Marco Ramilli

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Web-based applications rely on the HTTPS protocol to guarantee privacy and security in transactions ranging from home banking, e-commerce, and e-procurement to those that deal with sensitive data such as career and identity information. Users trust this protocol to prevent unauthorized viewing of their personal, financial, and confidential information over(More)
Malware signature detectors use patterns of bytes, or variations of patterns of bytes, to detect malware attempting to enter a systems. This approach assumes the signatures are both or sufficient length to identify the malware, and to distinguish it from non-malware objects entering the system. We describe a technique that can increase the difficulty of(More)
Attackers able to compromise the memory of a target machine can change its behavior and usually gain complete control over it. Despite the ingenious prevention and protection mechanisms that have been implemented in modern operating systems, memory corruption attacks still account for a big share of the security breaches afflicting software systems. This(More)
Calorimeters with a high granularity are a fundamental requirement of the Particle Flow paradigm. This paper focuses on the prototype of a hadron calorimeter with analog readout, consisting of thirty-eight scintillator layers alternating with steel absorber planes. The scintillator plates are finely segmented into tiles individually read out via Silicon(More)
Joining up service delivery of multiple organizations often requires public organizations to exchange citizens’ information. To ensure their privacy and realize information security, controlling data access is paramount. However, limited research was found on issues that emerge when realizing data access control in inter-organizational collaboration.(More)
Malware behavior detectors observe the behavior of suspected malware by emulating its execution or executing it in a sandbox or other restrictive, instrumented environment. This assumes that the process, or process family, being monitored will exhibit the targeted behavior if it contains malware. We describe a technique for evading such detection by(More)
Social networks heavily rely on the concept of reputation. Some platforms implement formalized systems to express reputation, for example as a rating, but the concept is broader and very often the reputation of a user, the perceived quality of a product, the popularity of a TV show or any other subject of published information stems from a more informal(More)
Network intrusion detection is a key security issue that can be tackled by means of different approaches. This paper describes a novel methodology for network attack detection based on the use of data mining techniques to process traffic information collected by a monitoring station from a set of hosts using the Simple Network Management Protocol (SNMP).(More)