Browsing School of Computer Science and Informatics by Title
Now showing items 256-275 of 2669
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A Basic Probability Assignment Methodology for Unsupervised Wireless Intrusion Detection
(Article)The broadcast nature of Wireless Local Area Networks (WLANs) has made them prone to several types of wireless injection attacks, such as Man-in-the-Middle (MitM) at the physical layer, deauthentication and rogue access ... -
A Bayesian approach to portfolios selection in multicriteria group decision making
(Article)In the a-posteriori approach to multicriteria decision making the idea is to first find a set of interesting (usually non-dominated) decision alternatives and then let the decision maker select among these. Often an ... -
Bayesian Estimation of A Periodically-Releasing Biochemical Source Using Sensor Networks
(Conference)This paper develops a Bayesian estimation method to estimate source parameters of a biochemical source using a network of sensors. Based on existing models of continuous and instantaneous releases, a model of discrete and ... -
A Behaviour Profiling Based Technique for Network Access Control Systems
(Article)The emergence of the Internet of Things (IoT) has lead to a tech- nological transformation that integrates several technologies to represent the future of computing and communications. IoT is the interconnection of internet ... -
Behavioural API based Virus Analysis and Detection
(Article)The growing number of computer viruses and the detection of zero day malware have been the concern for security researchers for a large period of time. Existing antivirus products (AVs) rely on detecting virus signatures ... -
Benchmark Functions for the CEC'2017 Competition on Many-Objective Optimization
(Technical Report)In the real world, it is not uncommon to face an optimization problem with more than three objectives. Such problems, called many-objective optimization problems (MaOPs), pose great challenges to the area of evolutionary ... -
Benchmark Functions for the CEC'2018 Competition on Many-Objective Optimization
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Benchmark generator for CEC 2009 competition on dynamic optimization
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A benchmark generator for dynamic permutation-encoded problems.
(Article)Several general benchmark generators (BGs) are available for the dynamic continuous optimization domain, in which generators use functions with adjustable parameters to simulate shifting landscapes. In the combinatorial ... -
Benchmark Generator for the IEEE WCCI-2012 Competition on Evolutionary Computation for Dynamic Optimization Problems
(Technical Report)Based on our previous benchmark generator for the IEEE CEC’09 Competition on Dynamic Optimization, this report updates the two benchmark instances where a new change type has been developed as well as a constraint to the ...