Simple-based Dynamic Decentralized Community Detection Algorithm in socially aware networks. [PDF]
Xiong Z+6 more
europepmc +1 more source
A self-adaptive attraction and repulsion-based naked mole-rat algorithm for energy-efficient mobile wireless sensor networks. [PDF]
Singh S, Singh U, Mittal N, Gared F.
europepmc +1 more source
Topological self-joinings of Cartan ac-
Elon Lindenstrauss, Zhiren Wang
openaire
Numerical Simulation of Compressive Testing of Sandwich Structures with Novel Triply Periodic Minimal Surface Cores. [PDF]
Vasile A+5 more
europepmc +1 more source
High-Efficiency Clustering Routing Protocol in AUV-Assisted Underwater Sensor Networks. [PDF]
Shi Y, Xue X, Wang B, Hao K, Chai H.
europepmc +1 more source
Hosts and vectors of scrub typhus in Chile: epidemiological study and molecular analyses of Orientia infection in rodents and rodent-associated mites. [PDF]
Martínez-Valdebenito C+6 more
europepmc +1 more source
Detection and genomic characterization of an avian influenza virus A/mute swan/Mangystau/1-S24R-2/2024 (H5N1; clade 2.3.4.4b) strain isolated from the lung of a dead swan in Kazakhstan. [PDF]
Tabynov K+9 more
europepmc +1 more source
On the impacts of join and leave on the propagation ratio of topology-aware active worms
Today, the propagation of active worms in peer-to-peer (P2P) networks is a very serious issue. Therefore, studying the propagation behavior of active worms and modeling their proliferation is quite useful to employ an effective and low-cost defense strategy to reduce the rate of their propagation. The topology-aware worms use the information related to
Ahmad Jafarabadi+1 more
semanticscholar +4 more sources
The scanning method of computer worms is an important modeling parameter. Active worms use different methods to scan the network for selecting their victim hosts. Topology-aware active worms scan the network by using the information of the network topology.
Ahmad Jafarabadi+1 more
semanticscholar +4 more sources