SL4

Question 1

What are some security improvements and enhancements in the IoT infrastructure?

Answer 1

o Penetration testing
o End-to-end encryption
o Persistent authentication
o Scalability testing
o Secure decentralised computing
o Use of AI
o Securing cloud

Question 2

What is penetration testing?

Answer 2

Penetration testing: testing to find security vulnerabilities and calculate a risk factor

Question 3

Explain blockchain based security techniques for IoT.

Answer 3

Blockchain is a distributed ledger that provides data security using a distributed and shared ledger

Each entry is tightly coupled with the previous entry using cryptographic hash keys

Example: Ethereum

Question 4

What is used to store transactions in the block chain?

Answer 4

Merkle tree

Question 5

Why is difficult for adversaries to tamper with the blocks in a Merkle tree in blockchain?

Answer 5

Due to the presence of cryptographic hash keys in each block

Question 6

Which type of blockchain is more suited for IoT applications?

Answer 6

Permission based blockchain

Question 7

What are the two types of blockchain?

Answer 7

Permission-less:
o No permission is needed for a user to join blockchain
o Offers decentralization and transparency
o Ex: Bitcoin, cryptocurrencies

Permissioned:
o Have a defined set of rules for blockchain participation
o Offers better scalability

Question 8

Explain ML based security techniques for IoT.

Answer 8

Can be used to design intrusion detection and prevention systems

Parameters such as CPU usage, memory utilization and power consumption can be used as features to train a prediction model

Can be used to classify the network traffic in IoT into different categories

Question 9

What are the 4 types of security techniques for IoT?

Answer 9

Blockchain-based

ML-based

Fog computing based

Edge computing based

Question 10

What are 2 ways ML based security can prevent security attacks?

Answer 10

Detecting Dos/DDos Attacks: MLP based protocols and deep learning based techniques can be used to secure IoT networks

Detecting Eavesdropping attacks: reinforcement learning can provide protection

Privacy leakage: privacy-preserving scientific computations based techniques

Digital fingerprinting: various ML techniques can overcome digital fingerprinting techniques

Question 11

How can ML based security detect DoS/DDoS attacks?

Answer 11

MLP based protocols and deep learning based techniques can be used to secure IoT networks