This paper addresses the problem of detecting masquerading, a security attack in which an intruder assumes the identity of a legitimate user. Many approaches based on Hidden Marko...
Scott E. Coull, Joel W. Branch, Boleslaw K. Szyman...
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Caches are crucial components in modern processors (both stand-alone or integrated into SoCs) and their test is a challenging task, especially when addressing complex and high-fre...
Wilson J. Perez, Danilo Ravotto, Edgar E. Sá...
—Network Intrusion Detection System (NIDS) is a system which can detect network attacks resulted from worms and viruses on the Internet. An efficient pattern matching algorithm p...
This work proposes a processor architecture for elliptic curves cryptosystems over fields GF(2m ). This is a scalable architecture in terms of area and speed that exploits the abil...