Electronic Warfare and Artificial Intelligence

Electronic warfare is a critical component of modern military operations and has undergone significant advances in recent years. This book provides an overview of electronic warfare, its historical development, key components, and its role in contemporary conflict scenarios. It also discusses emerging trends and challenges in electronic warfare and its contemporary relevance in an era of advanced technology and cyber threats, emphasizing the need for continued research and development in this area. The book explores the burgeoning intersection of artificial intelligence and electronic warfare, highlighting the evolving landscape of modern conflicts and the implications of integrating advanced technologies. The multifaceted roles of artificial intelligence in electronic warfare are highlighted, examining its potential advantages, ethical considerations, and challenges associated with its integration

Războiul electronic și inteligența artificială

Războiul electronic este o componentă critică a operațiunilor militare moderne și a suferit progrese semnificative în ultimii ani. Această carte oferă o privire de ansamblu asupra războiului electronic, a dezvoltării sale istorice, a componentelor cheie și a rolului său în scenariile de conflict contemporane. De asemenea, se discută tendințele și provocările emergente în războiul electronic și și relevanța sa contemporană într-o eră a tehnologiei avansate și a amenințărilor cibernetice, subliniind necesitatea cercetării și dezvoltării continue în acest domeniu. Cartea explorează intersecția în plină dezvoltare dintre inteligența artificială și războiul electronic, evidențiind peisajul evolutiv al conflictelor moderne și implicațiile integrării tehnologiilor avansate. Se evidențiază rolurile cu mai multe fațete ale inteligenței artificiale în războiul electronic, examinând avantajele sale potențiale, considerentele etice și provocările asociate cu integrarea acesteia

La guerre électronique et l'intelligence artificielle

La guerre électronique est un élément essentiel des opérations militaires modernes et a connu des progrès significatifs ces dernières années. Ce livre donne un aperçu de la guerre électronique, de son évolution historique, de ses composants clés et de son rôle dans les scénarios de conflit contemporains. Il aborde également les tendances et les défis émergents en matière de guerre électronique et sa pertinence contemporaine à l'ère des technologies avancées et des cybermenaces, en soulignant la nécessité de poursuivre la recherche et le développement dans ce domaine. Le livre explore l’intersection naissante de l’intelligence artificielle et de la guerre électronique, mettant en lumière l’évolution du paysage des conflits modernes et les implications de l’intégration des technologies avancées. Les rôles multiformes de l'intelligence artificielle dans la guerre électronique sont mis en évidence, en examinant ses avantages potentiels, les considérations éthiques et les défis associés à son intégration

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

Unmanned Aerial Vehicles (UAV) have revolutionized the aircraft industry in this decade. UAVs are now capable of carrying out remote sensing, remote monitoring, courier delivery, and a lot more. A lot of research is happening on making UAVs more robust using energy harvesting techniques to have a better battery lifetime, network performance and to secure against attackers. UAV networks are many times used for unmanned missions. There have been many attacks on civilian, military, and industrial targets that were carried out using remotely controlled or automated UAVs. This continued misuse has led to research in preventing unauthorized UAVs from causing damage to life and property. In this paper, we present a literature review of UAVs, UAV attacks, and their prevention using anti-UAV techniques. We first discuss the different types of UAVs, the regulatory laws for UAV activities, their use cases, recreational, and military UAV incidents. After understanding their operation, various techniques for monitoring and preventing UAV attacks are described along with case studies

Signal classification at discrete frequencies using machine learning

Incidents such as the 2018 shut down of Gatwick Airport due to a small Unmanned Aerial System (UAS) airfield incursion, have shown that we don’t have routine and consistent detection and classification methods in place to recognise unwanted signals in an airspace. Today, incidents of this nature are taking place around the world regularly. The first stage in mitigating a threat is to know whether a threat is present. This thesis focuses on the detection and classification of Global Navigation Satellite Systems (GNSS) jamming radio frequency (RF) signal types and small commercially available UAS RF signals using machine learning for early warning systems. RF signals can be computationally heavy and sometimes sensitive to collect. With neural networks requiring a lot of information to train from scratch, the thesis explores the use of transfer learning from the object detection field to lessen this burden by using graphical representations of the signal in the frequency and time domain. The thesis shows that utilising the benefits of transfer learning with both supervised and unsupervised learning and graphical signal representations, can provide high accuracy detection and classification, down to the fidelity of whether a small UAS is flying or stationary. By treating the classification of RF signals as an image classification problem, this thesis has shown that transfer learning through CNN feature extraction reduces the need for large datasets while still providing high accuracy results. CNN feature extraction and transfer learning was also shown to improve accuracy as a precursor to unsupervised learning but at a cost of time, while raw images provided a good overall solution for timely clustering. Lastly the thesis has shown that the implementation of machine learning models using a raspberry pi and software defined radio (SDR) provides a viable option for low cost early warning systems