Advanced cloud intrusion detection framework using graph based features transformers and contrastive learning by Vijay Govindarajan, Junaid Hussain Muzamal

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Assessment methodology for security of an automated control system of critical information infrastructure against DDoS attacks based on Monte Carlo simulation by V. A. Voevodin, V. S. Chernyaev, D. S. Burenok, I. V. Vinogradov

“…A possible direction for further research is to study the issue of computer network security, taking into account the features of a specific topology.…”
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Trust-Based Anomaly Detection in Emerging Sensor Networks by Renyong Wu, Xue Deng, Rongxing Lu, Xuemin (Sherman) Shen

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Towards edge-collaborative, lightweight and privacy-preserving classification framework by Jinbo XIONG, Yongjie ZHOU, Renwan BI, Liang WAN, Youliang TIAN

“…Aiming at the problems of data leakage of perceptual image and computational inefficiency of privacy-preserving classification framework in edge-side computing environment, a lightweight and privacy-preserving classification framework (PPCF) was proposed to supports encryption feature extraction and classification, and achieve the goal of data transmission and computing security under the collaborative classification process of edge nodes.Firstly, a series of secure computing protocols were designed based on additive secret sharing.Furthermore, two non-collusive edge servers were used to perform secure convolution, secure batch normalization, secure activation, secure pooling and other deep neural network computing layers to realize PPCF.Theoretical and security analysis indicate that PPCF has excellent accuracy and proved to be security.Actual performance evaluation show that PPCF can achieve the same classification accuracy as plaintext environment.At the same time, compared with homomorphic encryption and multi-round iterative calculation schemes, PPCF has obvious advantages in terms of computational cost and communication overhead.…”
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The Human Voice as a Digital Health Solution Leveraging Artificial Intelligence by Pratyusha Muddaloor, Bhavana Baraskar, Hriday Shah, Keerthy Gopalakrishnan, Divyanshi Sood, Prem C. Pasupuleti, Akshay Singh, Dipankar Mitra, Sumedh S. Hoskote, Vivek N. Iyer, Scott A. Helgeson, Shivaram P. Arunachalam

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Lightweight Blockchain for Data Integrity and Traceability in IoT Networks by Laura Garcia, Carlos Cancimance, Rafael Asorey-Cacheda, Claudia-Liliana Zuniga-Canon, Antonio-Javier Garcia-Sanchez, Joan Garcia-Haro

“…In this regard, blockchain is a promising solution to enhance IoT security, but the implementation of a conventional blockchain requires high computational and network connectivity resources that are not compatible with IoT networks. …”
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Echoes From the Void: Detecting DNS Tunneling With Blackhole Features in Encrypted Scenarios With High Accuracy by Wafa S. Alorainy

“…Integration within existing security information and event management (SIEM) systems or DNS infrastructures implies API compatibility, scaling for heterogeneous networks, and minimizing the disruption of established workflow. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…Abstract The rapid proliferation of Internet of Things (IoT) devices has significantly expanded the network attack surface, necessitating the deployment of advanced AI (artificial intelligence)-based intrusion detection systems (IDS) to bolster IoT security. …”
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Chaos-based audio encryption: Efficacy of 2D and 3D hyperchaotic systems by Thejas Haridas, Upasana S.D., Vyshnavi G., Malavika S. Krishnan, Sishu Shankar Muni

“…Secure communication in the digital age is necessary; securing audio data becomes very critical since this is normally transmitted across susceptible networks. …”
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Dual Attention Equivariant Network for Weakly Supervised Semantic Segmentation by Guanglun Huang, Zhaohao Zheng, Jun Li, Minghe Zhang, Jianming Liu, Li Zhang

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A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques by Yuanyuan Wang, Fangfang Wang, Zixin Qin, Yongcheng Fu, Jingyue Wang, Shangkun Li, Da Zhang

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DANNET: deep attention neural network for efficient ear identification in biometrics by Deepthy Mary Alex, Kalpana Chowdary M., Hanan Abdullah Mengash, Venkata Dasu M., Natalia Kryvinska, Chinna Babu J., Ajmeera Kiran

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Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection by Alebachew Chiche, Million Meshesha

“…Therefore, security experts are recommended to integrate intrusion detection in their network and computer systems, not only for well-being of their computer systems but also for the sake of improving their working process.…”
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A Survey for Blockchain-Enabled Resource Management in Edge Networks by Sharon A. Boamah, Jean D. Louis, Janise McNair, Juan E. Gilbert

“…Blockchain, with its growing popularity, presents itself as a potential solution. The inherent features of blockchain, such as decentralization, transparency, security, and immutability, make it possible for network providers to manage network resources efficiently. …”
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Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

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Cancelable speaker identification system for the handicapped access to healthcare networks by Samia A. El-Moneim Kabel, Walid El-Shafai, Naglaa F. Soliman, Reem Alkanhel, Fathi E. Abd El-Samie

“…While these results demonstrate the potential effectiveness of the framework for securing networks through cancelable biometrics and fast processing time, the study does not include an evaluation of computational complexity and scalability in resource-constrained IoT environments. …”
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An Explainable Deep Learning Framework for Sorghum Weed Classification Using Multi-Scale Feature Enhanced DenseNet by Armaano Ajay, S. Sandosh, Aryan Saji, Harsh Agarwal

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Metode Deteksi Intrusi Menggunakan Algoritme Extreme Learning Machine dengan Correlation-based Feature Selection by Sulandri Sulandri, Achmad Basuki, Fitra Abdurrachman Bachtiar

“…Abstract Intrusion detection of computer networks is a very important activity carried out to maintain data and information security. …”
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Distracted driver behavior recognition using modified capsule networks by Jimmy Abdel Kadar, Margareta Aprilia Kusuma Dewi, Endang Suryawati, Ana Heryana, Vicky Zilfan, Budiarianto Suryo Kusumo, Raden Sandra Yuwana, Ahmad Afif Supianto, Hasih Pratiwi, Hilman Ferdinandus Pardede

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Dual decoding generative adversarial networks for infrared image enhancement by Yang Yu, Lin Jiang, Qijun Hu, Qijie Cai, Qiang Zeng, Xin Sun

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