Bio-Inspired Computational Paradigm for Feature Investigation and Malware Detection: Interactive Analytics
Recently, people rely on mobile devices to conduct their daily fundamental activities. Simultaneously, most of the people prefer devices with Android operating system. As the demand expands, deceitful authors develop malware to compromise Android for private and money purposes. Consequently, securit...
| Main Authors: | Ahmad, Firdaus, Nor Badrul, Anuar, Mohd Faizal, Ab Razak, Sangaiah, Arun Kumar |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Springer US
2017
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/17481/ http://umpir.ump.edu.my/id/eprint/17481/1/Bio-inspired%20computational%20paradigm%20for%20feature%20investigation%20and%20malware%20detection-%20interactive%20analytics.pdf http://umpir.ump.edu.my/id/eprint/17481/12/Bio-inspired%20computational%20paradigm%20for%20feature%20investigation%20and%20malware%20detection-%20interactive%20analytics%201.pdf |
Similar Items
Bio-inspired for Features Optimization and Malware Detection
by: Mohd Faizal, Ab Razak, et al.
Published: (2018)
by: Mohd Faizal, Ab Razak, et al.
Published: (2018)
The Rise of “malware”: Bibliometric Analysis of Malware Study
by: Mohd Faizal, Ab Razak, et al.
Published: (2016)
by: Mohd Faizal, Ab Razak, et al.
Published: (2016)
Discovering optimal features using static analysis and a genetic search based method for Android malware detection
by: Ahmad Firdaus, Zainal Abidin, et al.
Published: (2018)
by: Ahmad Firdaus, Zainal Abidin, et al.
Published: (2018)
Features, Analysis Techniques, and Detection Methods of Cryptojacking Malware: A Survey
by: Kadhum, Laith M., et al.
Published: (2024)
by: Kadhum, Laith M., et al.
Published: (2024)
Automated feature selection using boruta algorithm to detect mobile malware
by: Che Akmal, Che Yahaya, et al.
Published: (2020)
by: Che Akmal, Che Yahaya, et al.
Published: (2020)
Multi-Tiered Bio-Inspired Self-Healing Architectural
Paradigm for Software Systems
by: Azween, Abdullah, et al.
Published: (2009)
by: Azween, Abdullah, et al.
Published: (2009)
Multi-tiered bio-inspired self-healing architectural
paradigm for software systems
by: Azween Abdullah,, et al.
Published: (2009)
by: Azween Abdullah,, et al.
Published: (2009)
Malware Analysis with Multiple Features
by: Ahmad Zabidi, Muhammad Najmi, et al.
Published: (2012)
by: Ahmad Zabidi, Muhammad Najmi, et al.
Published: (2012)
Root exploit detection and features optimization: Mobile device and blockchain based medical data management
by: Ahmad Firdaus, Zainal Abidin, et al.
Published: (2018)
by: Ahmad Firdaus, Zainal Abidin, et al.
Published: (2018)
Android malware detection with ensemble of androidmanifest features
by: Mohammad Salehi, .
Published: (2019)
by: Mohammad Salehi, .
Published: (2019)
Applying Bayesian probability for Android malware detection using permission features
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
Evaluation of feature selection algorithm for android malware detection
by: Mazlan, Nurul Hidayah, et al.
Published: (2018)
by: Mazlan, Nurul Hidayah, et al.
Published: (2018)
A bio-inspired computational language for kinesin nanomotor
by: Gavgani, Hamidreza Khataee, et al.
Published: (2012)
by: Gavgani, Hamidreza Khataee, et al.
Published: (2012)
Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation)
by: Rosmalissa, Jusoh, et al.
Published: (2021)
by: Rosmalissa, Jusoh, et al.
Published: (2021)
Structural features with nonnegative matrix factorization for metamorphic malware detection
by: Yeong, Tyng Ling, et al.
Published: (2021)
by: Yeong, Tyng Ling, et al.
Published: (2021)
A malware risk analysis and detection system for mobile devices using permission-based features / Mohd Faizal Ab Razak
by: Mohd Faizal , Ab Razak
Published: (2018)
by: Mohd Faizal , Ab Razak
Published: (2018)
Cognitive bio-inspiration
by: Baharuddin, Nasir
Published: (2013)
by: Baharuddin, Nasir
Published: (2013)
Insects as bio-inspiration
by: Qamaruz Zaman, Faridah, et al.
Published: (2013)
by: Qamaruz Zaman, Faridah, et al.
Published: (2013)
Investigation of bypassing malware defences and malware detections
by: Daryabar, Farid, et al.
Published: (2011)
by: Daryabar, Farid, et al.
