Computers & Electrical Engineering最新文献_第5页

Leveraging Memory Forensic Features for Explainable Obfuscated Malware Detection with Isolated Family Distinction Paradigm

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-02-17 DOI: 10.1016/j.compeleceng.2025.110107

S.P. Sharmila , Shubham Gupta , Aruna Tiwari , Narendra S. Chaudhari

{"title":"Leveraging Memory Forensic Features for Explainable Obfuscated Malware Detection with Isolated Family Distinction Paradigm","authors":"S.P. Sharmila , Shubham Gupta , Aruna Tiwari , Narendra S. Chaudhari","doi":"10.1016/j.compeleceng.2025.110107","DOIUrl":"10.1016/j.compeleceng.2025.110107","url":null,"abstract":"<div><div>In the IoT edge computing era, inevitable and ubiquitous presence of the internet is opening the door for numerous cyberattacks. Obfuscated malware adds layers of difficulty to detect complex modern cyber attacks by evading AI-enabled Next-Generation Anti-Virus (NGAV) scanners and breaching digital privacy. To tackle this problem, in this paper, we propose “Augmented Sparse Projection Oblique Random Forest (AugSPORF)”, an Explainable sparse projections based Oblique Random Forest (ORF) with Isolated Family Distinction (IFD) Paradigm to detect multiple obfuscated malware belonging to Spyware, Ransomware, and Trojan families effectively. Irrespective of obfuscation, malware variants possess common behavior and family traits aligned with their families and leave traces in the memory on execution. To begin with this motivation, we handle the huge dimension of memory forensic features with sparse random projections. Next, we perform feature importance aware training with ORF to learn inherent behavioral features of malware families by isolating the target family, and distinguishing with other families. Further, the model’s scalability is assessed by increasing the number of malware families. To offer an insightful conclusion on the predictions, an Interpretable Machine Learning (IML) layer is interleaved to generate a report of explanations, thereby enhancing the interpretability of the model. The proposed approach yields an average accuracy of 96.76%, 96.45%, and 97.33% in detecting sub-families of Spyware, Ransomware, and Trojan respectively. Improved accuracy is also demonstrated by benchmarking the performance of AugSPORF on UCI repository datasets.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110107"},"PeriodicalIF":4.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wavelet-enhanced TEM1Dformer denoising network to reduce noise in TEM signals

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-02-16 DOI: 10.1016/j.compeleceng.2025.110136

Tingye Qi , Dawei Pan , Guorui Feng , Duxi Song , Haochen Wang , Zhicheng Zhang

{"title":"Wavelet-enhanced TEM1Dformer denoising network to reduce noise in TEM signals","authors":"Tingye Qi , Dawei Pan , Guorui Feng , Duxi Song , Haochen Wang , Zhicheng Zhang","doi":"10.1016/j.compeleceng.2025.110136","DOIUrl":"10.1016/j.compeleceng.2025.110136","url":null,"abstract":"<div><div>Transient electromagnetic method is widely used in the field of geophysical exploration. But the interference of noise poses a challenge to the accurate analysis and application of TEM signals, so it is necessary to denoise the signal. However, the signal processing capability of the existing EMD-like and VMD-like methods traditional methods is insufficient. In addition, the smoothness constraints of denoising results of signals processed only by the deep learning method is poor, and it cannot be effectively expressed on field signals. To solve these problems, this paper proposes a Wavelet-Enhanced TEM1Dformer Denoising Network (WE-TEM1Dformer) to improve the smoothness constraints of signal processing and signal adaptability. The wavelet thresholding algorithm is a preprocessing step to model the global correlation of signal features using the Transformer module that introduces a local attention mechanism. After comparison and verification, this method enhances the processing capability of non-smooth features, improves the accuracy and robustness of TEM field signal denoising. The experimental validation is carried out in the field of an iron ore geological exploration area in the central region of China, and the results show that the data interpretation accuracy of the WE-TEM1Dformer network is effectively improved, and the validity and accuracy of the present model are better verified.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110136"},"PeriodicalIF":4.0,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy efficient anchor zone based routing protocol for IoT networks

