[PDF] Top 20 Bio/Nature-inspired algorithms in A.I. for malicious activity detection

... The authors in [42], have used fuzzy logic to detect (D)DoS jamming attacks at the Physical and MAC layers in IEEE 802.15.4 low rate wireless personal area networks. They have taken into consideration bad packet and ... See full document

... C. Nature with its extremely diverse, dynamic, robust and complex and fascinating phenomena is the great source of information for solving problems in computer ...Biology inspired computing has a wide field ... See full document

... Ant colony optimization algorithm is a proposed meta- heuristic approach for solving hard combinatorial optimization problems. ACO was inspired from the principle of pheromone trail lying and following behavior of ... See full document

... Abstract: Nature-inspired algorithms have been developed with biological ...learning algorithms from artificial neurons and artificial neural networks have been developed to mimic the human ... See full document

... Biogeography is the study of distribution of species in nature over time and space [3] [9] [11] [13]; that is the immigration and emigration of species between habitats. Each possible solution is an island and ... See full document

... The two dichotomies natural/artificial and scientific/ engineering are orthogonal: although the typical scientific investigation concerns natural systems and the typical engineering application concerns the evolution of ... See full document

... established algorithms among nature inspired algorithms, based on the biological evolution in nature which is responsible for the purpose of all living beings on ... See full document

... in nature inspired ...proposed nature inspired algorithms such as cuckoo algorithm, firefly algorithm and bat algorithm for small dimensions on various benchmark ...established ... See full document

... Nature inspired algorithms are going to be a new revolution in the field of computer science, transportation engineering, mechanical engineering, management and so ...to nature, computer ... See full document

... Immune Algorithms belong to the Artificial Immune Systems field of study related with computational methods motivated by the process and techniques of the biological immune ...the detection and elimination ... See full document

... intrusion detection systems (NIDSs) have a role of identifying malicious activities by monitoring the behavior of ...performance. Bio-Inspired Optimization Algorithms (BIOs) are used to ... See full document

... Abstract—Reichardt proposed the basic model of the fly’s vision such as the correlation-based Elementary Motion Detector (EMD). The different variants of this detector attached mathematical models to improve ... See full document

... This paper presents the performance comparison between the various soft computing techniques used for optimization of the PID controllers, implemented for speed control system for a DC motor. PID controllers are ... See full document

... problems. Nature inspired techniques like swarm intelligence, bio-inspired, physics/chemistry and many more have helped in solving difficult problems and also provide most favourable ... See full document

... PD generates acoustic waves in range of 20 kHz to 1 MHz.External system and internal system are two categories of acoustic detection techniques based on sensor location in transformer. External system is widely ... See full document

... optimization algorithms. In this paper, the nature inspired algorithms are used and analyzed for an optimal estimation of the location of sensor ...the nature inspired ... See full document

... scheduling algorithms are discussed from different points of view, such as static ...scheduling algorithms are compared and contrasted based on the make span, flow time, resource utilization and completion ... See full document

... using bio-inspired evolutionary algorithms like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Cuckoo Search (CS), FireFly (FF), Dragon Fly (DF) and Gravitational Search Algorithm ... See full document

... optimization algorithms that combines strengths of SFLA or PSO with strengths of GA, DE or ...hybrid algorithms are able to find optimal solutions quickly like SFLA or PSO and escape from local optima like ... See full document

... A rule-based classifier is a method for classifying examples using if ... then ... rules. On many problems rule learning systems outperform decision tree learners and one of the active techniques is Repeated Incremental ... See full document