Reducing False Notification in Identifying Malicious Application Programming Interface(API) to Detect Malwares Using Artificial Neural Network with Discriminant Analysis

Reducing False Notification in Identifying Malicious Application Programming Interface(API) to Detect Malwares Using Artificial Neural Network with Discriminant Analysis

This paper argues the accuracy of behavior based detection systems, in which the Application Programming Interfaces (API) calls are analyzed and monitored. The work identifies the problems that affecting the accuracy of such detection models. The work was extracted (4744) API call through analyzin...

Full description

Bibliographic Details
Main Authors:	Abbas M. Al-Bakri, Hussein L. Hussein
Format:	Article
Language:	English
Published:	University of Baghdad 2017-04-01
Series:	Ibn Al-Haitham Journal for Pure and Applied Sciences
Subjects:	PE Malwares, Malicious API, ANN, Discriminant Analysis
Online Access:	https://jih.uobaghdad.edu.iq/index.php/j/article/view/320

Similar Items

Malicious Behavior Detection Method Using API Sequence in Binary Execution Path
by: Jihun Kim, et al.
Published: (2021-01-01)

A Malicious Program Behavior Detection Model Based on API Call Sequences
by: Nige Li, et al.
Published: (2024-03-01)

Detection of Obfuscated Malicious JavaScript Code
by: Ammar Alazab, et al.
Published: (2022-07-01)

Classifying Malicious Documents on the Basis of Plain-Text Features: Problem, Solution, and Experiences
by: Jiwon Hong, et al.
Published: (2022-04-01)

Dynamic Malware Classification and API Categorisation of Windows Portable Executable Files Using Machine Learning
by: Durre Zehra Syeda, et al.
Published: (2024-01-01)

Android Malware Detection Based on API Pairing
Published: (2020-10-01)

Features Engineering for Malware Family Classification Based API Call
by: Ammar Yahya Daeef, et al.
Published: (2022-11-01)

Malware detection based on visualization of recombined API instruction sequence
by: Hongyu Yang, et al.
Published: (2022-12-01)

Malware API Calls Detection Using Hybrid Logistic Regression and RNN Model
by: Abdulaziz Almaleh, et al.
Published: (2023-04-01)

Malware Visualization and Similarity via Tracking Binary Execution Path
by: Jihun Kim, et al.
Published: (2022-01-01)

System API Vectorization for Malware Detection
by: Kyounga Shin, et al.
Published: (2023-01-01)

Lightweight and Robust Malware Detection Using Dictionaries of API Calls
by: Ammar Yahya Daeef, et al.
Published: (2023-11-01)

Dynamic Malware Analysis Based on API Sequence Semantic Fusion
by: Sanfeng Zhang, et al.
Published: (2023-05-01)

Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation
by: Farhan Ullah, et al.
Published: (2022-09-01)

MALICIOUS WEB LINKS DETECTION - A COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS
by: Claudia-Ioana COSTE
Published: (2023-07-01)

The Performance Analysis of Malware Attack
by: Nur Khairani Kamarudin, et al.
Published: (2018-11-01)

Channel Features and API Frequency-Based Transformer Model for Malware Identification
by: Liping Qian, et al.
Published: (2024-01-01)

Automatic Malicious Code Classification System through Static Analysis Using Machine Learning
by: Sungjoong Kim, et al.
Published: (2020-12-01)

Evaluation of Machine Learning Algorithms for Malware Detection
by: Muhammad Shoaib Akhtar, et al.
Published: (2023-01-01)

Rapidrift: Elementary Techniques to Improve Machine Learning-Based Malware Detection
by: Abishek Manikandaraja, et al.
Published: (2023-09-01)

Analyzing and comparing the effectiveness of malware detection: A study of machine learning approaches
by: Muhammad Azeem, et al.
Published: (2024-01-01)

Leveraging Adversarial Samples for Enhanced Classification of Malicious and Evasive PDF Files
by: Fouad Trad, et al.
Published: (2023-03-01)

Similarity-Based Hybrid Malware Detection Model Using API Calls
by: Asma A. Alhashmi, et al.
Published: (2023-06-01)

Hfinger: Malware HTTP Request Fingerprinting
by: Piotr Białczak, et al.
Published: (2021-04-01)

Explainable Ensemble Learning Based Detection of Evasive Malicious PDF Documents
by: Suleiman Y. Yerima, et al.
Published: (2023-07-01)

Comparing Deep Learning and Shallow Learning Techniques for API Calls Malware Prediction: A Study
by: Angelo Cannarile, et al.
Published: (2022-02-01)

An Efficient Malware Detection Approach for Malicious Android Application
by: MADIHA AMJAD HUSSAIN, et al.
Published: (2022-04-01)

TTDAT: Two-Step Training Dual Attention Transformer for Malware Classification Based on API Call Sequences
by: Peng Wang, et al.
Published: (2023-12-01)

A Novel Neural Network Architecture Using Automated Correlated Feature Layer to Detect Android Malware Applications
by: Amerah Alabrah
Published: (2023-10-01)

Malware analyst's cookbook and DVD : tools and techniques for fighting malicious code /
by: Ligh, Michael Hale
Published: (c201)

Malicious JavaScript Detection Based on Bidirectional LSTM Model
by: Xuyan Song, et al.
Published: (2020-05-01)

Detection of Malware by Deep Learning as CNN-LSTM Machine Learning Techniques in Real Time
by: Muhammad Shoaib Akhtar, et al.
Published: (2022-11-01)

Android Malware Family Classification and Analysis: Current Status and Future Directions
by: Fahad Alswaina, et al.
Published: (2020-06-01)

Features Engineering to Differentiate between Malware and Legitimate Software
by: Ammar Yahya Daeef, et al.
Published: (2023-02-01)

Malware analyst's cookbook and DVD [electronic resource] : tools and techniques for fighting malicious code /
by: Ligh, Michael Hale
Published: (c201)

Windows malware detection based on static analysis with multiple features
by: Muhammad Irfan Yousuf, et al.
Published: (2023-04-01)

Adversarial Malicious Encrypted Traffic Detection Based on Refined Session Analysis
by: Minghui Li, et al.
Published: (2022-11-01)

Entropy Based Method for Malicious File Detection
by: Muhammad Edzuan Zainodin, et al.
Published: (2022-12-01)

Natural language based malicious domain detection using machine learning and deep learning
by: Abdul Samad Saleem Raja, et al.
Published: (2023-04-01)

Android Malware Detection Method Based on Behavior Pattern
by: YANG Jiyun, FAN Jiawen, ZHOU Jie, GAO Lingyun
Published: (2022-08-01)