Connected vehicles (CVs), because of the external connectivity with other CVs and connected infrastructure, are vulnerable to cyberattacks that can instantly compromise the safety of the vehicle itself and other connected vehicles and roadway infrastructure. One such cyberattack is the false information attack, where an external attacker injects inaccurate information into the connected vehicles and eventually can cause catastrophic consequences by compromising safety-critical applications like the forward collision warning. The occurrence and target of such attack events can be very dynamic, making real-time and near-real-time detection challenging. Change point models, can be used for real-time anomaly detection caused by the false information attack. In this paper, we have evaluated three change point-based statistical models; Expectation Maximization, Cumulative Summation, and Bayesian Online Change Point Algorithms for cyberattack detection in the CV data. Also, data-driven artificial intelligence (AI) models, which can be used to detect known and unknown underlying patterns in the dataset, have the potential of detecting a real-time anomaly in the CV data. We have used six AI models to detect false information attacks and compared the performance for detecting the attacks with our developed change point models. Our study shows that change points models performed better in real-time false information attack detection compared to the performance of the AI models. Change point models having the advantage of no training requirements can be a feasible and computationally efficient alternative to AI models for false information attack detection in connected vehicles.

Memes and social networks have become weaponized, while many governments seem ill-equipped to understand the new reality of information warfare. How will we fight state-sponsored disinformation and propaganda in the future? In 2011, a university professor with a background in robotics presented an idea that seemed radical at the time. After conducting research backed by DARPA -- the same defense agency that helped spawn the internet -- Dr. Robert Finkelstein proposed the creation of a brand new arm of the US military, a "Meme Control Center." You'll learn about cybersecurity trends to watch and high-momentum startups with the potential to shape the future of security. In internet-speak the word "meme" often refers to an amusing picture that goes viral on social media. More broadly, however, a meme is any idea that spreads, whether that idea is true or false. It is this broader definition of meme that Finklestein had in mind when he proposed the Meme Control Center and his idea of "memetic warfare." From "Tutorial: Military Memetics," by Dr. Robert Finkelstein, presented at Social Media for Defense Summit, 2011 Basically, Dr. Finklestein's Meme Control Center would pump the internet full of "memes" that would benefit the national security of the United States. Finkelstein saw a future in which guns and bombs are replaced by rumor, digital fakery, and social engineering.