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-02-16 DOI: 10.1016/j.compeleceng.2025.110144

Naveen Kumar Gupta , Garima , Rama Shankar Yadav , Rajendra Kumar Nagaria

{"title":"Energy efficient anchor zone based routing protocol for IoT networks","authors":"Naveen Kumar Gupta , Garima , Rama Shankar Yadav , Rajendra Kumar Nagaria","doi":"10.1016/j.compeleceng.2025.110144","DOIUrl":"10.1016/j.compeleceng.2025.110144","url":null,"abstract":"<div><div>The day-to-day applications of the Internet of Things (IoT) in three-dimensional (3D) resource constrained IoT networks usually involve a transfer of data from several intermediary nodes. Where the unavailability of an efficient routing path leads to consumption of energy at nodes. In addition to this, it has been found that the nodes may get stuck at points where no path is available in the forward direction, while dealing with data transfer in a large geographical space. The non-availability of the forward path leads to the creation of void node problem (VNP). However, the literature revealed that the anchor-based methods are utilized to detour from VNP, but this leads to the overloading of the anchor node when multiple sources traverse the same path. So, this paper proposes a novel energy-efficient anchor zone-based routing (EAZR) protocol, where, the traffic passes through different nodes of the anchor zone rather than a single anchor node. The proposed protocol effectively divides the traffic among multiple nodes based on residual energy and this minimizes the energy consumption during data transmission in 3D resource-constrained IoT networks. This proposed method has been implemented using OMNET++ simulator and obtained simulation results have shown its supremacy over existing state-of-art techniques in terms of energy consumption, network lifetime, and other quality of service (QoS) parameters.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110144"},"PeriodicalIF":4.0,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Driving cycle-centric design optimization and experimental validation of high torque density outer rotor 8/18 MTSRM for an E-Bike

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-02-16 DOI: 10.1016/j.compeleceng.2025.110180

Sandesh Bhaktha B , Satyam Sarma , M. Vamshik , Jeyaraj Pitchaimani , K.V. Gangadharan

{"title":"Driving cycle-centric design optimization and experimental validation of high torque density outer rotor 8/18 MTSRM for an E-Bike","authors":"Sandesh Bhaktha B , Satyam Sarma , M. Vamshik , Jeyaraj Pitchaimani , K.V. Gangadharan","doi":"10.1016/j.compeleceng.2025.110180","DOIUrl":"10.1016/j.compeleceng.2025.110180","url":null,"abstract":"<div><div>This paper presents an innovative methodology for optimizing the design parameters of a 500 W low-speed outer rotor switched reluctance motor (OR-SRM) for an electric bicycle (E-bike) in accordance with a driving cycle. Design optimization of SRMs based on driving cycles has been minimally explored in the literature, with all existing research focusing exclusively on high-speed electric vehicle (EV) applications. These studies utilized computationally intensive dynamic current analysis methods to account for the significant dynamic effects incurred. Given the E-bike's low-speed characteristics, the present study mitigates the computational load of design optimization through static current analysis. A high torque density 8/18 OR-multi-teeth (MT) SRM topology has been proposed. The benefits of this topology, such as mass, cost, torque ripple reductions, and improved torque density, have been highlighted through a comparison with a conventional 6/10 OR-SRM topology. The reliability of the finite element analysis models used in this study is validated through experiments conducted on an 8/18 OR-MTSRM prototype. The multi-objective design optimization aims to maximize starting torque and minimize torque ripple and electromagnetic losses throughout the driving cycle. The efficacy of the optimization is confirmed by the enhancement in the performance parameters of the optimal design compared to the preliminary design.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110180"},"PeriodicalIF":4.0,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An adaptive dual phase shift controller for the dual active bridge converter applied in active power transmission and control of microgrid

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-02-15 DOI: 10.1016/j.compeleceng.2025.110183

Anupam Kumar , Hiramani Shukla , Diwaker Pathak , Subhanarayan Sahoo , Shubhendra Pratap Singh

