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International Conference on Computing and Networking Technology (ICCNT)

作者： Prabu Jayant M Prathica Shetty S Jeevan Mohana Minal Moharir A R Ashok Kumar Computer Science and Engineering (Cyber Security) RV College of Engineering® Bengaluru India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Network Intrusion Detection system (NIDS) helps in detecting the traffic and avoids any potential harm to the system. LSTM is a deep learning model architecture that uses recurrent neural networks (RNN) for handling sequential data. Unlike traditional IDS that depend on fixed signatures, LSTMs can interpret network traffic patterns and detect anomalies that indicate new attack methods. This flexibility makes it more effective against evolving cyber threats. While traditional IDS may only detect malicious activity, LSTMs can predict the specific type of attack by analyzing traffic sequences. This improved accuracy enables quicker and more targeted response strategies to prevent cyber threats. LSTMs have the capability to analyze network traffic data in real-time, allowing for immediate threat identification. The obtained accuracy and F1 score of the model are ${9 2. 8 3 \%}$ and ${9 4. 2 5 \%}$ respectively. This real-time analysis enables faster response times and classification of cyberattacks, reducing the potential impact of any security breaches.

关键词： Deep learning Accuracy Recurrent neural networks Telecommunication traffic Real-time systems Threat assessment Time factors computer crime Protection Long short term memory

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Secure and efficient covert communication for blockchain-integrated SAGINs

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security and Safety 2024年第2期3卷 25-42页

作者： Weijia Li Yuan Zhang Xinyu He Yaqing Song School of Computer Science and Engineering(School of Cyber Security) University of Electronic Science and Technology of ChinaChengdu 611731China

Blockchain has brought great potential in improving Space-Air-Ground Integrated Networks(SAGINs)in terms of security and *** blockchain-integrated SAGINs,many applications and services inherently require both the communication contents and communication behaviors to be secure against eavesdroppers,in which a covert communication algorithm is always deployed as a fundamental communication ***,existing covert communication schemes suffer from critical *** the one hand,they require a sender to locally maintain a cryptographic key for a long period of time,which is very costly and inefficient to renew which means renewing the secret *** the other hand,the ciphertext of covertly sent data would explicitly appear in the network,and thereby the schemes are vulnerable to secret key *** this paper,we propose a secure and efficient covert communication scheme for blockchain-integrated SAGINs,dubbed CC-BSAGINs,to free the sender from maintaining secret *** key technique is to map the covertly sent data to some transactions on the underlying blockchain in a secure and efficient way;the mapping information is sent via a covert communication *** a two-step mechanism releases the sender from key management and does not require the ciphertext to be *** provide formal security proofs and conduct a comprehensive performance evaluation,which demonstrates the security and efficiency of CC-BSAGINs.

关键词： Covert communication blockchain Space-Air-Ground Integrated Networks

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Tracking Objects and Activities with Attention for Temporal Sentence Grounding 48

Tracking Objects and Activities with Attention for Temporal ...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Xiong, Zeyu Liu, Daizong Zhou, Pan Zhu, Jiahao Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering China Peking University Wangxuan Institute of Computer Technology China

ISBN: (纸本)9781728163277

Temporal sentence grounding (TSG) aims to localize the temporal segment which is semantically aligned with a natural language query in an untrimmed video. Most existing methods extract frame-grained features or object-grained features by 3D ConvNet or detection network under a conventional TSG framework, failing to capture the subtle differences between frames or to model the spatio-temporal behavior of core persons/objects. In this paper, we introduce a new perspective to address the TSG task by tracking pivotal objects and activities to learn more fine-grained spatio-temporal behaviors. Specifically, we propose a novel Temporal Sentence Tracking Network (TSTNet), which contains (A) a Cross-modal Targets Generator to generate multi-modal templates and search space, filtering objects and activities, and (B) a Temporal Sentence Tracker to track multi-modal targets for modeling the targets' behavior and to predict query-related segment. Extensive experiments and comparisons with state-of-the-arts are conducted on challenging benchmarks: Charades-STA and TACoS. And our TSTNet achieves the leading performance with a considerable real-time speed. © 2023 IEEE.

关键词： computer vision

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IoMT-Based Healthcare Framework for Ambient Assisted Living Using a Convolutional Neural Network

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computers, Materials & Continua 2023年第3期74卷 6867-6878页

作者： Waleed T.Al-Sit Nidal A.Al-Dmour Taher M.Ghazal Ghassan F.Issa Department of Computer Engineering Mutah UniversityAl-KarakJordanHigher Colleges of TechnologyDubaiUAE Department of Computer Engineering College of EngineeringMutah UniversityJordan School of Information Technology Skyline University CollegeUniversity City SharjahSharjahUAE Center for Cyber Security Faculty of Information Science and TechnologyUKM43600BangiSelangorMalaysia

In the age of universal computing,human life is becoming smarter owing to the recent developments in the Internet of Medical Things(IoMT),wearable sensors,and telecommunication innovations,which provide more effective and smarter healthcare *** has the potential to shape the future of clinical research in the healthcare *** sensors,patients,healthcare providers,and caregivers can connect through an IoMT network using software,information,and communication *** assisted living(AAL)allows the incorporation of emerging innovations into the routine life events of *** learning(ML)teaches machines to learn from human experiences and to use computer algorithms to“learn”information directly instead of relying on a *** the sample size accessible for learning increases,the performance of the algorithms *** paper proposes a novel IoMT-enabled smart healthcare framework for AAL to monitor the physical actions of patients using a convolutional neural network(CNN)algorithm for fast analysis,improved decision-making,and enhanced treatment *** simulation results showed that the prediction accuracy of the proposed framework is higher than those of previously published approaches.

