Longitudinal Injection of Interdisciplinary Cybersecurity Awareness into Engineering Curricula

将跨学科网络安全意识纵向注入工程课程

• 批准号: 1723814
• 负责人: Shamik Sengupta
• 金额: $ 30万
• 依托单位: Board of Regents, NSHE, obo University of Nevada, Reno
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1723814&HistoricalAwards=false
• 关键词: Longitudinal; Injection; Interdisciplinary; Cybersecurity; Awareness

Upcoming smart technologies such as Smart Cities, Internet of Things, and Unmanned Aerial Vehicles digitize current technologies and require cybersecurity-aware multi-disciplinary engineering experts to ensure the security of such devices. As devices become smart and interconnected to provide improved services, they also become greater targets of cyber-attacks. Ensuring proper operation of smart technologies requires well-trained, proactive engineers, who are knowledgeable on core engineering principles, cybersecurity risks associated with their designs, and risks from other interconnected disciplines. The goal of this collaborative project is to develop and adopt interdisciplinary cybersecurity curriculum by fostering a holistic approach through collaboration across engineering disciplines. By bringing scholars from different engineering disciplines, this project explores unique ways to engage students in interdisciplinary cybersecurity-aware engineering education. The knowledge units developed at the University of Nevada, Reno will be disseminated to engineering colleges nationwide to sustain long-term research and education partnerships in secure engineering.Cybersecurity research and its applications are highly relevant in all areas of engineering, including computer, electrical, mechanical, civil and biomedical disciplines. Researchers will develop knowledge units to introduce and reinforce the importance of cybersecurity to undergraduate students across several engineering disciplines with a focus on Smart Cities, Internet of Things, and Unmanned Aerial Vehicles. These three broad technological areas require expertise in multiple engineering fields and go from macro-level view to micro-level view where each of the sectors encompass the next one. Cybersecurity awareness will be injected organically in a boot camp for incoming engineering freshman, a freshman experience course on Introduction to Engineering, and discipline-specific technical engineering courses, typically during junior and senior years. The project will bring together engineering faculty to develop knowledge units that can be seamlessly adopted across various engineering disciplines. Instruction will be augmented with hands-on activities to create an interactive cybersecurity education environment and stimulate learning. A "Connected Cities" playing arena will be developed, comprising various cyber physical systems that are integrated for hands-on cybersecurity engagement. Through interdisciplinary educational modules and hands-on activities developed via this project, students will obtain a solid grasp on the interplay between different engineering disciplines and obtain critical knowledge and skills needed to engineer smart technologies that are resilient to cyber-attacks.

即将到来的智能城市、物联网和无人机等智能技术将现有技术数字化，需要具有网络安全意识的多学科工程专家来确保此类设备的安全。随着设备变得智能和互联以提供更好的服务，它们也成为网络攻击的更大目标。确保智能技术的正常运行需要训练有素、积极主动的工程师，他们精通核心工程原理、与其设计相关的网络安全风险以及来自其他相互关联的学科的风险。该合作项目的目标是开发和采用跨学科的网络安全课程，通过跨工程学科的协作促进整体方法。通过吸引来自不同工程学科的学者，该项目探索了让学生参与跨学科网络安全意识工程教育的独特方式。位于里诺的内华达大学开发的知识单元将传播给全国的工程学院，以维持在安全工程方面的长期研究和教育伙伴关系。网络安全研究及其应用在工程的所有领域都具有高度相关性，包括计算机、电气、机械、民用和生物医学学科。研究人员将开发知识单元，向几个工程学科的本科生介绍和加强网络安全的重要性，重点是智能城市、物联网和无人机。这三个广泛的技术领域需要多个工程领域的专业知识，并从宏观层面到微观层面，每个部门都包含下一个部门。网络安全意识将被有机地注入到新生工程学新生训练营、工程导论新生体验课程以及特定学科的技术工程课程中，通常是在初三和高三。该项目将把工程学教员聚集在一起，开发可以无缝地应用于各种工程学科的知识单元。将通过实践活动来加强教学，以创造一个互动的网络安全教育环境，并刺激学习。将建立一个由各种网络物理系统组成的“互联城市”竞技场，这些系统集成在一起，用于实际操作的网络安全行动。通过该项目开发的跨学科教育模块和实践活动，学生将牢牢掌握不同工程学科之间的相互作用，并获得设计对网络攻击具有弹性的智能技术所需的关键知识和技能。

项目成果

Distributed allocation and dynamic reassignment of channels in UAV networks for wireless coverage

• DOI: 10.1016/j.pmcj.2019.02.005
• 发表时间: 2019-03
• 期刊: Pervasive Mob. Comput.
• 作者: Amar Nath Patra;Paulo Alexandre Regis;S. Sengupta

Think Smart, Play Dumb: Analyzing Deception in Hardware Trojan Detection Using Game Theory

• DOI: 10.1109/cybersecurity49315.2020.9138897
• 发表时间: 2020-06
• 期刊: 2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)
• 作者: Tapadhir Das;Abdelrahman Eldosouky;S. Sengupta

Anomaly Detection using Supervised Learning and Multiple Statistical Methods

• DOI: 10.1109/icmla.2019.00211
• 发表时间: 2019-12
• 期刊: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
• 作者: Watson Jia;R. Shukla;S. Sengupta

Decentralized Dynamic State Estimation with Bimodal Gaussian Mixture Measurement Noise

具有双峰高斯混合测量噪声的分散动态估计

• DOI: 10.1109/naps46351.2019.9000291
• 发表时间: 2019
• 期刊: 2019 North American Power Symposium (NAPS
• 作者: Sarfi, Vahid;Ghasemkhani, Amir;Niazazari, Iman;Livani, Hanif;Yang, Lei
• 通讯作者: Yang, Lei

Analysis and Detection of Outliers due to Data Falsification Attacks in Vehicular Traffic Prediction Application

车辆交通预测应用中数据篡改攻击引起的异常值分析与检测

• DOI: 10.1109/uemcon.2018.8796587
• 发表时间: 2018
• 期刊: Electronics & Mobile Communication Conference (UEMCON
• 作者: Shukla, Raj Mani;Sengupta, Shamik
• 通讯作者: Sengupta, Shamik