Hao Zhang

According to our database, Hao Zhang authored at least 9 papers between 2012 and 2019.

Collaborative distances:

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

2019

Pseudo-Honeypot: Toward Efficient and Scalable Spam Sniffer.

Yihe Zhang, Hao Zhang, Xu Yuan, Nian-Feng Tzeng

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

Toward Efficient Spammers Gathering in Twitter Social Networks.

Yihe Zhang, Hao Zhang, Xu Yuan

Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy, 2019

TweetScore: Scoring Tweets via Social Attribute Relationships for Twitter Spammer Detection.

Yihe Zhang, Hao Zhang, Xu Yuan, Nian-Feng Tzeng

Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019

2016

Causality reasoning about network events for detecting stealthy malware activities.

Hao Zhang, Danfeng (Daphne) Yao, Naren Ramakrishnan, Zhibin Zhang

Comput. Secur., 2016

Causality-based Sensemaking of Network Traffic for Android Application Security.

Hao Zhang, Danfeng (Daphne) Yao, Naren Ramakrishnan

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, 2016

2015

Visualizing Traffic Causality for Analyzing Network Anomalies.

Hao Zhang, Maoyuan Sun, Danfeng (Daphne) Yao, Chris North

Proceedings of the 2015 ACM International Workshop on International Workshop on Security and Privacy Analytics, 2015

2014

Detection of stealthy malware activities with traffic causality and scalable triggering relation discovery.

Hao Zhang, Danfeng (Daphne) Yao, Naren Ramakrishnan

Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security, 2014

2013

A semantic-aware approach to reasoning about network traffic relations.

Hao Zhang, Danfeng (Daphne) Yao, Naren Ramakrishnan

Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013

2012

User Intention-Based Traffic Dependence Analysis for Anomaly Detection.

Hao Zhang, William Banick, Danfeng Yao, Naren Ramakrishnan

Proceedings of the 2012 IEEE Symposium on Security and Privacy Workshops, 2012