Results 51 to 60 of about 5,558 (210)

Not so Crisp, Malware! Fuzzy Classification of Android Malware Classes

2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2018
Mobile devices have been spreading at great rate in recent years. Not only smartphone, but also tablets and IoT devices, are gaining an increasingly place in our everyday lives. This is the reason why attackers are developing more and more aggressive techniques with the aim to exfiltrate our sensitive and private information.
Mercaldo F., Saracino A.
openaire   +4 more sources

Discriminant malware distance learning on structuralinformation for automated malware classification [PDF]

ACM SIGMETRICS Performance Evaluation Review, 2013
In this work, we explore techniques that can automatically classify malware variants into their corresponding families. Our framework extracts structural information from malware programs as attributed function call graphs, further learns discriminant malware distance metrics, finally adopts an ensemble of classifiers for automated malware ...
Deguang Kong, Guanhua Yan
openaire   +1 more source

On the Limitations of Continual Learning for Malware Classification

CoRR, 2022
Malicious software (malware) classification offers a unique challenge for continual learning (CL) regimes due to the volume of new samples received on a daily basis and the evolution of malware to exploit new vulnerabilities. On a typical day, antivirus vendors receive hundreds of thousands of unique pieces of software, both malicious and benign, and ...
Mohammad Saidur Rahman 0002, Scott E. Coull, Matthew Wright 0001   +2 more
openaire   +3 more sources

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

Mobile Malware Classification

International Journal of Engineering & Technology, 2018
Android malware is growing in such an exponential pace which lead to the need of an efficient malware intrusion  detection technique. The single approach of clustering or classification technique in malware intrusion detection yield to high negative positive alarm rate..
Zolidah Kasiran, Norkhushaini Awang, Fatin Nurhanani Rusli   +2 more
openaire   +1 more source

Malware Classification Using Ensemble Classifiers [PDF]

, 2018
Antimalware offers detection mechanism to detect and take appropriate action against malware detected. To evade detection, malware authors had introduced polymorphism to malware.
Mohd Hanafi Ahmad Hijazi, Tan Choon Beng, Yuto Lim, James Mountstephen, Kashif Nisar, Lim, Yuto, James Mountstephens   +6 more
core   +1 more source

Efficient Deep Learning Network With Multi-Streams for Android Malware Family Classification

IEEE Access, 2022
It is important to effectively detect, mitigate, and defend against Android malware attacks, because Android malware has long represented a major threat to Android app security.
Hyun-Il Kim, Moonyoung Kang, Seong-Je Cho, Sang-Il Choi   +3 more
doaj   +1 more source

Mapping Corporate Environment, Social, and Governance Discourses: Analysis of Korean Companies' Sustainability Reports (2014–2024)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporations increasingly use Environmental, Social, and Governance (ESG) reports to articulate their commitments, priorities, and performance in sustainability governance. This study examines how Korean firms have configured and reconfigured their sustainability discourses across industries and time using 634 sustainability reports (2014–2024)
Taedong Lee, Sinjae Kang, Dian Wahyu Utami, Bohae Na   +3 more
wiley   +1 more source

Fighting fire with fire – a Pre-emptive approach to restore control over IT assets from malware infection [PDF]

, 2012
Malware is a major threat as they induce multiple risks to infected organizations. Current Anti-Malware solutions meant to keep Malware away are challenged on how to keep the risks at bay effectively. When a Malware manages to penetrate an organization’s
Pan, J.Y.
core   +1 more source

Malware Classification using Km-SVM [PDF]

, 2020
Malware identification and classification is a problem faced even in this decade. This is majorly due to the fact that advance malware are more sophisticated in nature and have state of the art abilities to remain hidden or change their code/behaviour ...
Ghorpade, Ashish
core