Ahmed Lekssays

According to our database, Ahmed Lekssays authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semantic Ranking for Automated Adversarial Technique Annotation in Security Text.

Udesh Kumarasinghe, Ahmed Lekssays, Husrev Taha Sencar, Sabri Boughorbel, Charitha Elvitigala, Preslav Nakov

CoRR, 2024

2023

MalCon: A blockchain-based malware containment framework for Internet of Things.

Ahmed Lekssays, Barbara Carminati, Elena Ferrari

Comput. Networks, September, 2023

Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition.

Debaditya Roy, Ahmed Lekssays, Sarunas Girdzijauskas, Barbara Carminati, Elena Ferrari

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Privacy-preserving Decentralized Learning of Knowledge Graph Embeddings.

Anh-Tu Hoang, Ahmed Lekssays, Barbara Carminati, Elena Ferrari

Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, 2023

Early-Stage Ransomware Detection Based on Pre-attack Internal API Calls.

Filippo Coglio, Ahmed Lekssays, Barbara Carminati, Elena Ferrari

Proceedings of the Advanced Information Networking and Applications, 2023

2022

MalRec: A Blockchain-based Malware Recovery Framework for Internet of Things.

Ahmed Lekssays, Giorgia Sirigu, Barbara Carminati, Elena Ferrari

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

PAutoBotCatcher: A blockchain-based privacy-preserving botnet detector for Internet of Things.

Ahmed Lekssays, Luca Landa, Barbara Carminati, Elena Ferrari

Comput. Networks, 2021

LiMNet: Early-Stage Detection of IoT Botnets with Lightweight Memory Networks.

Lodovico Giaretta, Ahmed Lekssays, Barbara Carminati, Elena Ferrari, Sarunas Girdzijauskas

Proceedings of the Computer Security - ESORICS 2021, 2021

2020

A Novel Approach for Android Malware Detection and Classification using Convolutional Neural Networks.

Ahmed Lekssays, Bouchaib Falah, Sameer Abufardeh

Proceedings of the 15th International Conference on Software Technologies, 2020