Published: (2011)
A behaviour-based analytical malware detection framework for android smartphones
by: Damshenas, Mohsen
Published: (2014)
by: Damshenas, Mohsen
Published: (2014)
Efficient feature selection analysis for accuracy malware classification
by: Rahiwan Nazar, Romli, et al.
Published: (2021)
by: Rahiwan Nazar, Romli, et al.
Published: (2021)
Bio-inspired computation: Recent development on the modifications of the cuckoo search algorithm
by: Haruna, Chiroma, et al.
Published: (2017)
by: Haruna, Chiroma, et al.
Published: (2017)
Mobile malware anomaly-based detection systems using static analysis features / Ahmad Firdaus Zainal Abidin
by: Ahmad Firdaus, Zainal Abidin
Published: (2017)
by: Ahmad Firdaus, Zainal Abidin
Published: (2017)
Android mobile malware detection using Fuzzy AHP
by: Juliza, Mohamad Arif, et al.
Published: (2021)
by: Juliza, Mohamad Arif, et al.
Published: (2021)
Bio-Inspired Hardware Using FPGAs
by: Ortega-Sanchez, Cesar
Published: (2005)
by: Ortega-Sanchez, Cesar
Published: (2005)
Confident computing - a new paradigm for interactions on the web and internet
by: Chang, Elizabeth
Published: (2007)
by: Chang, Elizabeth
Published: (2007)
A review : Static analysis of android malware and detection technique
by: Juliza, Mohamad Arif, et al.
Published: (2021)
by: Juliza, Mohamad Arif, et al.
Published: (2021)
Malware visualizer: A web apps malware family classification with machine learning
by: Mohd Zamri, Osman, et al.
Published: (2021)
by: Mohd Zamri, Osman, et al.
Published: (2021)
Deep learning based hybrid analysis of malware detection and classification: A recent review
by: Hussain, Syed Shuja, et al.
Published: (2023)
by: Hussain, Syed Shuja, et al.
Published: (2023)
Malware analysis performance enhancement using cloud computing
by: Barakat, Osamah Lutf Hamood, et al.
Published: (2014)
by: Barakat, Osamah Lutf Hamood, et al.
Published: (2014)
A Bayesian probability model for Android malware detection
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
Android mobile malware detection system using fuzzy AHP
by: Juliza, Mohamad Arif, et al.
Published: (2021)
by: Juliza, Mohamad Arif, et al.
Published: (2021)
Malware detection system using cloud sandbox, machine learning
by: Mail, Mohd Azuwan Efendy, et al.
Published: (2022)
by: Mail, Mohd Azuwan Efendy, et al.
Published: (2022)
Fuzzy analytical hierarchy process based risk assessment for malware detection in android mobile system
by: Juliza, Mohamad Arif
Published: (2022)
by: Juliza, Mohamad Arif
Published: (2022)
Android mobile malware detection model based on permission features using machine learning approach
by: Sharfah Ratibah, Tuan Mat
Published: (2022)
by: Sharfah Ratibah, Tuan Mat
Published: (2022)
Metamorphic malware detection using structural features and nonnegative matrix factorization with hidden markov model
by: Ling, Yeong Tyng, et al.
Published: (2021)
by: Ling, Yeong Tyng, et al.
Published: (2021)
Design and Implementation of Bio-inspired Underwater Electrosense
by: Wang, Ke
Published: (2017)
by: Wang, Ke
Published: (2017)
Enhanced cuckoo malware analysis performance using cloud computing
by: Barakat, Osamah Lutf Hamood
Published: (2013)
by: Barakat, Osamah Lutf Hamood
Published: (2013)
A static analysis approach for android permission-based malware detection systems
by: Juliza, Mohamad Arif, et al.
Published: (2021)
by: Juliza, Mohamad Arif, et al.
Published: (2021)
Challenges in high accuracy of malware detection
by: Ahmad Zabidi, Muhammad Najmi, et al.
Published: (2012)
by: Ahmad Zabidi, Muhammad Najmi, et al.
Published: (2012)
Similar Items
-
Bio-inspired for Features Optimization and Malware Detection
by: Mohd Faizal, Ab Razak, et al.
Published: (2018) -
The Rise of “malware”: Bibliometric Analysis of Malware Study
by: Mohd Faizal, Ab Razak, et al.
Published: (2016) -
Discovering optimal features using static analysis and a genetic search based method for Android malware detection
by: Ahmad Firdaus, Zainal Abidin, et al.
Published: (2018) -
Features, Analysis Techniques, and Detection Methods of Cryptojacking Malware: A Survey
by: Kadhum, Laith M., et al.
Published: (2024) -
Automated feature selection using boruta algorithm to detect mobile malware
by: Che Akmal, Che Yahaya, et al.
Published: (2020)