Статті в журналах з теми "Light-based Intrusion classification system"
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Jecheva, Veselina, and Evgeniya Nikolova. "Classification Trees as a Technique for Creating Anomaly-Based Intrusion Detection Systems." Serdica Journal of Computing 3, no. 4 (January 11, 2010): 335–58. http://dx.doi.org/10.55630/sjc.2009.3.335-358.
Повний текст джерелаSandosh, S., Dr V. Govindasamy, and Dr G. Akila. "Novel Pattern Matching based Alert Classification Approach For Intrusion Detection System." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11-SPECIAL ISSUE (November 29, 2019): 279–89. http://dx.doi.org/10.5373/jardcs/v11sp11/20193032.
Повний текст джерелаKamble, Arvind, and Virendra S. Malemath. "Adam Improved Rider Optimization-Based Deep Recurrent Neural Network for the Intrusion Detection in Cyber Physical Systems." International Journal of Swarm Intelligence Research 13, no. 3 (July 1, 2022): 1–22. http://dx.doi.org/10.4018/ijsir.304402.
Повний текст джерелаAhmad, Iftikhar, Qazi Emad Ul Haq, Muhammad Imran, Madini O. Alassafi, and Rayed A. AlGhamdi. "An Efficient Network Intrusion Detection and Classification System." Mathematics 10, no. 3 (February 8, 2022): 530. http://dx.doi.org/10.3390/math10030530.
Повний текст джерелаMohammed, Bilal, and Ekhlas K. Gbashi. "Intrusion Detection System for NSL-KDD Dataset Based on Deep Learning and Recursive Feature Elimination." Engineering and Technology Journal 39, no. 7 (July 25, 2021): 1069–79. http://dx.doi.org/10.30684/etj.v39i7.1695.
Повний текст джерелаAli, Rashid, and Supriya Kamthania. "A Comparative Study of Different Relevant Features Hybrid Neural Networks Based Intrusion Detection Systems." Advanced Materials Research 403-408 (November 2011): 4703–10. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4703.
Повний текст джерелаUgendhar, A., Babu Illuri, Sridhar Reddy Vulapula, Marepalli Radha, Sukanya K, Fayadh Alenezi, Sara A. Althubiti, and Kemal Polat. "A Novel Intelligent-Based Intrusion Detection System Approach Using Deep Multilayer Classification." Mathematical Problems in Engineering 2022 (May 6, 2022): 1–10. http://dx.doi.org/10.1155/2022/8030510.
Повний текст джерелаAfzal, Shehroz, and Jamil Asim. "Systematic Literature Review over IDPS, Classification and Application in its Different Areas." STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 3, no. 2 (December 31, 2021): 189–223. http://dx.doi.org/10.52700/scir.v3i2.58.
Повний текст джерелаAfzal, Shehroz, and Jamil Asim. "Systematic Literature Review over IDPS, Classification and Application in its Different Areas." STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 3, no. 2 (December 31, 2021): 189–223. http://dx.doi.org/10.52700/scir.v3i2.58.
Повний текст джерелаAlzahrani, Mohammed Saeed, and Fawaz Waselallah Alsaade. "Computational Intelligence Approaches in Developing Cyberattack Detection System." Computational Intelligence and Neuroscience 2022 (March 18, 2022): 1–16. http://dx.doi.org/10.1155/2022/4705325.
Повний текст джерелаMulyanto, Mulyanto, Muhamad Faisal, Setya Widyawan Prakosa, and Jenq-Shiou Leu. "Effectiveness of Focal Loss for Minority Classification in Network Intrusion Detection Systems." Symmetry 13, no. 1 (December 22, 2020): 4. http://dx.doi.org/10.3390/sym13010004.
Повний текст джерелаWang, Li Fang. "Anomaly Intrusion Detection Based on Concept Lattice." Applied Mechanics and Materials 220-223 (November 2012): 2388–92. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2388.
Повний текст джерелаZhao, Xuemin. "Application of Data Mining Technology in Software Intrusion Detection and Information Processing." Wireless Communications and Mobile Computing 2022 (June 9, 2022): 1–8. http://dx.doi.org/10.1155/2022/3829160.
