面向不平衡數(shù)據(jù)的二階段網(wǎng)絡(luò)入侵檢測新方法
中圖分類號: TP393 (204號 文獻標志碼:A DOI:10.12305/j.issn.1001-506X.2025.06.34
Abstract:Although many current networks traffic intrusion detection models have relatively high detection rates,there are still problems such as low detection rates and poor generalization for imbalanced abnormal network traffic.Therefore,two-stage network intrusion detection method for imbalance data is proposed.In the first stage,a random forest ensemble model is trained to perform initial normal and abnormal binary clasification on network traffic toaleviate the impact of imbalance of normaland abnormal trafficon model training.In thesecond stage,an initial abnormal traficdata is used to trainanone-dimensional convolutional neural network-bi-directional long short-term memory model to study the key features of abnormal traffic,and thefocallossfunction is introduced during model training.This mechanism enables the model to simultaneously focus ondifficult clasification samples and minority samples inabnormal trafic,further aleviating the impact of dataimbalanceof abnormal traficon detection accuracy.Inorder to verify the effectiveness of the proposed method,experiments are conducted on the UNSW2015 and CIC-IDS20l7 dataset.The experimental results show that the proposed method can beter extract data features and aleviate data imbalance to a certain extent. Compared with other similar methods proposed in recent years,the proposed model has better overal performance,and the weighted F1 score increased by 0.9% and the macro F1 score increased by 2.7% :
Keywords:intrusion detection;imbalance samples;neural network;focal loss
0 引言
近年來,隨著信息技術(shù)的迅猛發(fā)展,網(wǎng)絡(luò)攻擊手段日益復(fù)雜多變,各種類型的攻擊事件層出不窮,給網(wǎng)絡(luò)安全帶來了嚴峻挑戰(zhàn)。(剩余18782字)
-
-
- 系統(tǒng)工程與電子技術(shù)
- 2025年06期
- 一種基于調(diào)制序列相關(guān)特性的干擾...
- 最優(yōu)算術(shù)平均融合及其在非同視域...
- 基于迭代原子范數(shù)最小化的均勻圓...
- 基于數(shù)據(jù)增強的車輛魯棒對抗紋理...
- 雙頻段、高增益、超低副瓣毫米波...
- 基于短時傅里葉變換的高效空頻自...
- 一種改進的全息SAR相位梯度自...
- 噪聲偽標簽容忍的半監(jiān)督SAR目...
- 空天雙基雷達雜波建模與分析...
- V形布置深水多波束聲吶測深方法...
- 基于改進鯨魚算法和BiGRU的...
- 基于DBO-DAOD的未知雷達...
- 空間群目標ISAR成像與檢測方...
- 基于IVSFS的作戰(zhàn)威脅人機協(xié)...
- 基于ASDDPG算法的多無人機...
- 基于混合驅(qū)動的航空發(fā)動機氣路故...
- 基于方向協(xié)同的可靠性冗余設(shè)計優(yōu)...
- 自由航路空域航空器無沖突軌跡規(guī)...
- 融合屬性內(nèi)部不確定和外部交互的...
- 面向衛(wèi)星在軌處理的強化學(xué)習(xí)任務(wù)...
- 基于MBSE的異構(gòu)探測器系統(tǒng)架...
- 基于WeibulI分布的兩階段...
- 基于主動學(xué)習(xí)的樹狀高斯過程建模...
- 無人艇編隊避碰路徑規(guī)劃與重規(guī)劃...
- 低軌質(zhì)量矩航天器姿態(tài)動力學(xué)與氣...
- 未知擾動下非嚴格反饋系統(tǒng)的自適...
- DQN與規(guī)則結(jié)合的智能船舶動態(tài)...
- 平流層飛艇航跡跟蹤魯棒控制方法...
- 基于攔截概率的多彈區(qū)域協(xié)同覆蓋...
- 低軌巨型星座網(wǎng)絡(luò)抗毀性研究進展...
- 基于MADDPG的分布式測控網(wǎng)...
- 存在噪聲不確定度的高斯白噪聲下...
- 意圖態(tài)勢雙驅(qū)動的數(shù)據(jù)鏈抗干擾通...
- 面向不平衡數(shù)據(jù)的二階段網(wǎng)絡(luò)入侵...