A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets by Insaf Kraidia, Afifa Ghenai, Samir Brahim Belhaouari

Subjects: “…Trending topic attacks…”
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Smart-blacklisting:an efficient methodology for mitigating fake block attack in P2P file-sharing systems by Ru-hao YAO, Bing-shuang LIU, De-shuai QU, Yuan ZHOU, Xin-hui HAN

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Predicting correlation relationships of entities between attack patterns and techniques based on word embedding and graph convolutional network by Weicheng QIU, Xiuzhen CHEN, Yinghua MA, Jin MA, Zhihong ZHOU

“…Threat analysis relies on knowledge bases that contain a large number of security entities.The scope and impact of security threats and risks are evaluated by modeling threat sources, attack capabilities, attack motivations, and threat paths, taking into consideration the vulnerability of assets in the system and the security measures implemented.However, the lack of entity relations between these knowledge bases hinders the security event tracking and attack path generation.To complement entity relations between CAPEC and ATT＆amp;CK techniques and enrich threat paths, an entity correlation prediction method called WGS was proposed, in which entity descriptions were analyzed based on word embedding and a graph convolution network.A Word2Vec model was trained in the proposed method for security domain to extract domain-specific semantic features and a GCN model to capture the co-occurrence between words and sentences in entity descriptions.The relationship between entities was predicted by a Siamese network that combines these two features.The inclusion of external semantic information helped address the few-shot learning problem caused by limited entity relations in the existing knowledge base.Additionally, dynamic negative sampling and regularization was applied in model training.Experiments conducted on CAPEC and ATT＆amp;CK database provided by MITRE demonstrate that WGS effectively separates related entity pairs from irrelevant ones in the sample space and accurately predicts new entity relations.The proposed method achieves higher prediction accuracy in few-shot learning and requires shorter training time and less computing resources compared to the Bert-based text similarity prediction models.It proves that word embedding and graph convolutional network based entity relation prediction method can extract new entity correlation relationships between attack patterns and techniques.This helps to abstract attack techniques and tactics from low-level vulnerabilities and weaknesses in security threat analysis.…”
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Designing Attack Surface in Early Childhood Education System Environment using Risk Assessment and Enterprise Architecture Approach by Dadang Setiawan, Dita Oktaria, Sidik Prabowo, Elizabeth Sastrina Indrasari

“…This research addresses the challenge of securing Indonesia’s early childhood education systems by designing a minimized attack surface through the integration of ISO 27005-based risk assessment and the TOGAF enterprise architecture framework. …”
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Adaptive Event-Triggered Control for Complex Dynamical Network with Random Coupling Delay under Stochastic Deception Attacks by M. Mubeen Tajudeen, M. Syed Ali, Syeda Asma Kauser, Khanyaluck Subkrajang, Anuwat Jirawattanapanit, Grienggrai Rajchakit

“…This study concentrates on adaptive event-triggered control of complex dynamical networks with unpredictable coupling delays and stochastic deception attacks. The adaptive event-triggered mechanism is used to avoid the wasting of limited bandwidth. …”
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A Comparative Analysis of Support Vector Machine and K-Nearest Neighbors Models for Network Attack Traffic Detection by Han Zhuoxi

“…With the continuous advancement of Internet technology, cybersecurity threats are growing more urgent as attack techniques become increasingly sophisticated. …”
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A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical Networks by Nouman Imtiaz, Abdul Wahid, Syed Zain Ul Abideen, Mian Muhammad Kamal, Nabila Sehito, Salahuddin Khan, Bal S. Virdee, Lida Kouhalvandi, Mohammad Alibakhshikenari

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Suppression model of energy sink-hole attack in WSN based on the unequal cluster radius and mobile cluster head by Wei-wei ZHOU, Bin YU

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Design a Robust DDoS Attack Detection and Mitigation Scheme in SDN-Edge-IoT by Leveraging Machine Learning by Habtamu Molla Belachew, Mulatu Yirga Beyene, Abinet Bizuayehu Desta, Behaylu Tadele Alemu, Salahadin Seid Musa, Alemu Jorgi Muhammed

“…Despite this, DDoS attacks through IoT botnets remain a significant threat. …”
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In search of a warning strategy against exchange-rate attacks: Forecasting tactics using artificial neural networks by A. S. Andreou, G. A. Zombanakis, E. F. Georgopoulos, S. D. Likothanassis

“…“Heart attacks and devaluations are not predictable and, certainly, are never preannounced”. …”
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Species and Termite Attack Intensity on Pine Trees in Nagari Talang Babungo, Solok District, West Sumatra Province by Desyanti Desyanti, Fauzan Fauzan, Zulhilda Yenti

“…The intensity of the termite attack was relatively low, with a percentage of lose weight by using graveyard test was 17.7%. …”
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DS-ARP: A New Detection Scheme for ARP Spoofing Attacks Based on Routing Trace for Ubiquitous Environments by Min Su Song, Jae Dong Lee, Young-Sik Jeong, Hwa-Young Jeong, Jong Hyuk Park

“…However, since it does not include security measures against malicious attacks, in its design, an attacker can impersonate another host using ARP spoofing or access important information. …”
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Preservation of Teak Sapwood by Cold Soaking Using Boron Against Drywood Termite (Cryptotermes cynocephalus Light.) Attacks. by Afif Sumaryanto, Sutjipto Achmad Hadikusumo, Ganis Lukmandaru

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Output Feedback-Based Fuzzy Event-Triggered Synchronization Control for Nonlinear Multiagent Systems Under DoS Attacks by Xiaoru Lan, Limin Hou

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A New Pipeline for Snooping Keystroke Based on Deep Learning Algorithm by Massimo Orazio Spata, Valerio Maria Russo, Alessandro Ortis, Sebastiano Battiato

Subjects: “…Acoustic side channel attack…”
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Cryptography algorithm for wireless channel of CBTC system by WANG Chao1, LIU Li-li1, NIU Zhi-hua2, SHI Xiang-yong1, ZHANG Huan-guo3

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Compressive Strength of Recycled Green Concrete Affected by Chloride and Sulfate Exposures by Md Roknuzzaman, Md Rahman

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Efficient anonymous password-based authenticated key exchange scheme by TAN Shi-chong, PANG Liao-jun, SU Wan-li, WANG Yu-min

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Survey on vertical federated learning: algorithm, privacy and security by Jinyin CHEN, Rongchang LI, Guohan HUANG, Tao LIU, Haibin ZHENG, Yao CHENG

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A Detection Method Against Load Redistribution Attacks in the Interdependence of the Natural Gas Network and Power System Based on Entropy by Yaoying Wang

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