Повний текст джерелаKhattab M. Ali Alheeti, Ali Azawii Abdu Lateef, Abdulkareem Alzahrani, Azhar Imran, and Duaa Al_Dosary. "Cloud Intrusion Detection System Based on SVM." International Journal of Interactive Mobile Technologies (iJIM) 17, no. 11 (June 7, 2023): 101–14. http://dx.doi.org/10.3991/ijim.v17i11.39063.
Повний текст джерелаGanapathy, S., P. Yogesh, and A. Kannan. "Intelligent Agent-Based Intrusion Detection System Using Enhanced Multiclass SVM." Computational Intelligence and Neuroscience 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/850259.
Повний текст джерелаAlwan, Karrar, Ahmed AbuEl-Atta, and Hala Zayed. "Feature Selection Models Based on Hybrid Firefly Algorithm with Mutation Operator for Network Intrusion Detection." International Journal of Intelligent Engineering and Systems 14, no. 1 (February 28, 2021): 192–202. http://dx.doi.org/10.22266/ijies2021.0228.19.
Повний текст джерелаLaxkar, Pradeep, and Prasun Chakrabarti. "Comparison of intrusion detection system based on feature extraction." International Journal of Engineering & Technology 7, no. 3.3 (June 8, 2018): 536. http://dx.doi.org/10.14419/ijet.v7i2.33.14829.
Повний текст джерелаPreethi D. and Neelu Khare. "An Intelligent Network Intrusion Detection System Using Particle Swarm Optimization (PSO) and Deep Network Networks (DNN)." International Journal of Swarm Intelligence Research 12, no. 2 (April 2021): 57–73. http://dx.doi.org/10.4018/ijsir.2021040104.
Повний текст джерелаWang, Qian, Wenfang Zhao, and Jiadong Ren. "Intrusion detection algorithm based on image enhanced convolutional neural network." Journal of Intelligent & Fuzzy Systems 41, no. 1 (August 11, 2021): 2183–94. http://dx.doi.org/10.3233/jifs-210863.
Повний текст джерелаAlzubi, Omar A., Jafar A. Alzubi, Moutaz Alazab, Adnan Alrabea, Albara Awajan, and Issa Qiqieh. "Optimized Machine Learning-Based Intrusion Detection System for Fog and Edge Computing Environment." Electronics 11, no. 19 (September 22, 2022): 3007. http://dx.doi.org/10.3390/electronics11193007.
Повний текст джерелаKumar, Kapil, Arvind Kumar, Vimal Kumar, and Sunil Kumar. "A Hybrid Classification Technique for Enhancing the Effectiveness of Intrusion Detection Systems Using Machine Learning." International Journal of Organizational and Collective Intelligence 12, no. 1 (January 2022): 1–18. http://dx.doi.org/10.4018/ijoci.2022010102.
Повний текст джерелаPamela Vinitha Eric, Mathiyalagan R,. "An Efficient Intrusion Detection System Using Improved Bias Based Convolutional Neural Network Classifier." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 5, 2021): 2468–82. http://dx.doi.org/10.17762/turcomat.v12i6.5689.
Повний текст джерелаLee, JooHwa, and KeeHyun Park. "AE-CGAN Model based High Performance Network Intrusion Detection System." Applied Sciences 9, no. 20 (October 10, 2019): 4221. http://dx.doi.org/10.3390/app9204221.
Повний текст джерелаImrana, Yakubu, Yanping Xiang, Liaqat Ali, Zaharawu Abdul-Rauf, Yu-Chen Hu, Seifedine Kadry та Sangsoon Lim. "χ2-BidLSTM: A Feature Driven Intrusion Detection System Based on χ2 Statistical Model and Bidirectional LSTM". Sensors 22, № 5 (4 березня 2022): 2018. http://dx.doi.org/10.3390/s22052018.
