Threats of Juice Jacking: Security Issues and Control Measures

Pratin R , Prawin Raj V M , Vigneshwaran S

cyber-attack, malicious code, USB code, security, hacker, keystroke dynamics, authentication

To create a secure system, it is crucial to develop security software that can safeguard the system against external attacks and protect the internal data from unauthorized access. Juice Jacking is a cyber-attack method which is done by hackers in order to gain unauthorized access to a system via USB connections and steal sensitive user data. USB is a commonly used standard for connecting peripherals in 5G computer systems and also for charging devices. However, the use of USB for transferring data between devices can pose significant security threats, and maintaining data privacy on the bus line is crucial to ensure data integrity. This work aims to analyse the attack by using 10 malware attacks which affects the device, and various ML and deep learning models were employed to predict and prevent these attacks. The experimental results showed that the deep learning model was effective in identifying and predicting the Juice Jacking attack. Additionally, the paper discusses several techniques that can prevent or mitigate Juice Jacking attacks, ensuring the security of the system and the privacy of the user's data.

Published Paper   E-Certificate

"Threats of Juice Jacking: Security Issues and Control Measures", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.753-757, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001119.pdf

Volume 11 Issue 2, February-2024

Pages : 753-757

Paper Reg. ID: TIJER_151053

Published Paper Id: TIJERB001119

Downloads: 000276

Research Area: Science and Technology

Country: TIRUVALLUR, TAMILNADU, India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJERB001119

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJERB001119

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition