DefTesPY: Cyber defense model with enhanced data modeling and analysis for Tesla company via Python Language
Naresh Kshetri, Irin Sultana, Mir Mehedi Rahman, Darshana Shah

TL;DR
This paper introduces DefTesPY, a cyber defense model utilizing enhanced data modeling and analysis in Python, specifically designed to protect Tesla from cyber threats and data breaches.
Contribution
The paper presents a novel cyber defense model, DefTesPY, tailored for Tesla, incorporating advanced data modeling and analysis techniques to counter cyber-attacks.
Findings
Proposed a new cyber defense model for Tesla
Enhanced data analysis improves threat detection
Model addresses recent cyber breach at Tesla
Abstract
Several types of cyber-attacks on automobiles and business firms keep on rising as we are preparing to counter cybercrimes with several new technologies and defense models. Cyber defense (also, counter intelligence) is a computer network defense mechanism that involves response to activities, critical infrastructure protection, and information assurance for corporations, government bodies, and other conceivable networks. Cyber defense focuses on preventing, detecting, and responding to assaults or threats in a timely manner so that no infrastructure or information is compromised. With the increasing volume and complexity of cyber threats, most companies need cyber defense to protect sensitive information and assets. We can control attacker actions by utilizing firewalls at different levels, an intrusion detection system (IDS), with the intrusion prevention system (IPS) which can be…
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Taxonomy
TopicsBig Data Technologies and Applications · Computational Physics and Python Applications · Advanced Data Processing Techniques
