X-ware: a proof of concept malware utilizing artificial intelligence

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10249262" target="_blank" >RIV/61989100:27740/22:10249262 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/22:10249262

Výsledek na webu

<a href="http://ijece.iaescore.com/index.php/IJECE/article/view/25216/15582" target="_blank" >http://ijece.iaescore.com/index.php/IJECE/article/view/25216/15582</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11591/ijece.v12i2.pp1937-1944" target="_blank" >10.11591/ijece.v12i2.pp1937-1944</a>

Jazyk výsledku

angličtina

Název v původním jazyce

X-ware: a proof of concept malware utilizing artificial intelligence

Popis výsledku v původním jazyce

Recent years have witnessed a dramatic growth in utilizing computational intelligence techniques for various domains. Coherently, malicious actors are expected to utilize these techniques against current security solutions. Despite the importance of these new potential threats, there remains a paucity of evidence on leveraging these research literature techniques. This article investigates the possibility of combining artificial neural networks and swarm intelligence to generate a new type of malware. We successfully created a proof of concept malware named X-ware, which we tested against the Windows-based systems. Developing this proof of concept may allow us to identify this potential threat&apos;s characteristics for developing mitigation methods in the future. Furthermore, a method for recording the virus&apos;s behavior and propagation throughout a file system is presented. The proposed virus prototype acts as a swarm system with a neural network-integrated for operations. The virus&apos;s behavioral data is recorded and shown under a complex network format to describe the behavior and communication of the swarm. This paper has demonstrated that malware strengthened with computational intelligence is a credible threat. We envisage that our study can be utilized to assist current and future security researchers to help in implementing more effective countermeasures. (C) 2022 Institute of Advanced Engineering and Science. All rights reserved.

Název v anglickém jazyce

X-ware: a proof of concept malware utilizing artificial intelligence

Popis výsledku anglicky

Recent years have witnessed a dramatic growth in utilizing computational intelligence techniques for various domains. Coherently, malicious actors are expected to utilize these techniques against current security solutions. Despite the importance of these new potential threats, there remains a paucity of evidence on leveraging these research literature techniques. This article investigates the possibility of combining artificial neural networks and swarm intelligence to generate a new type of malware. We successfully created a proof of concept malware named X-ware, which we tested against the Windows-based systems. Developing this proof of concept may allow us to identify this potential threat&apos;s characteristics for developing mitigation methods in the future. Furthermore, a method for recording the virus&apos;s behavior and propagation throughout a file system is presented. The proposed virus prototype acts as a swarm system with a neural network-integrated for operations. The virus&apos;s behavioral data is recorded and shown under a complex network format to describe the behavior and communication of the swarm. This paper has demonstrated that malware strengthened with computational intelligence is a credible threat. We envisage that our study can be utilized to assist current and future security researchers to help in implementing more effective countermeasures. (C) 2022 Institute of Advanced Engineering and Science. All rights reserved.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Electrical and Computer Engineering

ISSN

2088-8708

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

ID - Indonéská republika

Počet stran výsledku

8

Strana od-do

1937-1944

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85122778849