Activity Feed

Medium 1

Prateek K. updated project WarHammer status

Medium 1

Prateek Kumar

For security providers, sophisticated machine learning provides fast and accurate threat detection, including zero-day and previously unknown threats. Advanced heuristics and rules allow machine learning models to help determine in near real time if a file, URL, IP, or application is a threat, and then communicate that information broadly.

Despite an ever changing threat landscape, machine learning enables very high detection rates over time. Machine learning technology is now emerging as a critical component across all of the various domains of cybersecurity.

Machine learning can power next-generation endpoint protection, mobile protection, threat intelligence, web security and network anomaly detection offerings. It enables threat activity across multiple security domains to be contextually associated in real time.

1

Prateek K. added photos to project WarHammer

Medium 355b551b 3cf2 4f7d 979c d7303d310e2e

WarHammer

With modern technology becoming obsolete in cyber security, we need to come up with innovative ideas to increase the notch up in the fight against unauthorized access to our information and data. I will be taking help of Theano,Torch,Microsoft CNTKA framework to start with and then modify the implementation as i move in later stages of the project. I will be trying to modify various protection algorithms and try to come up with a ML algorithm that takes help of deep learning frameworks. I will also be taking help of Gensim to validate my data collection as efficiently as possible. The changes to encryption and decryption techniques will be studied thoroughly in later stages. In a manner where DNA cannot be replicated , similarly developing a neural network net around my algorithm against network intrusion will be the deciding factor in the efficiency of the modified algorithm. I will also taking help of Apache Hadoop in analyzing my stored data from cyber attacks and storing the result of my predicament in Apache Spark to make real-time decisions. The main problem in using machine learning algorithms in cyber security is the creation of an overhead which has an adverse effect on algorithm's performance. To eliminate it to a appreciable stage I will be taking help of BlueData without any changes to Hadoop or Spark framework. Finally the performance of the algorithm will be tested with the help of BigBench kit to get a full report on the project.

Medium 1

Prateek K. created project WarHammer

Medium 355b551b 3cf2 4f7d 979c d7303d310e2e

WarHammer

With modern technology becoming obsolete in cyber security, we need to come up with innovative ideas to increase the notch up in the fight against unauthorized access to our information and data. I will be taking help of Theano,Torch,Microsoft CNTKA framework to start with and then modify the implementation as i move in later stages of the project. I will be trying to modify various protection algorithms and try to come up with a ML algorithm that takes help of deep learning frameworks. I will also be taking help of Gensim to validate my data collection as efficiently as possible. The changes to encryption and decryption techniques will be studied thoroughly in later stages. In a manner where DNA cannot be replicated , similarly developing a neural network net around my algorithm against network intrusion will be the deciding factor in the efficiency of the modified algorithm. I will also taking help of Apache Hadoop in analyzing my stored data from cyber attacks and storing the result of my predicament in Apache Spark to make real-time decisions. The main problem in using machine learning algorithms in cyber security is the creation of an overhead which has an adverse effect on algorithm's performance. To eliminate it to a appreciable stage I will be taking help of BlueData without any changes to Hadoop or Spark framework. Finally the performance of the algorithm will be tested with the help of BigBench kit to get a full report on the project.

About

Highly enthusiast about Machine Learning, AI,Augmented Reality

Featured Projects

See All

Golden bfff1346 49d7 4ee1 b07c ffde7c78d65b
  • Members 218

DeepLearning

Practical Deep Learning and Machine learning Projects

Bigger pmaddraft
  • Projects 0
  • Followers 18

Biju Aliyas (Intel)

checking login issue in software. Intel.com.. Black Belt.. Performance is better.. perfomr .. NE issue.. LB...ddd

Bengaluru, Karnataka 560001, India

Default user avatar 57012e2942
  • Projects 0
  • Followers 6

yash gupta

Bengaluru, Karnataka, India

Thumb 9dbe9fc2 6105 4573 a33d 093aecad14d0
  • Collaborators 1
  • Followers 309

Follow

Space Between

Thumb profile image   1 Justin Link

Created: 11/16/2015

Explore the ocean by controlling different sea creatures and machines as you discover what secret...

Medium real sense
Featured
  • Followers 1430

Intel RealSense™

Natural interaction, immersive, collaboration, gaming and learning, 3D scanning. Integrate tracki...

Medium big data
Featured
  • Followers 1500

Modern Code

Drive faster breakthroughs through faster code: Get more results on your hardware today and carry...

Medium networking
Featured
  • Followers 1371

Networking

Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are transforming the...

Medium morgan stanley 75 billion devices will be connected to the internet of things by 2020
Featured
  • Followers 854

Internet of Things

Jumpstart your prototyping without reinventing the wheel. The Intel® IoT Developer Program provid...

Medium achievement unlocked logo
Featured
  • Followers 1304

Game Development

Upgrade your skills as a game developer, share your game projects, and connect with other develop...

Medium vr large 575x441
Featured
  • Followers 995

Virtual Reality

VR, AR, mixed reality...you'll find projects based on all these new platforms here. Share your own!

Bigger linkedindp
  • Projects 0
  • Followers 0

manu hegde

student, programmer with passion

Bengaluru, Karnataka, India

Bigger muni pic new
  • Projects 1
  • Followers 0

Muni Kumar

Muni Kumar N, Research Scholar on Deep Learning

Bengaluru, Karnataka, India

Bigger 0 1ehxlasq l0 mp7pk4qpbh35h6clh aynfqjar3hho amocpkuqy5lp r6pr2t70iuzytng  1 aui0ci3mr zjhq1 luippa3mgba38td zungva5wy3hxwcz
  • Projects 0
  • Followers 3

SHOYEB KHAN

Peenya, Bengaluru, Karnataka, India

Bigger 1061212
  • Projects 0
  • Followers 0

Surendra Naraga

Student at AP IIIT RK Valley, Rajiv Gandhi University of Knowledge Technologies and Intern at Intel

Bengaluru, Karnataka, India

Bigger 18010986 1369009459824453 8926879518550691383 n
  • Projects 0
  • Followers 0

latha g

Bengaluru, Karnataka, India