Search Results for author:
Found 14 papers, 3 papers with code
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security
In recent years, the amount of Cyber Security data generated in the form of unstructured texts, for example, social media resources, blogs, articles, and so on has exceptionally increased.
Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream
In recent days, the amount of Cyber Security text data shared via social media resources mainly Twitter has increased.
Intrusion detection systems using classical machine learning techniques versus integrated unsupervised feature learning and deep neural network
Security analysts and administrators face a lot of challenges to detect and prevent network intrusions in their organizations, and to prevent network breaches, detecting the breach on time is crucial.
Emotion Detection using Data Driven Models
In this paper the text data is used for the classification of the emotions.
RNNSecureNet: Recurrent neural networks for Cyber security use-cases
Recurrent neural network (RNN) is an effective neural network in solving very complex supervised and unsupervised tasks.
A Deep Learning Approach for Similar Languages, Varieties and Dialects
Deep learning mechanisms are prevailing approaches in recent days for the various tasks in natural language processing, speech recognition, image processing and many others.
A short review on Applications of Deep learning for Cyber security
This has been applied towards various use cases in cyber security such as intrusion detection, malware classification, android malware detection, spam and phishing detection and binary analysis.
Deep-Net: Deep Neural Network for Cyber Security Use Cases
In this paper, we attempt to apply DNNs on three different cyber security use cases: Android malware classification, incident detection and fraud detection.
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security
In this paper, DNNs have been utilized to predict the attacks on Network Intrusion Detection System (N-IDS).
Ranked #1 on
Network Intrusion Detection
on KDD
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities
Advanced driver assistance systems are advancing at a rapid pace and all major companies started investing in developing the autonomous vehicles.
DeepImageSpam: Deep Learning based Image Spam Detection
Hackers and spammers are employing innovative and novel techniques to deceive novice and even knowledgeable internet users.
DeepProteomics: Protein family classification using Shallow and Deep Networks
The laboratory experiments take a considerable amount of time for annotation of the sequences.
Deep Health Care Text Classification
This working note presents the Recurrent neural network (RNN) and Long short-term memory (LSTM) based embedding for automatic health text classification in the social media mining.
deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets
The goal of the task is to predict a real valued score in the range [0-1] for a particular tweet with an emotion type.
