Does Homophily Make Socialbots More Influential? Exploring Infiltration Strategies

Autor: Moghaddam, Samaneh Hosseini, Khademi, Mandana, Abbaspour, Maghsoud

Socialbots are intelligent software controlling all the behavior of fake accounts in an online social network. They use artificial intelligence techniques to pass themselves off as human social media users. Socialbots exploit user trust to achieve th

Externí odkaz: http://arxiv.org/abs/1903.06827

An Anomaly-based Botnet Detection Approach for Identifying Stealthy Botnets

Autor: Arshad, Sajjad, Abbaspour, Maghsoud, Kharrazi, Mehdi, Sanatkar, Hooman

Botnets (networks of compromised computers) are often used for malicious activities such as spam, click fraud, identity theft, phishing, and distributed denial of service (DDoS) attacks. Most of previous researches have introduced fully or partially

Externí odkaz: http://arxiv.org/abs/1811.00925

A density-aware probabilistic interest forwarding method for content-centric vehicular networks

Autor: Tizvar, Rojin, Abbaspour, Maghsoud

Publikováno v: In Vehicular Communications June 2020 23

A Heuristic Routing Mechanism Using a New Addressing Scheme

Autor: Ravanbakhsh, Mohsen, Abbasi-Yadkori, Yasin, Abbaspour, Maghsoud, Sarbazi-Azad, Hamid

Publikováno v: Proceedings of First International Conference on Bio Inspired models of Networks, Information and Computing Systems (BIONETICS), Cavalese, Italy, December 2006

Current methods of routing are based on network information in the form of routing tables, in which routing protocols determine how to update the tables according to the network changes. Despite the variability of data in routing tables, node address

Externí odkaz: http://arxiv.org/abs/0710.1924

An adaptive CSMA/TDMA hybrid MAC for energy and throughput improvement of wireless sensor networks

Autor: Gilani, Mohammad Hossein Sedighi, Sarrafi, Iman, Abbaspour, Maghsoud

Publikováno v: In Ad Hoc Networks June 2013 11(4):1297-1304