Academic Papers

A New Class of Optimal Frequency Hopping Sequences with Applications to Secure Communication Waveforms

Oct 03, 2023

Frequency hopping (FH) is a spread spectrum technique used to protect against detection, interception, location, and jamming. FH is an interference mitigation strategy wherein the transmission frequency is changed in a seemingly random manner, occupying a given frequency band for a very short amount of time. FH systems provide low probability of intercept (LPI) mainly by using large hop bandwidths. Using large portions of spectrum is beneficial because it makes it potentially more difficult for a third party to monitor the entire bandwidth at once. 

A popular way to implement FH is through the use of specially designed pseudorandom sequences known only to intended users. The pseudorandom sequences must be designed according to certain mathematical properties in order to guarantee that an attacker cannot learn the hopping sequence and defeat the protection. Prior research has revealed an interesting equivalence relation between mathematically optimal FH sequences and partitioned difference families in cyclic groups. 

Using this relationship, we provide a method that yields new families of optimal FH sequences, inequivalent to known ones. The resulting FH sequence families contain several members whose underlying pseudorandom sequences (waveforms) possess high linear span, thereby making them desirable for secure communications. For periodic sequences, linear span is the standard measure of its predictability. The higher the linear span, the harder it is for an adversary to jam or intercept messages. To intercept a waveform, one must capture enough to fully reproduce the sequence. If the linear span is L, then the entire sequence can be determined by 2L successive elements of it. So after capturing 2L elements, an attacker can fully reproduce the waveform. If they can reproduce it, they can jam it. Our proof-of-concept research shows exponential growth (Fibonacci in dimension d of the underlying m-sequences/LFSR) of the linear span, which is a significant increase in security over the state of the art (SOA). As larger values of d are used, the security benefits of our sequences become more and more pronounced in comparison with SOA.

  • Year: 2023
  • Tag: Wireless communication, Geometry, Time-frequency analysis, Bandwidth, Spread spectrum communication, Electromagnetic spectrum, Security
  • Author: K. T. Arasu, Michael R. Clark, Timothy M. McManus
  • Released: 2023 33rd International Telecommunication Networks and Applications Conference

Featured Riverside Research Author(s)

K. T. Arasu

K. T. Arasu (Member, IEEE) is a senior research scientist at Riverside Research in the Engineering and Support Solutions Group. He received the B.S. and M.S. degrees in

mathematics from Panjab University, India, and the Ph.D. degree from The

Ohio State University. Prior to joining

Riverside Research, he was a Professor with the Department of Mathematics

and Statistics, Wright State University, for 35 years. He investigates novel

techniques on error correcting codes, cryptography, data security and privacy,

as well as topics at the intersection of machine learning, security, and

information theory. He has published over 110 research papers. During

his time as a professor at Wright State University, he was presented the

Teaching Excellence Award from the College of Science and Mathematics, the

Presidential Research Excellence Award, and the Trustees' Award for Faculty

Excellence. He serves on the editorial board of several technical international

journal publications.

LinkedIN
K. T. Arasu

Michael R. Clark

LinkedIN
Michael R. Clark

Timothy M. McManus

Timothy M. McManus
Disclaimer

The above listed authors are current or former employees of Riverside Research. Authors affiliated with other institutions are listed on the full paper. It is the responsibility of the author to list material disclosures in each paper, where applicable – they are not listed here. This academic papers directory is published in accordance with federal guidance to make public and available academic research funded by the federal government.