A survey of recent advances in deep learning models for detecting malware in desktop and mobile platforms
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 …
millions of devices and can perform several malicious activities including compromising …
Chatbots in a botnet world
Question-and-answer formats provide a novel experimental platform for investigating
cybersecurity questions. Unlike previous chatbots, the latest ChatGPT model from OpenAI …
cybersecurity questions. Unlike previous chatbots, the latest ChatGPT model from OpenAI …
AMD‐CNN: Android malware detection via feature graph and convolutional neural networks
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
before proposing novel classification techniques. It is clear from previous research in the …