Sensors and actuators

Wireless communication

Video coding, scene analysis, pattern recognition.

Read the documents of the Open Video Interface Forum (ONVIF), it's about enhancing physical security of people and goods through video surveillance

You need probability theory basics, and real time detection through maximum likelihood

Maybe Lagrangian optimisation

Scenario description (what categories of intrusion you expect)

Game theory: your game is you trying to detect intrusion playing against adversary trying to intrude

Do you like it?

10 years "teach yourself" plan?

You do not need all details but know where to find these.

Coding and detection articles: IEEE publications...

The other topics should be available from MOOCs or academic books

Hope it helps

Great subject, it will motivate in depth learning very useful for later

I would also recommend you to have some background knowledge about behavioral profiling approaches in general and the use of machine learning algorithms in particular to detect and classifiy such events (intrusions).

Renaud Di Francesco Thank you very much. You open my eyes on several topics i'm searching for.

But i'm afraid it's too large and it may be take long time. Can you help me with your advice about publications that brief them ?

Thanks for your advices.

Dear Mahmoud Abdel Aziz Elgindy,

in the appendix you have a short bibliography. After reviewing these sources, you'll see where your "knowledge gaps" are.

Best regards and much success

Anatol Badach

IoT Security – Literature for an overview of research topics

• Jorge Granjal, Edmundo Monteiro, Jorge Sá Silva: „Security for the Internet of Things: A Survey of Existing Protocols and Open Research Issues“, IEEE Communications Surveys & Tutorials, Vol. 17(3), Jul 2015; DOI: 10.1109/COMST.2015.2388550

https://www.researchgate.net/publication/272641092_Security_for_the_Internet_of_Things_A_Survey_of_Existing_Protocols_and_Open_Research_Issues

• M. A. Ferrag, L. A. Maglaras, H. Janicke , J. Jiang: „Authentication Protocols for Internet of Things: A Comprehensive Survey“, arXiv, Dec 2016

https://arxiv.org/abs/1612.07206

• Rodrigo Roman, Javier Lopez, Masahiro Mambo: „Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges“; arXiv:1602.00484v2, Nov 2016; DOI: 10.1016/j.future.2016.11.009

https://arxiv.org/abs/1602.00484

• Shancang Li, Li Da Xu, Imed Romdhani (Contributor): Securing the Internet of Things, 2017 Elsevier Inc.; ISBN: 978-0-12-804458-2
• Xiruo Liu, Meiyuan Zhao, Sugang Li, Feixiong Zhang, Wade Trappe: „A Security Framework for the Internet of Things in the Future Internet Architecture“; Future Internet, Vol. 9(3), 2017; DOI: 10.3390/fi9030027

https://www.mdpi.com/1999-5903/9/3/27

• B. B. Zarpelão, R. S. Miani, C. T. Kawakani and S. C. de Alvarenga: A Survey of Intrusion Detection in Internet of Things, Journal of Network and Computer Applications, Vol. 84, Apr 2017; DOI: 10.1016/j.jnca.2017.02.009

http://www.sciencedirect.com/science/article/pii/S1084804517300802

• Pooja, Dr. R. K. Chauhan: Review on Security Attacks and Countermeasures in Wireless Sensor Networks, International Journal of Advanced Research in Computer Science, Vol. 8(5), May-Jun 2017

http://www.ijarcs.info/index.php/Ijarcs/article/viewFile/3980/3520

• Chao Lin, et al.: „Security and Privacy for the Internet of Drones: Challenges and Solutions“; IEEE Communications Magazine, Vol. 56(1), Jan 2018; DOI: 10.1109/MCOM.2017.1700390

https://ieeexplore.ieee.org/abstract/document/8255739

• Francesco Restuccia, Salvatore D’Oro, Tommaso Melodia: Securing the Internet of Things in the Age of Machine Learning and Software-defined Networking, IEEE Internet of Things Journal (Early Access ), Jun 2018; DOI: 10.1109/JIOT.2018.2846040

https://arxiv.org/abs/1803.05022

• Djamel Eddine Kouicem, Abdelmadjid Bouabdallah , Hicham Lakhlef: „Internet of things security: A top-down survey“; Computer Networks, Vol. 141, Aug 2018; DOI: 10.1016/j.comnet.2018.03.012

https://hal.archives-ouvertes.fr/hal-01780365/document

• Shui Yu, Guojun Wang, Xiting Liu, Jianwei Niu: „Security and Privacy in the Age of the Smart Internet of Things: An Overview from a Networking Perspective“; IEEE Communications Magazine, Vol. 56(9), Sep 2018; DOI: 10.1109/MCOM.2018.1701204

https://ieeexplore.ieee.org/document/8466349

Abdulrahman Alruban Actually, i wish using Machine learning specially neural networks.

Thank you for your advice

Hi Mahmood,

You are working in one of the very interesting topics in security.

Security in my understanding is a domain requiring varied niche skills in prescribed minimum amount.

In that you are telling you are into IOT adding much more skill requirements.

1)Coming to security primarily systems knowledge specially in Linux/OS is a mandate.

2)There are two ways at looking at it. If you are working in systems side or application security related to IDS/IPS.

3)IOT Security is a convergent technology requiring working knowledge of Penetration Testing/Hacking, Basic Cryptography Stack and Algorithms is am must.

4)IOT Stack if you are working you need to or expected to know basics of understanding data and storing and mainly securing the same.

5)Hence as part of Data Analysis - Machine learning applications to security/IDS is to be understood since in IDS you would need to analyses logs, find the anomalies, as part of storage and end users Cloud becomes essential from point of view of IOT.

6)If you are in IOT Space even IDS like Snort could be configured in Raspberry Pi primarily an on chip computing device speaking with internet.

7)Application side required you to be skilled in Web Stack and newer Mean Stack like Node.js, Javascript/Jquery to build IOT Apps and integrate to cloud taking into account of all security aspects like you can even developed a dashboard or Web GUI with analytics and alerting mechanisms for ans IDS.

Some good blend of hardware and software skills if you have you can scale up your research work or projects.

I think I answered your question.

Try Blockchain in IoT IDS