{"title":"An adaptive dual phase shift controller for the dual active bridge converter applied in active power transmission and control of microgrid","authors":"Anupam Kumar , Hiramani Shukla , Diwaker Pathak , Subhanarayan Sahoo , Shubhendra Pratap Singh","doi":"10.1016/j.compeleceng.2025.110183","DOIUrl":"10.1016/j.compeleceng.2025.110183","url":null,"abstract":"<div><div>To meet the efficient energy conversion in dual active bridge (DAB) converter-based microgrids, an optimum duty ratio generation is the foremost challenge for the researchers. Therefore, to optimize the current stress on DABs and minimize the conduction losses & reactive power, the current study proposes a novel minimum current point tracking (MCPT) assisted adaptive dual phase shift (DPS) controller for the microgrids. The proposed controller incorporates the simple structure and the conventional perturb and observe (P&O) algorithm to track the active power accurately and transmit it for the optimum phase shift generation. Due to the simple structure of the P&O algorithm, the introduced controller exhibits parameter independence and eliminates the requirement of convoluted system modeling. A comparative study of the introduced controller with its extended phase shift (EPS) counterpart is put through to show the promising performance of the proposed controller. Simulation studies are carried out in the MATLAB/Simulink environment, whereas, the experimental studies are carried away on the DAB prototype regulated through a microcontroller (TI-piccolo 280049C).</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110183"},"PeriodicalIF":4.0,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A privacy-preserving and robust aggregation scheme for multi-dimensional data in VANETs

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-02-14 DOI: 10.1016/j.compeleceng.2025.110145

Gang Shen , Kongze Xiao , Jun Tu , Hua Shen , Mingwu Zhang

{"title":"A privacy-preserving and robust aggregation scheme for multi-dimensional data in VANETs","authors":"Gang Shen , Kongze Xiao , Jun Tu , Hua Shen , Mingwu Zhang","doi":"10.1016/j.compeleceng.2025.110145","DOIUrl":"10.1016/j.compeleceng.2025.110145","url":null,"abstract":"<div><div>Relying on wireless communication technology, vehicular ad-hoc networks (VANETs) realizes vehicle-to-everything (V2X) communication. It can collect real-time data from vehicles and roads to help drivers deal with emergencies and reduce the risk of accidents. However, these multi-dimensional real-time data might reveal the sensitive information of vehicles. Meanwhile, unreliable real-time data can also cause serious accidents. To combat these challenges, we propose a privacy-preserving and robust aggregation scheme for multi-dimensional data in VANETs. Specifically, we utilize the Chinese remainder theorem (CRT) to convert multi-dimensional real-time data into a large integer to alleviate the burden of its processing, and an EC-ElGamal homomorphic encryption with dual trapdoor decryption mechanism is used to realize the decryption and data query function both vehicles and traffic management center (TMC) to meet the needs of different entities. In addition, Schnorr signature is applied to prevent data from being tampered with or forged, and a credibility mechanism is proposed to guarantee the validity of the data. Security analysis shows that our scheme can ensure the security of vehicle identity and data privacy, and has the ability to identify data availability. Finally, we conduct a theoretical analysis of performance, and use the simulation framework to evaluate the communication overhead. Compared with other schemes, our scheme reduces computational cost and communication overhead by at most 99.6% and 88%, respectively.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110145"},"PeriodicalIF":4.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BirdsSong: A stylized generative audio steganography

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-02-14 DOI: 10.1016/j.compeleceng.2025.110112

Sanfeng Zhang , Baiyu Tian , Yang Gao , Mengyao Dai , Wang Yang

引用次数: 0

NSGA-II optimized deep autoencoders for enhanced multi-criteria recommendation system

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-02-13 DOI: 10.1016/j.compeleceng.2025.110159

