Results 31 to 40 of about 3,386 (193)

Defending against OS-Level Malware in Mobile Devices via Real-Time Malware Detection and Storage Restoration

, 2022
Combating the OS-level malware is a very challenging problem as this type of malware can compromise the operating system, obtaining the kernel privilege and subverting almost all the existing anti-malware tools.
Niusen Chen, Bo Chen
core   +1 more source

An epidemic model for the investigation of multi‐malware attack in wireless sensor network

IET Communications, 2023
The protection of wireless sensor networks (WSN) against malware attacks is crucial. The paper discusses the issue of malware attacks in WSN, which are commonly used for monitoring and surveillance in various applications.
Shashank Awasthi, Pramod Kumar Srivastava, Naresh Kumar, Rudra Pratap Ojha, Purnendu Shekhar Pandey, Rajesh Singh, Anita Gehlot, Neeraj Priyadarshi, Rituraj Jain, Yohannes Bekuma Bakare   +9 more
doaj   +1 more source

Combined dynamic multi-feature and rule-based behavior for accurate malware detection

International Journal of Distributed Sensor Networks, 2019
Malware have become the scourge of the century, as they are continuously evolving and becoming more complex with increasing damages. Therefore, an adequate protection against such threats is vital.
Mohamed Belaoued, Abdelaziz Boukellal, Mohamed Amir Koalal, Abdelouahid Derhab, Smaine Mazouzi, Farrukh Aslam Khan   +5 more
doaj   +1 more source

A Survey on Mobile Malware Detection Techniques

, 2020
Modern mobile devices are equipped with a variety of tools and services, and handle increasing amounts of sensitive information. In the same trend, the number of vulnerabilities exploiting mobile devices are also augmented on a daily basis and ...
KOULIARIDIS Vasileios, CHEN Shuhong, KAMPOURAKIS Georgios, BARMPATSALOU Konstantia   +3 more
core   +1 more source

MalGEA: A malware analysis framework via matrix factorization based node embedding and graph external attention

Array
As one of the major threats in cybersecurity, malware has been growing continuously and steadily. In recent years, researchers have proposed a number of graph representation learning based malware detection methods by leveraging the intrinsic topological
Ruisheng Li, Qilong Zhang, Huimin Shen
doaj   +1 more source

Deep-Layer Clustering to Identify Permission Usage Patterns of Android App Categories

IEEE Access, 2022
With the increasing usage of smartphones in banks, medical services and m-commerce, and the uploading of applications from unofficial sources, security has become a major concern for smartphone users. Malicious apps can steal passwords, leak details, and
Zakeya Namrud, Segla Kpodjedo, Ahmed Bali, Chamseddine Talhi   +3 more
doaj   +1 more source

MalHyStack: A hybrid stacked ensemble learning framework with feature engineering schemes for obfuscated malware analysis

Intelligent Systems with Applications, 2023
Since the advent of malware, it has reached a toll in this world that exchanges billions of data daily. Millions of people are victims of it, and the numbers are not decreasing as the year goes by.
Kowshik Sankar Roy, Tanim Ahmed, Pritom Biswas Udas, Md. Ebtidaul Karim, Sourav Majumdar   +4 more
doaj   +1 more source

Sustainability Challenges to the Steel Industry in a Developing Country: Sanctions and Security Issues at the Forefront

Business Strategy and the Environment, EarlyView.
ABSTRACT This article contributes to sustainability research by investigating the complex, geopolitically induced challenges faced by industrial supply chains under international sanctions. Using Iran's steel industry as a case, it examines sustainability barriers through the lens of stakeholder theory. A mixed methods approach was employed.
Seyed Hamed Moosavirad, Mohammad Moshtari, Ali Esfahbodi   +2 more
wiley   +1 more source

Evaluation of Machine Learning Algorithms for Malware Detection

, 2023
This research study mainly focused on the dynamic malware detection. Malware progressively changes, leading to the use of dynamic malware detection techniques in this research study. Each day brings a new influx of malicious software programmes that pose
Muhammad Shoaib Akhtar, Tao Feng, Akhtar, Muhammad Shoaib, Feng, Tao   +3 more
core   +1 more source

Harnessing GPT-2 for Feature Extraction in Malware Detection: A Novel Approach to Cybersecurity

Land Forces Academy Review
Abstract In the rapidly advancing digital age, the surge in malware complexity presents a formidable challenge to cybersecurity efforts, rendering traditional signature-based detection methods increasingly obsolete. These methods struggle to keep pace with the swift evolution of malware, particularly with the emergence of polymorphic ...
Mahmoud Basharat, Marwan Omar
openaire   +1 more source