关键词： Smart healthcare system neural network machine learning

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Advancements in Operational Transconductance Amplifiers (OTAs) for Design, Applications & Performance Optimization Techniques with Hardware Implementation 3

Advancements in Operational Transconductance Amplifiers (OTA...

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3rd IEEE International Conference of Electron Devices Society Kolkata Chapter, EDKCON 2024

作者： Pramath, V. Pavithra, G. Ninawe, Swapnil S. Manjunath, T.C. Bengaluru India Dayananda Sagar College of Engineering Department of Electronics & Communication Engineering Karnataka Bangalore India Rajarajeswari College of Engineering Department of Computer Science & Engineering IoT Cyber Security & Block Chain Technology Karnataka Bangalore India

ISBN: (纸本)9798350374643

This research paper presents the design and simulation of a novel architecture for Multiple Path Fully Differential Operational Transconductance Amplifiers (OTAs) with a Dual Flipped Voltage Follower, specifically developed for VLSI-based signal processing applications. Utilizing advanced 50nm CMOS technology and Cadence tools, the proposed OTA architecture achieves enhanced performance and versatility in handling various signal processing tasks. Design employs multiple signal paths, which contribute to improvements in bandwidth, gain, and linearity, while also effectively minimizing common-mode noise. This multi-path approach ensures better signal integrity and reliability in high-performance applications. The integration of the Dual Flipped Voltage Follower further strengthens the OTA's stability and dynamic range, allowing it to operate seamlessly in high-speed VLSI systems. The architecture is designed to cater to the rigorous demands of modern signal processing, where precision and speed are critical. Extensive simulation studies were conducted to validate the OTA design, and the results demonstrate that the proposed approach meets or exceeds the stringent requirements of today's signal processing applications. Findings of this research contribute to the ongoing advancements in VLSI design methodologies and provide a promising solution for engineers working with nanoscale CMOS technologies. Simulation results using Cadence tools highlights effectiveness and robustness of proposed design. © 2024 IEEE.

关键词： CMOS integrated circuits

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Targeted Anonymization: A Face Image Anonymization Method for Unauthorized Models

Targeted Anonymization: A Face Image Anonymization Method fo...

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2022 IEEE International Conference on Multimedia and Expo, ICME 2022

作者： Ding, Kangyi Hu, Teng Liu, Xiaolei Niu, Weina Wang, Yanping Zhang, Xiaosong School of Computer Science and Engineering Institute for Cyber Security University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

As an important biometric feature of every person, face data has faced serious risks of leakage in recent years. Lawbreakers can use face recognition systems (FRS) to analyze the leaked face data and then correlate other private information, causing serious privacy leaks. For security reasons, we hope our face images can only be recognized by the organizations' authorized models. To achieve this goal, this work proposes a targeted face image anonymization method that only enables anonymization for unauthorized facial recognition models, whilst authorized models, human eyes can still accurately recognize faces. Our method mainly uses transfer-based adversarial attacks to achieve anonymization. On this basis, we propose constraints for generating targeted anonymization samples and boundary walking strategy, focusing on improving the anonymization for unauthorized models while guaranteeing the accurate recognition of authorized models. Local experiments prove that our method can reduce the recognition probability of unauthorized models while guaranteeing the correctness of authorized models. Finally, we apply our approach to an online face recognition API and experimentally demonstrate that our approach can significantly reduce the recognition accuracy of the commercial face recognition model. © 2022 IEEE.

关键词： Face recognition

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ANIMC: A Soft Approach for Autoweighted Noisy and Incomplete Multiview Clustering

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2022年第2期3卷 192-206页

作者： Fang, Xiang Hu, Yuchong Zhou, Pan Wu, Dapeng Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering The School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Information Storage System Ministry of Education of China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611 United States

Multiview clustering has wide real-world applications because it can process data from multiple sources. However, these data often contain missing instances and noises, which are ignored by most multiview clustering methods. Missing instances may make these methods difficult to use directly, and noises will lead to unreliable clustering results. In this article, we propose a novel autoweighted noisy and incomplete multiview clustering (ANIMC) approach via a soft autoweighted strategy and a doubly soft regular regression model. First, by designing adaptive semiregularized nonnegative matrix factorization, the soft autoweighted strategy assigns a proper weight to each view and adds a soft boundary to balance the influence of noises and incompleteness. Second, by proposing θ-norm, the doubly soft regularized regression model adjusts the sparsity of our model by choosing different θ. Compared with previous methods, ANIMC has three unique advantages: 1) it is a soft algorithm to adjust our approach in different scenarios, thereby improving its generalization ability;2) it automatically learns a proper weight for each view, thereby reducing the influence of noises;3) it performs doubly soft regularized regression that aligns the same instances in different views, thereby decreasing the impact of missing instances. Extensive experimental results show its superior advantages over other state-of-the-art works. © 2020 IEEE.