Ishwari Singh Rajput , Anand Shanker Tewari , Arvind Kumar Tiwari

{"title":"NSGA-II optimized deep autoencoders for enhanced multi-criteria recommendation system","authors":"Ishwari Singh Rajput , Anand Shanker Tewari , Arvind Kumar Tiwari","doi":"10.1016/j.compeleceng.2025.110159","DOIUrl":"10.1016/j.compeleceng.2025.110159","url":null,"abstract":"<div><div>Recommendation systems are decision-support systems used by e-commerce enterprises to evaluate customers’ preferences and suggest items based on their interests. Moreover, they also tackle the problem of information overload. Multi-criteria recommendation systems differ from standard approaches by using multiple-criterion ratings instead of single-criterion ratings while rating products. Multi-criteria recommendation systems has attracted significant attention in the field of recommendation systems due to the lower accuracy of single-criteria recommendation systems. Furthermore, deep learning models have demonstrated encouraging results in several domains including image processing, computer vision, pattern recognition, and natural language processing. This paper introduces a novel methodology leveraging deep autoencoders optimized using the Non-dominated sorting genetic algorithm (NSGA-II) a meta-heuristic optimization technique to enhance the accuracy of multi-criteria recommendation systems. In the first stage of the proposed method, NSGA-II is employed to optimize the weights of the deep autoencoder for enhancing the fine-tuning of the hyperparameters. Secondly, missing ratings and overall ratings are predicted using autoencoders for more precise top-N recommendations. The model is validated using two real-world multi-criteria datasets Yahoo! Movies and TripAdvisor. Experimental results demonstrate that the model achieves significant improvements in prediction accuracy, with a Mean Absolute Error (MAE) of 0.6012 and 0.7215, and Root Mean Squared Error (RMSE) of 0.6137 and 0.7362 on Yahoo! Movies and TripAdvisor datasets, respectively. These findings indicate that the model outperforms both single-criteria recommendation algorithms and other state-of-the-art multi-criteria recommendation models in accuracy.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110159"},"PeriodicalIF":4.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

XAI-INVENT: An explainable artificial intelligence based framework for rapid discovery of novel antibiotics

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-02-12 DOI: 10.1016/j.compeleceng.2025.110098

Ritesh Sharma , Sameer Shrivastava , Sanjay Kumar Singh , Abhinav Kumar , Amit Kumar Singh , Sonal Saxena

{"title":"XAI-INVENT: An explainable artificial intelligence based framework for rapid discovery of novel antibiotics","authors":"Ritesh Sharma , Sameer Shrivastava , Sanjay Kumar Singh , Abhinav Kumar , Amit Kumar Singh , Sonal Saxena","doi":"10.1016/j.compeleceng.2025.110098","DOIUrl":"10.1016/j.compeleceng.2025.110098","url":null,"abstract":"<div><div>The failure of the most potent medicines to eradicate superbugs underscores the urgent need to develop new antimicrobial drugs. Antibacterial peptides (ABPs) are oligopeptides present in all multicellular organisms and serve as the first line of defense against pathogens. ABPs provide several benefits over conventional antibiotics; therefore, they have recently gained significant attention as an alternative. Finding ABPs in the laboratory is expensive and time-consuming. Therefore, wet-lab researchers use <em>in-silico</em> tools to discover ABPs from natural sources. The existing tools available for this purpose suffer from the limitation of being black boxes. In the present work, we developed XAI-INVENT, an explainable artificial intelligence-based framework for the rapid discovery of novel antibiotics. For building XAI-INVENT, first, the probability scores of deep learning models are fused, and then the fused scores are utilized with local interpretable model-agnostic explanations (LIME) for determining the critical amino acids. The value of performance metrics, namely Accuracy, Sensitivity, Precision, F1-Score, Specificity, and Matthews correlation coefficient obtained by the proposed framework for test data is <span><math><mo>≈</mo></math></span> 96 %, 96 %, 97 %, 96 %, 97 %, and 92 %, respectively. To help wet-lab researchers, XAI-INVENT is deployed as a web server at <span><span>https://xai-invent.anvil.app/</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110098"},"PeriodicalIF":4.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A new approach to low peak sidelobe level signal design in MIMO radars

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-02-12 DOI: 10.1016/j.compeleceng.2025.110140

Hamideh Zebardast, Mahmoud Farhang, Abbas Sheikhi

引用次数: 0