Text Select-Backdoor: Selective Backdoor Attack for Text Recognition Systems by Hyun Kwon, Jang-Woon Baek

“…In a backdoor attack, an attacker employs a specific trigger to initiate the attack. …”
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Accurate detection of selective forwarding attack in wireless sensor networks by Qiong Zhang, Wenzheng Zhang

“…Selective forwarding attack in wireless sensor networks shows great impact on network performance and consumes limited energy resource. …”
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Hybridization of Swarm for Features Selection to Modeling Heart Attack Data by Omar Shakir, Ibrahim Saleh

“…In order to model the data, set in which the features were selected, it was proposed to use the boosting (Catboost) as a classifier for predicting heart attacks. …”
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Sybil-Resilient Publisher Selection Mechanism in Blockchain-Based MCS Systems by Ankit Agrawal, Ashutosh Bhatia, Kamlesh Tiwari

“…This article proposes a novel two-phase publisher selection mechanism to mitigate Sybil attacks in BMCS systems. …”
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Defense strategies selection based on attack-defense evolutionary game model by Jian-ming HUANG, Heng-wei ZHANG, Jin-dong WANG, Shi-rui HUANG

“…Due to that the current network security researches based on game theory mostly use the completely rationality assumption,which is not consistent with the facts.Under the bounded rationality constraint of network attack-defense,attack-defense evolutionary game model and a method to solve evolutionary stable equilibrium based on the non-cooperative evolutionary game theory was proposed.The optimal defense strategy selection algorithm was designed based on the analysis of the evolutionary stable strategy.The effectiveness of the model and method proposed is verified by simulation results,through which some evolution conclusions of offensive behavior on the premise of limited rationality were drawn.…”
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Research on filter-based adversarial feature selection against evasion attacks by Qimeng HUANG, Miaomiao WU, Yun LI

Subjects: “…adversarial feature selection…”
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Improving Attack Detection in IoV with Class Balancing and Feature Selection by Thierry Widyatama, Ifan Rizqa, Fauzi Adi Rafrastara

“…This study investigates the enhancement of detection efficiency for DoS and spoofing attacks in IoV by employing Ensemble Learning methods combined with feature selection techniques. …”
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Cyber-attacks to critical energy infrastructure and management issues: overview of selected cases by Tomas Plėta, Manuela Tvaronavičienė, Silvia Della Casa, Konstantin Agafonov

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A Comprehensive Analysis of Feature Selection and Classification Techniques for Web Attack Classification by Zaman Ahmed Razak Abdul Ali

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Selective Forwarding Attacks against Data and ACK Flows in Network Coding and Countermeasures by Yuanyuan Zhang, Marine Minier

“…In this paper, a well-known attack selective forwarding attack will be studied in network coding systems. …”
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An attack detection method based on deep learning for internet of things by Yihan Yu, Yu Fu, Taotao Liu, Kun Wang, Yishuai An

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Developing a hybrid feature selection method to detect botnet attacks in IoT devices by Alshaeaa H.Y., Ghadhban Z.M., Ministry of Education, Iraq

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A stacked ensemble approach to detect cyber attacks based on feature selection techniques by Wahida Ferdose Urmi, Mohammed Nasir Uddin, Md Ashraf Uddin, Md. Alamin Talukder, Md. Rahat Hasan, Souvik Paul, Moumita Chanda, John Ayoade, Ansam Khraisat, Rakib Hossen, Faisal Imran

“…However, the effectiveness of CADS is highly dependent on selecting pertinent features. This research evaluates the impact of three feature selection techniques—Recursive Feature Elimination (RFE), Mutual Information (MI), and Lasso Feature Selection (LFS)—on CADS performance. …”
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MACHINE LEARNING BASED STRATEGY FOR MITM ATTACK MITIGATION UTILIZING HYBRID FEATURE SELECTION by Pratik Kumar Swain, Suneeta Satpathy, Srinivasa Rao Pokuri

“…Effective detection techniques are necessary due to the considerable threat posed by Man-in-the-Middle (MITM) attacks to network security. This study integrates machine learning classification, dimensionality reduction, and hybrid feature selection to present a novel approach for MITM threat identification. …”
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Round reduction-based fault attack on SM4 algorithm by Min WANG, Zhen WU, Jin-tao RAO, Hang LING

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Intelligent Cyber-Attack Detection in IoT Networks Using IDAOA-Based Wrapper Feature Selection by Mohammed Abdullah, Ryna Svyd

“… ABSTRACT: In the realm of cybersecurity, the increasing sophistication of cyber-attacks demands the creation of sophisticated intrusion detection systems (IDS) designed to accurately detect and counteract threats in real-time. …”
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Website defense strategy selection method based on attack-defense game and Monte Carlo simulation by Hao WU, Jiulun FAN, Chengzhe LAI, Jianhua LIU

“…Aiming at the selection of security defense strategy in network attack-defense,the dynamic change process of mutual influence between attack-defense strategy was studied.Based on the game process of both offense and defense,the attack-defense game model was constructed,the attack process of the attacker based on Monte Carlo simulation was simulated and the attacker’s best attack utility was obtained,so as to calculate the best defensive utility of the defender.In order to maximize the effectiveness of network security defense,the optimal defense strategy under limited resources was implemented.Simulation experiments verify the effectiveness of the proposed method and analyze the influence of different parameter settings on the selection of defense strategy.…”
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Intelligent intrusion detection system based on crowd search optimization for attack classification in network security by Chetan Gupta, Amit Kumar, Neelesh Kumar Jain

“…In comparison to the various state-of-the-art classifiers, the CSO method was applied to the NSL-KDD dataset and the ROSPaCe dataset for the detection of the attacks. In the proposed work, we have used a random forest technique to perform feature selection (FS) to improve the effectiveness and efficiency of intrusion detection. …”
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Real-Time Power System Event Detection: A Novel Instance Selection Approach by Gabriel Intriago, Yu Zhang

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RF-RFE-SMOTE: A DoS And DDoS Attack Detection Framework by Nora Rashid Najam, Razan Abdulhammed Abduljawad

“…Many efforts are being put into developing defenses against these types of attacks. The tools used by attackers to perform these types of attacks increase day-to-day. …”
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