随着社会与现代技术的联系和依赖性越来越强，它也变得越来越容易受到网络攻击。随着员工通过众多移动设备连接到专有数据，业务环境提出了挑战。现在，家庭生活中包括大量不断收集和传输数据的设备。CSE研究已在各种环境中提高了网络安全性-从检测异常和恶意活动到识别欺诈和恶意软件。<br> <br>当今世界的安全性已远远超出了信息保证范围，涵盖了一系列依赖高性能计算算法的分析和可视化技术。CSE研究的一个突出领域是佐治亚理工学院的新兴图形技术，它具有与大量数据快速交互并几乎实时响应网络威胁的潜力。<br> <br>图形
As society becomes more connected to and reliant on modern technology, it also grows more vulnerable to cyber attacks. Business environments present challenges as employees connect to proprietary data via numerous mobile devices. Home life now includes a vast array of devices constantly collecting and transmitting data. CSE research has improved cybersecurity in a broad range of settings-from the detection of abnormal and malicious activity, to the identification of fraud and malware. Security in today's world goes far beyond information assurance, encompassing a range of analytic and visualization techniques that rely on high performance computing algorithms. A prominent area of CSE research, emerging graph technology at Georgia Tech has the potential to quickly interact with massive amounts of data and respond in near real time to cyber threats.<br> <br>Graphs are networks with up to trillions of connections, comprised of interconnected vertices and edges that change over time. In the realm of cyber security, the vertices may represent computers, and the edges represent their interactions. By designing fast theoretic algorithms on large-scale graphs, researchers can produce insights in near real time. Projects such as Georgia Tech's STINGER offer an open-source way to understand data with large, streaming graphs.