Results 11 to 20 of about 4,213 (184)

Morphological detection of malware [PDF]

2008 3rd International Conference on Malicious and Unwanted Software (MALWARE), 2008
In the field of malware detection, method based on syntactical consideration are usually efficient. However, they are strongly vulnerable to obfuscation techniques. This study proposes an efficient construction of a morphological malware detector based on a syntactic and a semantic analysis, technically on control flow graphs of programs (CFG).
Bonfante, Guillaume, Kaczmarek, Matthieu, Marion, Jean-Yves   +2 more
openaire   +2 more sources

Detecting Malware with Information Complexity [PDF]

Entropy, 2020
Malware concealment is the predominant strategy for malware propagation. Black hats create variants of malware based on polymorphism and metamorphism. Malware variants, by definition, share some information. Although the concealment strategy alters this information, there are still patterns on the software.
Nadia Alshahwan, Earl T. Barr, David Clark 0001, George Danezis, Héctor D. Menéndez 0001   +4 more
openaire   +4 more sources

HMLET: Hunt Malware Using Wavelet Transform on Cross-Platform

IEEE Access, 2022
As the importance of cyberspace grows, malicious software (malware) is threatening not only individuals but also countries. In addition, numerous malware is still circulating in cyberspace, and as technology advances, new or advanced malware are emerging.
Sangmin Park, Sanghoon Jeon, Huy Kang Kim   +2 more
doaj   +1 more source

The rise of obfuscated Android malware and impacts on detection methods [PDF]

PeerJ Computer Science, 2022
The various application markets are facing an exponential growth of Android malware. Every day, thousands of new Android malware applications emerge. Android malware hackers adopt reverse engineering and repackage benign applications with their malicious
Wael F. Elsersy, Ali Feizollah, Nor Badrul Anuar   +2 more
doaj   +2 more sources

Automated System-Level Malware Detection Using Machine Learning: A Comprehensive Review

Applied Sciences, 2023
Malware poses a significant threat to computer systems and networks. This necessitates the development of effective detection mechanisms. Detection mechanisms dependent on signatures for attack detection perform poorly due to high false negatives.
Nana Kwame Gyamfi, Nikolaj Goranin, Dainius Ceponis, Habil Antanas Čenys   +3 more
doaj   +1 more source

Semantics-aware malware detection [PDF]

2005 IEEE Symposium on Security and Privacy (S&P'05), 2005
A malware detector is a system that attempts to determine whether a program has malicious intent. In order to evade detection, malware writers (hackers) frequently use obfuscation to morph malware. Malware detectors that use a pattern-matching approach (such as commercial virus scanners) are susceptible to obfuscations used by hackers.
Mihai Christodorescu, Somesh Jha, Sanjit A. Seshia, Dawn Xiaodong Song, Randal E. Bryant   +4 more
openaire   +1 more source

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

Investigation of bypassing malware defences and malware detections [PDF]

2011 7th International Conference on Information Assurance and Security (IAS), 2011
Nowadays, malware incident is one of the most expensive damages caused by attackers. Malwares are caused different attacks, so considerations and implementations of malware defences for internal networks are important. In this papers, different techniques such as repacking, reverse engineering and hex editing for bypassing host-based Anti Virus (AV ...
Farid Daryabar, Ali Dehghantanha, Nur Izura Udzir   +2 more
openaire   +1 more source

Deep Android Malware Detection [PDF]

Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy, 2017
In this paper, we propose a novel android malware detection system that uses a deep convolutional neural network (CNN). Malware classification is performed based on static analysis of the raw opcode sequence from a disassembled program. Features indicative of malware are automatically learned by the network from the raw opcode sequence thus removing ...
Niall McLaughlin, Jesús Martínez del Rincón, BooJoong Kang, Suleiman Y. Yerima, Paul Miller 0003, Sakir Sezer, Yeganeh Safaei, Erik Trickel, Ziming Zhao 0001, Adam Doupé, Gail-Joon Ahn   +10 more
openaire   +3 more sources

Malware and Malware Detection Techniques: A Survey

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: Malicious software is a kind of software or codes which took some: private data, information from the PC framework, its tasks is to do only malicious objectives to the PC framework, without authorization of the PC clients. The effect of malicious software are worsen to the client.
Sahil Sehrawat, Dr. Dinesh Singh
openaire   +1 more source