Artificial intelligence in the cyber domain: Offense and defense

TC Truong, QB Diep, I Zelinka - Symmetry, 2020 - mdpi.com
Artificial intelligence techniques have grown rapidly in recent years, and their applications in
practice can be seen in many fields, ranging from facial recognition to image analysis. In the …

Behavior of crossover operators in NSGA-III for large-scale optimization problems

JH Yi, LN Xing, GG Wang, J Dong, AV Vasilakos… - Information …, 2020 - Elsevier
Traditional multi-objective optimization evolutionary algorithms (MOEAs) do not usually meet
the requirements for online data processing because of their high computational costs. This …

Email spam detection using integrated approach of Naïve Bayes and particle swarm optimization

K Agarwal, T Kumar - 2018 Second International Conference …, 2018 - ieeexplore.ieee.org
Now-a-days, communication through email has become one of the cheapest and easy ways
for the official and business users due to easy availability of internet access. Most of the …

Machine Learning‐Based Detection of Spam Emails

ZB Siddique, MA Khan, IU Din, A Almogren… - Scientific …, 2021 - Wiley Online Library
Social communication has evolved, with e‐mail still being one of the most common
communication means, used for both formal and informal ways. With many languages being …

Bidirectional gated temporal convolution with attention for text classification

J Ren, W Wu, G Liu, Z Chen, R Wang - Neurocomputing, 2021 - Elsevier
In text classification models based on deep learning, feature extraction and feature
aggregation are two key steps. As one of the basic feature extraction methods, CNN has …

An improved twin support vector machine based on multi-objective cuckoo search for software defect prediction

Y Cao, Z Ding, F Xue, X Rong - International Journal of Bio …, 2018 - inderscienceonline.com
Recently, software defect prediction (SDP) has drawn much attention as software size
becomes larger and consumers hold higher reliability expectations. The premise of SDP is …

[PDF][PDF] Hybrid feature selection and ensemble learning method for spam email classification

DM Ablel-Rheem, AO Ibrahim, S Kasim… - International …, 2020 - researchgate.net
The data mining techniques produce good work in many domains. The spam emails are
becoming a serious dilemma and an important matter to have different solutions, and …

Email spam detection using bidirectional long short term memory with convolutional neural network

SE Rahman, S Ullah - 2020 IEEE Region 10 Symposium …, 2020 - ieeexplore.ieee.org
Communication over email in this era of Internet has become very popular on account of its
being cheap and easy to use for messaging and sharing important information to others. But …

Cuckoo search: state-of-the-art and opportunities

XS Yang, S Deb - 2017 IEEE 4th international conference on …, 2017 - ieeexplore.ieee.org
Since the development of cuckoo search (CS) by Yang and Deb in 2009, CS has been
applied in a diverse range of applications. This paper first outlines the key features of the …

Visual and textual features based email spam classification using S-Cuckoo search and hybrid kernel support vector machine

T Kumaresan, S Saravanakumar, R Balamurugan - Cluster Computing, 2019 - Springer
Spam mail classification has been playing a vital role in recent days due to the
uncontrollable growth happening in the electronic media. Literature presents several …