Muhammad Ahmad Bashir
Artificial Intelligence · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- Computer Networks and Communications — 12 citations into it
- Information Systems — 12 citations into it
Whom Muhammad Ahmad Bashir trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Muhammad Ahmad Bashir overall
Papers from Muhammad Ahmad Bashir's perspective
Ordered by how strongly the researchers Muhammad Ahmad Bashir trusts endorse each paper. Same corpus, a different order for every researcher.
- Diagnosing network-wide traffic anomalies
- The Sybil Attack
- Detecting Spammers on Twitter
- Detecting and characterizing social spam campaigns (Conference on Computer and Communications Security)
- Serf and turf: crowdturfing for fun and profit
- SybilInfer: Detecting Sybil Nodes using Social Networks (Network and Distributed System Security Symposium)
- Sybil-Resilient Online Content Voting
- Uncovering social network sybils in the wild (ACM/SIGCOMM Internet Measurement Conference)
- An analysis of social network-based Sybil defenses
- Stealthy poisoning attacks on PCA-based anomaly detectors
Their papers
- Strength in Numbers: Robust Tamper Detection in Crowd Computations (2015) — 46 citations
- Towards Detecting Anomalous User Behavior in Online Social Networks (2014) — 299 citations