Monther AldwairiAssociate Professor BioMonther Aldwairi is an associate professor at the College of Technological Innovation at Zayed University since the fall of 2014. He received his B.S. in electrical engineering from Jordan University of Science and University (JUST) in 1998, and his M.S. and PhD in computer engineering from North Carolina State University (NCSU), Raleigh, NC, in 2001 and 2006, respectively. Prior to joining ZU, he was an Assistant and then Associate Professor of Computer Engineering at Jordan University of Science and Technology. Dr. Aldwairi’s research interests are in network and web security, intrusion detection and forensics, cloud computing, reconfigurable architectures, artificial intelligence and pattern matching.
Office:
Abu Dhabi Campus, M F2 -0- 012 Teaching AreasComputer Networks
Information Security
Computer Architecture Research and Professional ActivitiesDr Aldwairi is currently working on five projects: (1) MalPrint: Malware automatic signature generation system, (2) Pattern Matching for Signature-Based IDS Using MapReduce Framework and Myers Algorithm, (3) SCANS: Stop character automatic signature generation system for intrusion detection systems, (4) Efficient Pattern Matching Hardware for Network Intrusion Detection Systems, (5) GFlux: A Google-Based System for Fast Flux Detection, (6) Exhaust: Optimizing Wu-Manber Pattern Matching for Intrusion Detection using Bloom Filters. Samples of Recent Publications [1] Basheer Al-Duwairi, Ahmad Al-Hammouri, Monther Aldwairi, Vern Paxson, “GFlux: A Google-Based System for Fast Flux Detection”, IEEE Conference on Communications and Network Security (IEEE-CNS 2015), Florence, Italy, 27-29 Sept 2015. [2] Monther Aldwairi, Koloud Al-Khamaiseh, “Exhaust: Optimizing Wu-Manber Pattern Matching for Intrusion Detection using Bloom Filters”, The 2nd World Symposium on Web Applications and Networking (WSWAN’2015), Sousse, Tunisia, 21-23 March 2015. DOI: 10.1109/WSWAN.2015.7209081 [3] Monther Aldwairi, Bashar Al-Hajasad, Yaser Khamayseh, “A Classifier System for Predicting RNA Secondary Structure”, International Journal of Bioinformatics Research and Applications 01/2014; 10(3):307-20. DOI:10.1504/IJBRA.2014.060764. [4] Monther Aldwairi, Yaser Khamayseh, Mohamed Al-Masri, (2012), “Application of artificial bee colony for intrusion detection systems”. Security Comm. Networks. http://dx.doi.org/10.1002/sec.588 [5] Monther Aldwairi, Rami Alsalman, “MALURLS: A lightweight Malicious Website Classification Based on URL Features”, Journal of Emerging Technologies in Web Intelligence (JETWI), Vol. 4, No. 2, pp.128-133, 2012. [6] Mazen Kharbutli, Monther Aldwairi, Abdullah Mughrabi, “Function and Data Parallelization of Wu-Manber Pattern Matching for Intrusion Detection Systems”, Network Protocols and Algorithms, Vol. 4, No. 3, pp. 46–61, 2012. [7] Monther Aldwairi, Haitham Noman, “A Zero-day Attach Exploiting a Yahoo Messenger Vulnerability”. International Journal of Scientific & Engineering Research, Vol. 3, No. 8, 2012. |