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20012026
most citedHuman Motion Trajectory Prediction: A Survey

656 citations

Showing cs.CRShow all

8 papers · 1 filter

cs.CR2025★ 4 cited

E-PhishGen: Unlocking Novel Research in Phishing Email Detection

Luca Pajola, Eugenio Caripoti, Stefan Banzer +3

Every day, our inboxes are flooded with unsolicited emails, ranging between annoying spam to more subtle phishing scams. Unfortunately, despite abundant prior efforts proposing sol…

cs.CR2023★ 7 cited

Differential Area Analysis for Ransomware: Attacks, Countermeasures, and Limitations

Marco Venturini, Francesco Freda, Emanuele Miotto +2

Crypto-ransomware attacks have been a growing threat over the last few years. The goal of every ransomware strain is encrypting user data, such that attackers can later demand user…

cs.CR2022★ 53 cited

Security and Privacy in Virtual Reality: A Literature Survey

Alberto Giaretta

Virtual reality (VR) is a multibillionaire market that keeps growing, year after year. As VR is becoming prevalent in households and small businesses, it is critical to address the…

cs.CR2019★ 10 cited

UniquID: A Quest to Reconcile Identity Access Management and the Internet of Things

Alberto Giaretta, Stefano Pepe, Nicola Dragoni

The Internet of Things (IoT) has caused a revolutionary paradigm shift in computer networking. After decades of human-centered routines, where devices were merely tools that enable…

cs.CR2018★ 34 cited

Adding Salt to Pepper: A Structured Security Assessment over a Humanoid Robot

Alberto Giaretta, Michele De Donno, Nicola Dragoni

The rise of connectivity, digitalization, robotics, and artificial intelligence (AI) is rapidly changing our society and shaping its future development. During this technological a…

cs.CR2017★ 6 cited

Community Targeted Phishing: A Middle Ground Between Massive and Spear Phishing through Natural Language Generation

Alberto Giaretta, Nicola Dragoni

Looking at today phishing panorama, we are able to identify two diametrically opposed approaches. On the one hand, massive phishing targets as many people as possible with generic…