Students and faculty in the Department of Electrical, Computer, Software, and Systems Engineering are some of the more prolific researchers in the Embry-Riddle family. The department's research expenditures are nearly one-half those of the entire College of Engineering, with support from federal agencies including NSF, FAA, and NOAA as well as industry partners. The department is heavily involved in projects managed by ERAU's NEAR Lab and by the COE's Eagle Flight Research Center.

Strategic department research directions include three areas critical for the future of aerospace. These are:

  • Detect and avoid technologies for unmanned aircraft systems;
  • Assured systems for aerospace, including cybersecurity and development assurance;
  • Modeling and simulation for aviation and aerospace.

Detect and avoid technologies enable unmanned aircraft systems to "see and be seen" by other aircraft and by air traffic controllers on the ground. Of particular challenge is detect and avoid of uncooperative aircraft, those aircraft that aren't equipped to announce their position either automatically or in response to interrogations from the ground.

Assured systems are those that are robust in the face of cybersecurity challenges, with assured development being system design approaches that yield assured systems without high overhead.

Modeling and simulation for aviation involves everything from the logistics of getting passengers onto aircraft to planning how to get all air traffic around predicted bad weather without upsetting arrival times and locations.

Efficient Management of Certificate Revocation List (CRL)

PI Shafika Showkat Moni

Most of the Public Key Infrastructure (PKI) based security and privacy solutions for VANETs use pseudonyms where each vehicle gets multiple identities to improve privacy significantly.

Most of the Public Key Infrastructure (PKI) based security and privacy solutions for VANETs use pseudonyms where each vehicle gets multiple identities to improve privacy significantly. A vehicle needs 720 pseudonyms in 24 hours and 262,800 pseudonyms in 1 year, according to the US-based SAE J2735 standard. Trusted Authority (TA) revokes all the pseudonyms assigned to a malicious vehicle and stores them in the CRL. However, the overhead of maintaining such a large volume of identities is overwhelming for traditional CRL-based solutions. In turn, it incurs a higher delay to update and broadcast the CRL periodically. We have designed a novel approach by leveraging the Cuckoo Filter to reduce the storage, computation, and communication overhead associated with the CRL in VANET. The cuckoo filter contains only one entry for all pseudonyms of a revoked vehicle, thereby minimizing the overhead associated with CRL verification. Our scheme also provides an efficient lookup operation for vehicles and Road Side Units (RSUs) in a Vehicle to Infrastructure (V2I) scenario.

Researchers

  • Shafika Showkat Moni

    Shafika Showkat Moni

    Department
    Electrical Engineering and Computer Science Dept
    Degrees
    Ph.D., M.S., University of Kentucky