Swarm attacks are of great concern to the U.S. Navy, to navies around the world, and to commercial ships transiting through waters with a high volume of marine traffic. A large group of hostile ships can hide themselves among various other small ships, like pleasure crafts, fishing boats, and transport vessels, and can make a coordinated attack against a High Value Unit (HVU) while it passes by. The HVU can easily be overwhelmed by the hostile ships and taken over. The objective of this thesis is to develop heuristic algorithms that defenders can use to intercept and stop the advances of multiple attackers. The algorithms are based on pursuit guidance laws and proportional navigation guidance laws, which are commonly used in missile guidance strategies. The thesis evaluates the effectiveness of the heuristic algorithms in defending the HVU against the swarm attack. The probability that the HVU survives the swarm attack will be used as a measure of effectiveness of the algorithms.
Distributed Strategies in Defense of a High Value Unit (HVU) Against a Swarm Attack
2012
105 pages
Report
No indication
English
Computer Software , Marine Engineering , Military Sciences , Military Operations, Strategy, & Tactics , Attack , Boats , Interception , Measures of effectiveness , Naval vessels , Ship defense systems , Small ships , Algorithms , Computerized simulation , Heuristic methods , Military forces(Foreign) , Multiagent systems , Navy , Scenarios , Survivability , Theses , Swarm attacks , High value units , Heuristic algorithms , Pursuit guidance laws , Proportional navigation laws , Usv(Unmanned surface vehicles) , Cost functions
UAV Swarm Attack-Defense Confrontation Based on Multi-agent Reinforcement Learning
Springer Verlag | 2021
|Defense against relay attack in passive keyless entry systems
European Patent Office | 2019
|DEFENSE AGAINST RELAY ATTACK IN PASSIVE KEYLESS ENTRY SYSTEMS
European Patent Office | 2020
|