JavaShuo
欄目
標籤
Cascade-based attacks on complex networks
時間 2021-07-12
標籤
社區檢測
简体版
原文
原文鏈接
期刊:Physical Review E,2002 這篇文章研究複雜網絡上的級聯故障,文章主要使用的模型是無標度網絡。文章提出問題:什麼情況下全局的級聯故障會發生?由此展開試驗,α爲容差係數,設置最大的連通集團N’/N爲衡量指標,首先在無標度的網絡上進行試驗,證明故意攻擊會使得網絡發生級聯故障;然後比較無標度網絡和均勻網絡,發現同質網絡並不會出現級聯障礙;最後在兩個實際網絡上試驗,發出近似結論。
>>阅读原文<<
相關文章
1.
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
2.
SysML-Sec Attack Graphs: Compact Representations for Complex Attacks
3.
Complex Systems: Networks rule our world
4.
Capsule Network Performance on Complex Data
5.
【翻譯】Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
6.
讀書筆記17:Adversarial Attacks on Neural Networks for Graph Data
7.
【生成對抗樣本】Simple Black-Box Adversarial Attacks on Deep Neural Networks
8.
【全部譯文】Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks
9.
《A Novel Detector Based on Convolution Neural Networks for Multiscale SAR Ship Detection in Complex》
10.
實驗 Attacks on TCP/IP Protocols
更多相關文章...
•
Docker Compose
-
Docker教程
•
ionic 手勢事件
-
ionic 教程
•
RxJava操作符(一)Creating Observables
•
PHP Ajax 跨域問題最佳解決方案
相關標籤/搜索
networks
attacks
complex
join..on
join....on
join......on
join...on
zsh+on
on+iss
On Lisp
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
JDK JRE JVM,JDK卸載與安裝
2.
Unity NavMeshComponents 學習小結
3.
Unity技術分享連載(64)|Shader Variant Collection|Material.SetPassFast
4.
爲什麼那麼多人用「ji32k7au4a83」作密碼?
5.
關於Vigenere爆0總結
6.
圖論算法之最小生成樹(Krim、Kruskal)
7.
最小生成樹 簡單入門
8.
POJ 3165 Traveling Trio 筆記
9.
你的快遞最遠去到哪裏呢
10.
雲徙探險中臺賽道:借道雲原生,尋找「最優路線」
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
2.
SysML-Sec Attack Graphs: Compact Representations for Complex Attacks
3.
Complex Systems: Networks rule our world
4.
Capsule Network Performance on Complex Data
5.
【翻譯】Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
6.
讀書筆記17:Adversarial Attacks on Neural Networks for Graph Data
7.
【生成對抗樣本】Simple Black-Box Adversarial Attacks on Deep Neural Networks
8.
【全部譯文】Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks
9.
《A Novel Detector Based on Convolution Neural Networks for Multiscale SAR Ship Detection in Complex》
10.
實驗 Attacks on TCP/IP Protocols
>>更多相關文章<<