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Mohit Sewak

3 papers hereh-index 8301 citations22 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.CL1
same name
  • Mohit Sewak — 13 papers, h 16

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedDeep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review

46 citations · 64 across the 3 of their papers we have counts for

collaborators
Showing cs.CRShow all

2 papers · 1 filter

cs.CR2022★ 46 cited

Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

The cybersecurity threat landscape has lately become overly complex. Threat actors leverage weaknesses in the network and endpoint security in a very coordinated manner to perpetua…

cs.CR2020★ 17 cited

DOOM: A Novel Adversarial-DRL-Based Op-Code Level Metamorphic Malware Obfuscator for the Enhancement of IDS

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

We designed and developed DOOM (Adversarial-DRL based Opcode level Obfuscator to generate Metamorphic malware), a novel system that uses adversarial deep reinforcement learning to…

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