan, Mahjabeen
Izdano: (2017)

Role of cyber security in ensuring safety and security of data in financial institutions
od: Zamee, Zahin Shahriar
Izdano: (2024)

Android programming for beginners : learn all the Java and Android skills you need to start making powerful mobile applications /
od: Horton, John
Izdano: (2015)

Official (ISC)2 guide to the CSSLP /
od: Paul, Mano
Izdano: (2011)

Kotlin for Android developers : learn Kotlin the easy way while developing an Android App /
od: Leiva, Antonio
Izdano: (2017)

An advanced healthcare android application with machine learning
od: Ridwan, Naeeb MD, i dr.
Izdano: (2018)

Cyber threats and scams in FinTech organizations: a brief overview of financial fraud cases, future challenges, and recommended solutions in Bangladesh
od: Hossain, Md. Jafrin, i dr.
Izdano: (2023)

Controlling android device with eye tracking
od: Hasan, Sakib, i dr.
Izdano: (2017)

Android Malware
od: Jiang
Izdano: (2013)

Smart public transportation system in the prospective of Bangladesh using android application and RFID technology
od: Uddin, Mohammed Adnan, i dr.
Izdano: (2017)

Data mining tools for malware detection /
od: Masud, Mehedy
Izdano: (2012)

Towards a cross platform solution to share small-scale data across smart devices using visible light: a prototype developed in android environment
od: Fairooz, Faizah, i dr.
Izdano: (2018)

Head first Android development : a brain-friendly guide /
od: Griffiths, Dawn, i dr.
Izdano: (2017)

Development of mobile learning system based on android app
od: Samrin, Sama, i dr.
Izdano: (2018)

Bangla character recognition for Android devices
od: Manzur, Shahrin, i dr.
Izdano: (2016)

Android platform to find blood donors and predicting most suitable donors
od: Ahmed, Nakib, i dr.
Izdano: (2018)

Android-based smart voting system
od: Mahmood, Tawseef, i dr.
Izdano: (2016)

Implementing the IBM Rational Unified Process and solutions : a guide to improving your software development capability and maturity /
od: Barnes, Joshua
Izdano: (2010)

IoT smart meter for electricity consumers
od: Wali-ur- Rahman, Md., i dr.
Izdano: (2019)

Opportunities and challenges of software development business in Bangladesh
od: Dores, Bishal Peter
Izdano: (2018)

Pattern-oriented software architecture : on patterns and pattern languages /
od: Buschmann, Frank
Izdano: (2007)

Analyzing user data privacy in android mobile OS
od: Miah, Abdul Momen, i dr.
Izdano: (2023)

Automated feedback test generation and functionality testing for UI development with self-guided recommendation
od: Hasan, Md.Tanvir, i dr.
Izdano: (2023)

Synergizing IoT and digital twin technology for revitalizing the ready made garments industry’s supply chain through simulation and modeling
od: Mridha, Mohammad Tuhin
Izdano: (2024)

A machine learning based approach for DDos attack detection
od: Tahrim, Tasmiah, i dr.
Izdano: (2024)

The rational unified process : an introduction /
od: Kruchten, Philippe
Izdano: (2004)

Agility and discipline made easy : practices from OpenUP and RUP /
od: Kroll, Per
Izdano: (2006)

Software testing foundations : a study guide for the certified tester exam : foundation level, ISTQB compliant /
od: Spillner, Andreas
Izdano: (2011)

Towards a cross platform solution to share small scale data across smart–devices using audio waves: a prototype development in android environment
od: Hasan, S. M. Ferdous, i dr.
Izdano: (2018)