A game-theoretical approach for finding optimal strategies in a botnet defense model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6442 LNCS, Issue , 2010, Pages 135-148

  Bensoussan, Alain ^a,b   Kantarcioglu, Murat ^a   Hoe, Singru ^a  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Botnet Defense; Differential Game; Nash Equilibrium

Indexed keywords

BOTNET DEFENSE; BOTNETS; CLOSED-LOOP; CONTROL PROBLEMS; DEFENSE STRATEGY; DEFENSIVE STRATEGIES; DIFFERENTIAL GAMES; ECONOMIC ASPECTS; ECONOMIC DAMAGES; ECONOMIC INCENTIVE; ECONOMIC PROFIT; EPIDEMIC MODELS; FINDING OPTIMAL STRATEGIES; GAME-THEORETICAL FRAMEWORK; NASH EQUILIBRIUM; NETWORK DEFENSE; OPTIMAL STRATEGIES; SWITCHING THRESHOLDS; THEORETICAL APPROACH; DIFFERENTIAL GAME MODELS; NASH EQUILIBRIA;

COMPUTER NETWORKS; DECISION THEORY; OPTIMAL SYSTEMS; OPTIMIZATION; PROFITABILITY; SECURITY OF DATA; SWITCHING CIRCUITS; BOTNET; COMPUTATION THEORY; MERCURY (METAL); NETWORK SECURITY;

GAME THEORY;

EID: 78650718541     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17197-0_9     Document Type: Conference Paper

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