• Benchmark-Based Reference Model for Evaluating Botnet Detection Tools Driven by Traffic-Flow Analytics 

      Huancayo Ramos, Katherinne Shirley; Sotelo Monge, Marco Antonio; Maestre Vidal, Jorge (Multidisciplinary Digital Publishing Institute (MDPI), 2020)
      Acceso abierto
      Botnets are some of the most recurrent cyber-threats, which take advantage of the wide heterogeneity of endpoint devices at the Edge of the emerging communication environments for enabling the malicious enforcement of fraud ...
    • EsPADA: Enhanced Payload Analyzer for malware Detection robust against Adversarial threats 

      Maestre Vidal, Jorge; Sotelo Monge, Marco Antonio; Martínez Monterrubio, Sergio Mauricio (Elsevier, 2020)
      Acceso restringido
      The emergent communication technologies landscape has consolidated the anomaly-based intrusion detection paradigm as one of the most prominent solutions able to discover unprecedented malicious traits. It relied on building ...
    • Obfuscation of Malicious Behaviors for Thwarting Masquerade Detection Systems Based on Locality Features 

      Maestre Vidal, Jorge; Sotelo Monge, Marco Antonio (NLM (Medline), 2020)
      Acceso abierto
      In recent years, dynamic user verification has become one of the basic pillars for insider threat detection. From these threats, the research presented in this paper focuses on masquerader attacks, a category of insiders ...
    • Profits at the dawn of cybercrime-as-a-service 

      Maestre Vidal, Jorge; Sotelo Monge, Marco Antonio; Martínez Monterrubio, Sergio Mauricio; Barona López, Lorena Isabel; Valdivieso Caraguay, Ángel Leonardo (IEEE, 2019)
      Acceso restringido
      The growing of Information and Communication Technologies (ICT) that has been experienced in recent years, has led to new and more sophisticated ways of doing business. Consequently, worldwide organized criminal groups ...