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researcher

S. B. U. Haque

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedA Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks

7 citations · 7 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2023

Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System

Khushnaseeb Roshan, Aasim Zafar, Sheikh Burhan Ul Haque

Network Intrusion Detection System (NIDS) is a key component in securing the computer network from various cyber security threats and network attacks. However, consider an unfortun…

cs.CR2023★ 7 cited

A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks

Khushnaseeb Roshan, Aasim Zafar, Shiekh Burhan Ul Haque

Network Intrusion Detection System (NIDS) is an essential tool in securing cyberspace from a variety of security risks and unknown cyberattacks. A number of solutions have been imp…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.