ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Isotopes & Radiation
Members are devoted to applying nuclear science and engineering technologies involving isotopes, radiation applications, and associated equipment in scientific research, development, and industrial processes. Their interests lie primarily in education, industrial uses, biology, medicine, and health physics. Division committees include Analytical Applications of Isotopes and Radiation, Biology and Medicine, Radiation Applications, Radiation Sources and Detection, and Thermal Power Sources.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Jul 2024
Jan 2024
Latest Journal Issues
Nuclear Science and Engineering
August 2024
Nuclear Technology
Fusion Science and Technology
Latest News
Constellation seeks rezone for property adjacent to Illinois plant
While no development details have been released, Constellation is asking to rezone 658.8 acres of land it owns around the Byron nuclear plant in Illinois for possible long-term use.
Fan Zhang, J. Wesley Hines, Jamie Coble (Univ of Tennessee)
Proceedings | 2018 International Congress on Advances in Nuclear Power Plants (ICAPP 2018) | Charlotte, NC, April 8-11, 2018 | Pages 279-284
Cybersecurity of industrial control systems (ICS) is an essential research area due to increasing critical asset-targeted cyberattacks and their potential severe consequences. Current intrusion detection systems (IDS) are primarily based on network traffic monitoring, which may be not sufficient for detecting comprehensive and carefully prepared cyberattacks. In this situation, the combination of empirical monitoring with statistical anomaly detection technique is a promising and feasible approach to early detection of ICS cyberattack that takes advantage of numerous and various sensors used in industry; this may provide a complementary approach to traditional network-based intrusion detection to improve coverage of detectable cyberattacks. The motivation of this study is to generate ICS intrusion data to study the use of empirical models for ICS cybersecurity. In this paper, a real-time ICS test bed, which includes a physical two-loop forced flow system, LabVIEW-based supervisory control and data acquisition (SCADA) system, and Kali Linux-incorporated cyber network that conducts attacks within the local area network (LAN), is deployed to generate relevant data. Three cyberattacks scenarios are carried out in this paper, including packets sniffing with man-in-the-middle (MITM) attack; denial-of-service (DoS) attack to SCADA slave with spoofed IP address; and change command with spoofed SCADA master by MITM attack. Physical process data, including field sensor data, which represents industrial process data, are collected by the LabVIEW-based SCADA system. Network communication data are collected with Wireshark. The significance of this test bed is providing both industrial process data and network communication data of normal and under-attack situation, which will be useful in future empirical model based intrusion detection analysis. Future works will focus on improving the ICS test bed through integrating industrial protocols and collect more intrusion data for studying IDS.