Повний текст джерелаHan, Jonghoo, and Wooguil Pak. "Hierarchical LSTM-Based Network Intrusion Detection System Using Hybrid Classification." Applied Sciences 13, no. 5 (February 27, 2023): 3089. http://dx.doi.org/10.3390/app13053089.
Повний текст джерелаKumar, Yadala Prabhu, and Burra Vijaya Babu. "Stabbing of Intrusion with Learning Framework Using Auto Encoder Based Intellectual Enhanced Linear Support Vector Machine for Feature Dimensionality Reduction." Revue d'Intelligence Artificielle 36, no. 5 (December 23, 2022): 737–43. http://dx.doi.org/10.18280/ria.360511.
Повний текст джерелаPreethi D. and Neelu Khare. "EFS-LSTM (Ensemble-Based Feature Selection With LSTM) Classifier for Intrusion Detection System." International Journal of e-Collaboration 16, no. 4 (October 2020): 72–86. http://dx.doi.org/10.4018/ijec.2020100106.
Повний текст джерелаPriyadarsini, Pullagura Indira, and G. Anuradha. "A novel ensemble modeling for intrusion detection system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (April 1, 2020): 1963. http://dx.doi.org/10.11591/ijece.v10i2.pp1963-1971.
Повний текст джерелаLodhi, Mala Bharti, Vineet Richhariya, and Mahesh Parmar. "AN IMPLEMENTATION OF IDS IN A HYBRID APPROACH AND KDD CUP DATASET." International Journal of Research -GRANTHAALAYAH 2, no. 3 (December 31, 2014): 1–9. http://dx.doi.org/10.29121/granthaalayah.v2.i3.2014.3055.
Повний текст джерелаYuhong Wu, Yuhong Wu, and Xiangdong Hu Yuhong Wu. "AMS Intrusion Detection Method Based on Improved Generalized Regression Neural Network." 網際網路技術學刊 24, no. 2 (March 2023): 549–63. http://dx.doi.org/10.53106/160792642023032402029.
Повний текст джерелаKannan, Anand, Karthik Gururajan Venkatesan, Alexandra Stagkopoulou, Sheng Li, Sathyavakeeswaran Krishnan, and Arifur Rahman. "A Novel Cloud Intrusion Detection System Using Feature Selection and Classification." International Journal of Intelligent Information Technologies 11, no. 4 (October 2015): 1–15. http://dx.doi.org/10.4018/ijiit.2015100101.
Повний текст джерелаAbdulameer, Hasan, Inam Musa, and Noora Salim Al-Sultani. "Three level intrusion detection system based on conditional generative adversarial network." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (April 1, 2023): 2240. http://dx.doi.org/10.11591/ijece.v13i2.pp2240-2258.
Повний текст джерелаVishwakarma, Uma, Prof Anurag Jain, and Prof Akriti Jain. "A Review of Feature Reduction in Intrusion Detection System Based on Artificial Immune System and Neural Network." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 9, no. 3 (July 15, 2013): 1127–33. http://dx.doi.org/10.24297/ijct.v9i3.3338.
Повний текст джерелаCai, Yu. "Mobile Agent Based Network Defense System in Enterprise Network." International Journal of Handheld Computing Research 2, no. 1 (January 2011): 41–54. http://dx.doi.org/10.4018/jhcr.2011010103.
Повний текст джерелаGondal, Farzana Kausar. "Mobile Agent (MA) Based Intrusion Detection Systems (IDS): A Systematic Review." Innovative Computing Review 1, no. 2 (December 26, 2021): 85–102. http://dx.doi.org/10.32350/icr.0102.05.
Повний текст джерелаAbuadlla, Yousef, Omran Ben Taher, and Hesham Elzentani. "Flow Based Intrusion Detection System Using Multistage Neural Network." مجلة الجامعة الأسمرية: العلوم التطبيقية 2, no. 2 (December 30, 2017): 87–77. http://dx.doi.org/10.59743/aujas.v2i2.1158.
Повний текст джерелаWu, Yuhong, and Xiangdong Hu. "An Intrusion Detection Method Based on Fully Connected Recurrent Neural Network." Scientific Programming 2022 (September 26, 2022): 1–11. http://dx.doi.org/10.1155/2022/7777211.
