Results 21 to 30 of about 489,214 (203)

Adaptive secure malware efficient machine learning algorithm for healthcare data

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source

Disarming visualization-based approaches in malware detection systems [PDF]

, 2022
Visualization-based approaches have recently been used in conjunction with signature-based techniques to detect variants of malware files. Indeed, it is sufficient to modify some byte of executable files to modify the signature and, thus, to elude a ...
Qian, Chenyi, Lax, Gianluca, Fisichella, Marco, Saidia Fascí, Lara   +3 more
core   +1 more source

Malware Visualization Techniques

International Journal of Applied Mathematics Electronics and Computers, 2020
Malware basically means malicious software that can be an intrusive program code or anything that is designed to perform malicious operations on system and executes malicious actions such as clandestine, listening, monitoring, saving, and deleting without the user's knowledge and consent.
Ahmet Efe, Saleh Hussin S. Hussin
openaire   +3 more sources

Visualizing compiled executables for malware analysis [PDF]

2009 6th International Workshop on Visualization for Cyber Security, 2009
Reverse engineering compiled executables is a task with a steep learning curve. It is complicated by the task of translating assembly into a series of abstractions that represent the overall flow of a program. Most of the steps involve finding interesting areas of an executable and determining their overall functionality.
Daniel Quist, Lorie M. Liebrock
openaire   +2 more sources

A Malware Detection Method of Code Texture Visualization Based on an Improved Faster RCNN Combining Transfer Learning

IEEE Access, 2020
Today, with the continuous promotion and development of IoT and 5G technology, Cyberspace has become an important pillar of economic and social development, and also a foundational domain of national security.
Yuntao Zhao, Wenjie Cui, Shengnan Geng, Bo Bo, Yongxin Feng, Wenbo Zhang   +5 more
doaj   +1 more source

A New Learning Approach to Malware Classification Using Discriminative Feature Extraction

IEEE Access, 2019
With the development of the Internet, malware has become one of the most significant threats. Recognizing specific types of malware is an important step toward effective removal.
Ya-shu Liu, Yu-Kun Lai, Zhi-Hai Wang, Han-Bing Yan   +3 more
doaj   +1 more source

Features Engineering for Malware Family Classification Based API Call

Computers, 2022
Malware is used to carry out malicious operations on networks and computer systems. Consequently, malware classification is crucial for preventing malicious attacks.
Ammar Yahya Daeef, Ali Al-Naji, Javaan Chahl   +2 more
doaj   +1 more source

Efficient Windows malware identification and classification scheme for plant protection information systems

Frontiers in Plant Science, 2023
Due to developments in science and technology, the field of plant protection and the information industry have become increasingly integrated, which has resulted in the creation of plant protection information systems.
Zhiguo Chen, Zhiguo Chen, Shuangshuang Xing, Shuangshuang Xing, Xuanyu Ren, Xuanyu Ren   +5 more
doaj   +1 more source

Design of an Automated Malware Analysis System [PDF]

, 2010
Malware, malicious software written for the purpose of causing computer-related damage, has existed for many years. Only recently have the monetary advantages of perpetrating malware begun to gain interest from increasingly malicious groups.
Nabholz, Bradley J
core   +1 more source

Benign-salient Region Based End-to-End Adversarial Malware Generation Method [PDF]

Jisuanji kexue
Malware detection methods combining visualization techniques and deep learning have gained widespread attention due to their high accuracy and low cost.However,deep learning models are vulnerable to adversarial attacks,where intentional small-scale ...
YUAN Mengjiao, LU Tianliang, HUANG Wanxin, HE Houhan
doaj   +1 more source