A survey of recent advances in deep learning models for detecting malware in desktop and mobile platforms

P Maniriho, AN Mahmood, MJM Chowdhury - ACM Computing Surveys, 2024 - dl.acm.org
Malware is one of the most common and severe cyber threats today. Malware infects
millions of devices and can perform several malicious activities including compromising …

Chatbots in a botnet world

F McKee, D Noever - arxiv preprint arxiv:2212.11126, 2022 - arxiv.org
Question-and-answer formats provide a novel experimental platform for investigating
cybersecurity questions. Unlike previous chatbots, the latest ChatGPT model from OpenAI …

AMD‐CNN: Android malware detection via feature graph and convolutional neural networks

RS Arslan, M Tasyurek - Concurrency and Computation …, 2022 - Wiley Online Library
Android malware has become a serious threat to mobile device users, and effective
detection and defence architectures are needed to solve this problem. Recently, machine …

Analysis of Anomaly detection of Malware using KNN

S Rani, K Tripathi, Y Arora… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Computer malware development has grown rapidly in the last decade. Nowadays, malicious
software (malware) is widely used by cybercriminals to attack computer systems. Malware …

Malware detection using deep learning techniques

A Bensaoud - 2023 - search.proquest.com
Abstract Recently, millions of Social Security Numbers have been compromised, credit card
numbers stolen, drones hijacked, and nuclear centrifuges hacked. These cyber-attacks and …

Detection of integrity attacks on permissions of Android-based mobile apps: Security evaluation on PayPal

O Hussein - IJCI. International Journal of Computers and …, 2024 - ijci.journals.ekb.eg
The objective of this paper is to detect unauthorized modifications to genuine permissions of
legitimate Android-based mobile apps in real-time, with demonstration on PayPal payment …

An effective attention and residual network for malware detection

W Gu, H **ng, T Hou - IET Communications, 2024 - Wiley Online Library
Due to its open source and large user base, Android has emerged as the most popular
operating system. Android's popularity and openness have made it a prime target for …

Deep Learning Based Hybrid Analysis of Malware Detection and Classification: A Recent Review

SS Hussain, MF Ab Razak… - Journal of Cyber …, 2024 - journals.riverpublishers.com
Globally extensive digital revolutions involved with every process related to human progress
can easily create the critical issues in security aspects. This is promoted due to the important …

[HTML][HTML] 1.1 Malware Categorization

SS Hussain, MF Ab Razak, A Firdaus - journals.riverpublishers.com
There are several ways to categories the malware based on its nature of detection, pattern,
and behaviour etc. Behavior-based or signature-based techniques are the two primary types …

Novel Text and Image Based Approach to Android Malware Detection

A Pal - 2023 - norma.ncirl.ie
This research examined two unique, image and text-based malware detection strategies
before proposing novel classification techniques. It is clear from previous research in the …