Security and privacy of smart cities: a survey, research issues and challenges

M Sookhak, H Tang, Y He, FR Yu - … Communications Surveys & …, 2018 - ieeexplore.ieee.org
With recent advances of information and communication technology, smart city has been
emerged as a new paradigm to dynamically optimize the resources in cities and provide …

DDoS attacks at the application layer: Challenges and research perspectives for safeguarding web applications

A Praseed, PS Thilagam - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Distributed denial of service (DDoS) attacks are some of the most devastating attacks
against Web applications. A large number of these attacks aim to exhaust the network …

Adaptive machine learning based distributed denial-of-services attacks detection and mitigation system for SDN-enabled IoT

M Aslam, D Ye, A Tariq, M Asad, M Hanif, D Ndzi… - Sensors, 2022 - mdpi.com
The development of smart network infrastructure of the Internet of Things (IoT) faces the
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …

An entropy-based network anomaly detection method

P Bereziński, B Jasiul, M Szpyrka - Entropy, 2015 - mdpi.com
Data mining is an interdisciplinary subfield of computer science involving methods at the
intersection of artificial intelligence, machine learning and statistics. One of the data mining …

Comprehensive review of artificial intelligence and statistical approaches in distributed denial of service attack and defense methods

BA Khalaf, SA Mostafa, A Mustapha… - IEEE …, 2019 - ieeexplore.ieee.org
Until now, an effective defense method against Distributed Denial of Service (DDoS) attacks
is yet to be offered by security systems. Incidents of serious damage due to DDoS attacks …

Artificial intelligence algorithm-based economic denial of sustainability attack detection systems: Cloud computing environments

THH Aldhyani, H Alkahtani - Sensors, 2022 - mdpi.com
Cloud computing is currently the most cost-effective means of providing commercial and
consumer IT services online. However, it is prone to new flaws. An economic denial of …

Security data collection and data analytics in the internet: A survey

X **g, Z Yan, W Pedrycz - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Attacks over the Internet are becoming more and more complex and sophisticated. How to
detect security threats and measure the security of the Internet arises a significant research …

SkyShield: A sketch-based defense system against application layer DDoS attacks

C Wang, TTN Miu, X Luo, J Wang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Application layer distributed denial of service (DDoS) attacks have become a severe threat
to the security of web servers. These attacks evade most intrusion prevention systems by …

Effective and efficient DDoS attack detection using deep learning algorithm, multi-layer perceptron

S Ahmed, ZA Khan, SM Mohsin, S Latif, S Aslam… - Future Internet, 2023 - mdpi.com
Distributed denial of service (DDoS) attacks pose an increasing threat to businesses and
government agencies. They harm internet businesses, limit access to information and …

RETRACTED ARTICLE: Invariant packet feature with network conditions for efficient low rate attack detection in multimedia networks for improved QoS

M Suchithra, M Baskar, J Ramkumar… - Journal of ambient …, 2021 - Springer
The problem of low rate attack detection has been well studied in different situations.
However the methods suffer to achieve higher performance in low rate attack detection. The …