A two‐step authentication framework for Mobile ad hoc networks [PDF]
The lack of fixed infrastructure in ad hoc networks causes nodes to rely more heavily on peer nodes for communication. Nevertheless, establishing trust in such a distributed environment is very difficult, since it is not straightforward for a node to ...
Douligeris, C. +2 more
core
Mobile ad hoc networks (MANETs) are constantly confronted with issues including variable quality of service (QoS) metrics, route optimization, and flexible topology. Here, a novel hybrid ant lion optimization (HALO) algorithm is proposed that integrates the cooperative foraging behavior of ant colonies from ant colony optimization and the hunting ...
Aparna P. More +3 more
wiley +1 more source
Mobilne ad hoc mreže (MANET) jesu samokonfigurišuće mreže čvorova povezanih bežičnim vezama bez bilo kakvog oblika centralizovanog upravljanja. Trenutno su jedan od najvažnijih istraživačkih predmeta zbog velikog broja različitih primena (vojna, spasilačka itd.). U MANET mrežama svaki čvor istovremeno je terminal i ruter.
Dejan M. Tepšić, Mladen Đ. Veinović
openaire +1 more source
Retraction: FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET. [PDF]
PLOS One Editors.
europepmc +1 more source
Hybrid intelligence-powered secure clustering with trust-optimized routing for next-generation MANET communication. [PDF]
Anuprathibha T +3 more
europepmc +1 more source
Energy-aware and trust-based secure routing in manets using swarm intelligence techniques. [PDF]
Hemalatha S +3 more
europepmc +1 more source
Ensemble agent based machine learning approach for energy efficient attack detection and prevention in MANETs. [PDF]
Nigam P +4 more
europepmc +1 more source
Authentication mechanism based on distributed blockchain for secure and energy efficient mobile ad-hoc networks. [PDF]
Sugumaran VR +3 more
europepmc +1 more source
An adaptive, energy-efficient and secure routing protocol for zone-related mobile Ad-hoc networks using reinforcement learning. [PDF]
Singh SB +5 more
europepmc +1 more source
Deep Learning-Based Automatic Muscle Segmentation of the Thigh Using Lower Extremity CT Images. [PDF]
Kim YJ +5 more
europepmc +1 more source

