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Muddassar Farooq

Researcher at National University of Computer and Emerging Sciences

Publications -  92
Citations -  4097

Muddassar Farooq is an academic researcher from National University of Computer and Emerging Sciences. The author has contributed to research in topics: Routing protocol & Malware. The author has an hindex of 28, co-authored 89 publications receiving 3854 citations. Previous affiliations of Muddassar Farooq include Institute of Space Technology & Center for Advanced Studies in Engineering.

Papers
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Book

Applications of Evolutionary Computing

Mario Giacobini, +8 more
TL;DR: EvoCOMNET Contributions.- Web Application Security through Gene Expression Programming, Location Discovery in Wireless Sensor Networks Using a Two-Stage Simulated Annealing, and more.
Journal ArticleDOI

Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions

Muhammad Saleem, +2 more
- 01 Oct 2011 - 
TL;DR: An extensive survey of protocols developed according to the principles of swarm intelligence, taking inspiration from the foraging behaviors of ant and bee colonies, and introduces a novel taxonomy for routing protocols in wireless sensor networks.
Book ChapterDOI

BeeHive: An efficient fault-tolerant routing algorithm inspired by honey bee behavior

Horst F. Wedde, +2 more
TL;DR: This paper presents a novel routing algorithm, BeeHive, which has been inspired by the communicative and evaluative methods and procedures of honey bees and achieves a similar or better performance compared to state-of-the-art algorithms.
Book ChapterDOI

PE-Miner: Mining Structural Information to Detect Malicious Executables in Realtime

M. Zubair Shafiq, +3 more
TL;DR: The results show that the extracted features are robust to different packing techniques and PE-Miner is also resilient to majority of crafty evasion strategies.
Proceedings ArticleDOI

BeeAdHoc: an energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior

Horst F. Wedde, +6 more
TL;DR: The results of the extensive simulation experiments show that BeeAdHoc consumes significantly less energy as compared to DSR, AODV, and DSDV, which are state-of-the-art routing algorithms, without making any compromise on traditional performance metrics.