Suchergebnisse - Intelligence binary bat algorithm detection

Automatic phishing website detection and prevention model using transformer deep belief network von Majgave, Amol Babaso, Gavankar, Nitin L.

“… This study's goal is to establish an automated system for the early detection and prevention of phishing websites, thereby enhancing online security and protecting users from cyber threats …”
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SI-BBA – A novel phishing website detection based on Swarm intelligence with deep learning von Pavan Kumar, Parvathapuram, Jaya, T., Rajendran, V.

“… In this proposed work, an improved version of Binary Bat namely Swarm Intelligence Binary Bat Algorithm is used for designing the neural network which categorize the network URL websites similar …”
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Binary bat algorithm based feature selection with deep reinforcement learning technique for intrusion detection system von Priya, S., Kumar, K. Pradeep Mohan

“… The new generation of Intrusion Detection Systems (IDS) progressively requires automatic and intellectual network ID strategies for managing security risks made by a rising amount of advanced attackers from the cyber environment …”
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Binary Bat Algorithm for text feature selection in news events detection model using Markov clustering von Al-Dyani, Wafa Zubair, Ahmad, Farzana Kabir, Kamaruddin, Siti Sakira

“… Hence, this study proposes a novel Binary Bat Algorithm (BBA) and Markov Clustering Algorithm (MCL …”
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Faulty processor identification for a multiprocessor system under the Malek model using an improved binary bat algorithm von Gui, Weixia, Pan, Fulai, Zhu, Dandan, Li, Feng

“… This paper proposes an improved binary bat algorithm to identify faulty processors in a multiprocessor system …”
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Lie detection using extreme learning machine: A concealed information test based on short‐time Fourier transform and binary bat optimization using a novel fitness function von Dodia, Shubham, Edla, Damodar R., Bablani, Annushree, Cheruku, Ramalingaswamy

“… Lie detection is one of the major challenges that is being faced by the forensic sciences …”
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Feature Selection for Image Steganalysis Using Binary Bat Algorithm von Liu, Feng, Yan, Xuehu, Lu, Yuliang

“… stego images from cover images using a nature-inspired feature selection method based on the binary bat algorithm(BBA …”
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Social bat optimisation dependent deep stacked auto-encoder for skin cancer detection von Majji, Ramachandro, Om Prakash, Ponnusamy Gnanaprakasam, Cristin, Rajan, Parthasarathy, Govindaswamy

“… Hence, this study introduces a new algorithm called social bat optimisation algorithm for skin cancer detection …”
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Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems von Barhoush, Malek, Abed-alguni, Bilal H., Al-qudah, Nour Elhuda A.

“… This paper presents the enhanced opposition-based learning salp swarm algorithm (EOSSA), which is an improved SSA algorithm for solving the FS problem in intrusion detection systems (IDS …”
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AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks von Li, Jiaqi, Zhao, Zhifeng, Li, Rongpeng, Zhang, Honggang

“… intelligently, which makes it hard to satisfy the requirements of SD-IoT networks. In this paper, we propose an artificial intelligence-based two-stage intrusion detection empowered by software defined technology …”
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Phishing website detection using support vector machines and nature-inspired optimization algorithms von Anupam, Sagnik, Kar, Arpan Kumar

“… A Support Vector Machine binary classifier trained on an existing dataset has been used to predict if a website was a legitimate website or not, by finding an optimum hyperplane to separate the two categories …”
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Weighted inertia-based dynamic virtual bat algorithm to detect NLOS nodes for reliable data dissemination in VANETs von Amuthan, A., Kaviarasan, R.

“… In this paper, a weighted inertia-based dynamic virtual bat algorithm (WIDVBA) is proposed for enhancing the characteristics of the traditional Virtual bat scheme that integrates the merits of simulated …”
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Intelligent feature selection method rooted in Binary Bat Algorithm for intrusion detection von Enache, Adriana-Cristina, Sgarciu, Valentin, Petrescu-Nita, Alina

“… In this paper we propose a wrapper feature selection approach that combines two machine learning algorithms with an improved version of the Binary Bat Algorithm …”
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Collaboration of features optimization techniques for the effective diagnosis of glaucoma in retinal fundus images von Singh, Law Kumar, Khanna, Munish, Thawkar, Shankar, Singh, Rekha

“… As a result, the results from this series of experiments are entirely novel.•The performance test of Bat Algorithm and Binary Cuckoo Search on two typical publicly accessible datasets demonstrates that they are highly efficient in glaucoma prediction …”
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Swarm Intelligence Algorithms: Modifications and Applications von Slowik, Adam

“… This chapter presents a nature-inspired ant colony optimization (ACO) technique, along with its modified variants. The improved versions of this optimization …”
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Adaptive Swarm Balancing Algorithms for rare-event prediction in imbalanced healthcare data von Li, Jinyan, Liu, Lian-sheng, Fong, Simon, Wong, Raymond K., Mohammed, Sabah, Fiaidhi, Jinan, Sung, Yunsick, Wong, Kelvin K. L.

“… minority. We investigate two different meta-heuristic algorithms, particle swarm optimization and bat algorithm, and apply them to empower the effects of synthetic minority over-sampling technique (SMOTE …”
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Enhanced intrusion detection system based on bat algorithm-support vector machine von Enache, Adriana-Cristina, Sgarciu, Valentin

“… Our approach improves the Support Vector Machine classifier by exploiting the advantages of a new swarm intelligence algorithm inspired by the environment of microbats (Bat Algorithm …”
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Optimal Fuzzy Logic Enabled Intrusion Detection for Secure IoT-Cloud Environment von Alrayes, Fatma, Alshuqayran, Nuha, Nour, Mohamed, Duhayyim, Mesfer, Abdullah, Mohamed, Atta, Amgad, Gouse Mohammed, Yaseen, Ishfaq

“… But the emergence of artificial intelligence (AI) techniques can be exploited for attack detection and classification in the IoT environment …”
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Effective key-frame extraction approach using TSTBTC–BBA von Singh, Yadwinder, Kaur, Lakhwinder

“… In this study, the advantages of Thepade's sorted ternary block truncation coding (TSTBTC) along with binary bat algorithm (BBA …”
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An immune intelligent approach for security assurance von Enache, Adriana-Cristina, Ionita, Mihai, Sgarciu, Valentin

“… The main contribution of this work is an anomaly based IDS model with active response that combines artificial immune systems and swarm intelligence with the SVM classifier. Test results for the NSL-KDD dataset prove the proposed approach can outperform the standard classifier in terms of attack detection rate and false alarm rate, while reducing the number of features in the dataset …”
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