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 installed independently or in combination with other protection approaches. Tesla is an American clean energy and automotive company in Austin, Texas, USA. The recent data breach at Tesla affected over 75,000 individuals as the company pinpoints two former employees as the offender revealing more than 23,000 internal files from 2015 to 2022. In this work, we will emphasize data modeling and data analysis using cyber defense model and python with a survey of the Tesla company. We have proposed a defense model, DefTesPY, with enhanced data modeling and data analysis based on the encountered cyber-attacks and cybercrimes for Tesla company till date.

翻译：随着我们运用多项新技术与防御模型应对网络犯罪，针对汽车及商业企业的各类网络攻击持续攀升。网络防御（亦称反情报）是一种计算机网络防御机制，涉及对各类活动的响应、关键基础设施保护以及为企业、政府机构及其他可能网络提供信息保障。网络防御侧重于及时预防、检测并应对攻击或威胁，以确保基础设施与信息不受侵害。面对日益增长且复杂化的网络威胁，多数企业需借助网络防御来保护敏感信息与资产。我们可通过在不同层级部署防火墙、入侵检测系统（IDS）及入侵防御系统（IPS）来控制攻击者行为，这些系统可独立安装或与其他防护方案结合使用。特斯拉是一家位于美国德克萨斯州奥斯汀的清洁能源与汽车公司。近期特斯拉数据泄露事件影响超过75,000人，公司确认两名前员工为肇事者，其泄露了2015年至2022年间超过23,000份内部文件。本研究将结合对特斯拉公司的调研，重点探讨运用网络防御模型与Python进行数据建模与数据分析的方法。基于特斯拉公司迄今遭遇的网络攻击与犯罪案例，我们提出了一种融合增强型数据建模与数据分析的防御模型——DefTesPY。