Повний текст джерелаPise, Nitin. "APPLICATION OF MACHINE LEARNING FOR INTRUSION DETECTION SYSTEM." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (March 1, 2021): 314–23. http://dx.doi.org/10.17762/itii.v9i1.134.
Повний текст джерелаPietro Spadaccino and Francesca Cuomo. "Intrusion detection systems for IoT: Opportunities and challenges offered by edge computing." ITU Journal on Future and Evolving Technologies 3, no. 2 (September 22, 2022): 408–20. http://dx.doi.org/10.52953/wnvi5792.
Повний текст джерелаTian, Yuyang. "Abnormal Traffic Prediction and Classification based on Information Big Data." Highlights in Science, Engineering and Technology 23 (December 3, 2022): 145–53. http://dx.doi.org/10.54097/hset.v23i.3216.
Повний текст джерелаAlmuhairi, Thani, Ahmad Almarri, and Khalid Hokal. "An Artificial Intelligence-based Intrusion Detection System." Journal of Cybersecurity and Information Management 07, no. 02 (April 1, 2021): 95–111. http://dx.doi.org/10.54216/jcim.07.02.04.
Повний текст джерелаDuhayyim, Mesfer Al, Khalid A. Alissa, Fatma S. Alrayes, Saud S. Alotaibi, ElSayed M. Tag El Din, Amgad Atta Abdelmageed, Ishfaq Yaseen, and Abdelwahed Motwakel. "Evolutionary-Based Deep Stacked Autoencoder for Intrusion Detection in a Cloud-Based Cyber-Physical System." Applied Sciences 12, no. 14 (July 7, 2022): 6875. http://dx.doi.org/10.3390/app12146875.
Повний текст джерелаAbdulrahman, Amer A., and Mahmood K. Ibrahem. "Evaluation of DDoS attacks Detection in a New Intrusion Dataset Based on Classification Algorithms." Iraqi Journal of Information & Communications Technology 1, no. 3 (February 1, 2019): 49–55. http://dx.doi.org/10.31987/ijict.1.3.40.
Повний текст джерелаJiang, Xue Song, Xiu Mei Wei, and Yu Shui Geng. "The Research of Intrusion Detection System Based on ANN on Cloud Platform." Applied Mechanics and Materials 263-266 (December 2012): 2962–65. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2962.
Повний текст джерелаSampath, Nithya, and Dinakaran M. "Flow Based Classification for Specification Based Intrusion Detection in Software Defined Networking." International Journal of Software Innovation 7, no. 2 (April 2019): 1–8. http://dx.doi.org/10.4018/ijsi.2019040101.
Повний текст джерелаFarhana, Kaniz, Maqsudur Rahman, and Md Tofael Ahmed. "An intrusion detection system for packet and flow based networks using deep neural network approach." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (October 1, 2020): 5514. http://dx.doi.org/10.11591/ijece.v10i5.pp5514-5525.
Повний текст джерелаZhou, Yulin, Lun Xie, and Hang Pan. "Research on a PSO-H-SVM-Based Intrusion Detection Method for Industrial Robotic Arms." Applied Sciences 12, no. 6 (March 8, 2022): 2765. http://dx.doi.org/10.3390/app12062765.
Повний текст джерелаLi, Wenchao, Ping Yi, Yue Wu, Li Pan, and Jianhua Li. "A New Intrusion Detection System Based on KNN Classification Algorithm in Wireless Sensor Network." Journal of Electrical and Computer Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/240217.
Повний текст джерелаHussien et al., Zaid. "Anomaly Detection Approach Based on Deep Neural Network and Dropout." Baghdad Science Journal 17, no. 2(SI) (June 23, 2020): 0701. http://dx.doi.org/10.21123/bsj.2020.17.2(si).0701.
Повний текст джерелаProtić, Danijela. "Intrusion detection based on the artificial immune system." Vojnotehnicki glasnik 68, no. 4 (2020): 790–803. http://dx.doi.org/10.5937/vojtehg68-27954.
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