关键词： Clustering algorithms

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An Industrial Robot Path Planning Method Based on Improved Whale Optimization Algorithm 1

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18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023

作者： Huang, Peixin Dong, Chen Chen, Zhenyi Zhen, Zihang Jiang, Lei College of Computer and Data Science Fuzhou University Fuzhou350116 China Fuzhou China Department of Computer Science and Engineering University of South Florida TampaFL33620 United States College of Computer and Cyber Security Fujian Normal University Fuzhou350007 China

ISBN: (数字)9789819998937

ISBN: (纸本)9789819998920

With the development of technology, robots are gradually being used more and more widely in various fields. Industrial robots need to perform path planning in the course of their tasks, but there is still a lack of a simple and effective method to implement path planning in complex industrial scenarios. In this paper, an improved whale optimization algorithm is proposed to solve the robot path planning problem. The algorithm initially uses a logistic chaotic mapping approach for population initialization to enhance the initial population diversity, and proposes a jumping mechanism to help the population jump out of the local optimum and enhance the global search capability of the population. The proposed algorithm is tested on 12 complex test functions and the experimental results show that the improved algorithm achieves the best results in several test functions. The algorithm is then applied to a path planning problem and the results show that the algorithm can help the robot to perform correct and efficient path planning. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Industrial robots

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A Proposed Approach for Risk Planning and Management 25

A Proposed Approach for Risk Planning and Management

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25th International Arab Conference on Information Technology, ACIT 2024

作者： Al Refai, Mohammed N. Al-Smadi, Yazan Al-Momani, Adai Jamhawi, Zeyad M. Otoom, Ahmed Ali Atoum, Issa Yaseen, Ahid Ababneh, Jafar Kanan, Mohammad Zarqa University Software Engineering Dep. Zarqa Jordan Zarqa University Department of Computer Science Zarqa Jordan Applied Science Private University Department of Computer Science Amman Jordan Applied Science Private University Department of Cyber Security Amman Jordan Philadelphia University Faculty of Information Technology Software Engineering Department Jordan Zarqa University Department of Cyber Security Zarqa Jordan University of Business and Technelogy Dep. of Industry Engineering Jeddah21432 Saudi Arabia

ISBN: (纸本)9798331540012

Project Risk management is the process of identifying, evaluating, avoiding, or reducing risks. Where there is no software project without risks existence are natural in the context of project planning and management. This study focuses on proposing an enhanced risk management approach where testing phases were added to make the risk management process more effective by proposing solutions to many mistakes and challenges that occur through dealing with risks. The proposed approach focuses on dealing with risks that cannot be easily defined, more accurate risk evaluation, planning, and managing risk coordinated with a contingency plan. © 2024 IEEE.

关键词： Project management

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PtrProxy:Efficient Code Re-Randomization on AArch64 Platform

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China Communications 2025年第6期22卷 64-82页

作者： Luo Chenke Fu Jianming Ming Jiang Xie Mengfei Peng Guojun Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of EducationSchool of Cyber Science and EngineeringWuhan UniversityWuhan 430072China Department of Computer Science Tulane UniversityNew OrleansLA 70118 USA

Memory-unsafe programming languages,such as C/C++,are often used to develop system programs,rendering the programs susceptible to a variety of memory corruption *** these threats,just-in-time return-oriented programming(JIT-ROP)stands out as an advanced method for conducting code-reuse attacks,effectively circumventing code randomization ***-ROP leverages memory disclosure vulnerabilities to obtain reusable code fragments dynamically and assemble malicious payloads *** response to JIT-ROP attacks,several re-randomization implementations have been developed to prevent the use of disclosed ***,existing re-randomization methods require recurrent re-randomization during program runtime according to fixed time windows or specific events such as system calls,incurring significant runtime *** this paper,we present the design and implementation of PtrProxy,an efficient re-randomization approach on the AArch64 *** previous methods that necessitate frequent runtime rerandomization or reply on unreliable triggering conditions,this approach triggers the re-randomization process by detecting the code page harvest operation,which is a fundamental operation of the JIT-ROP at-tacks,making our method more efficient and reliable than previous *** evaluate PtrProxy on benchmarks and real-world *** evaluation results show that our approach can effectively protect programs from JIT-ROP attacks while introducing marginal runtime overhead.

关键词： code reuse attacks re-randomization return-oriented programming security and privacy software security

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