Machine learning for email spam filtering: review, approaches and open research problems

EG Dada, JS Bassi, H Chiroma, AO Adetunmbi… - Heliyon, 2019 - cell.com
The upsurge in the volume of unwanted emails called spam has created an intense need for
the development of more dependable and robust antispam filters. Machine learning …

Applicability of machine learning in spam and phishing email filtering: review and approaches

T Gangavarapu, CD Jaidhar, B Chanduka - Artificial Intelligence Review, 2020 - Springer
With the influx of technological advancements and the increased simplicity in
communication, especially through emails, the upsurge in the volume of unsolicited bulk …

Systematic literature review and metadata analysis of ransomware attacks and detection mechanisms

AM Maigida, SM Abdulhamid, M Olalere… - Journal of Reliable …, 2019 - Springer
Ransomware is advanced and upgraded malicious software which comes in the forms of
Crypto or Locker, with the intention to attack and take control of basic infrastructures and …

Cloud computing service for knowledge assessment and studies recommendation in crowdsourcing and collaborative learning environments based on social network …

V Stantchev, L Prieto-González, G Tamm - Computers in Human Behavior, 2015 - Elsevier
Interactions among people have substantially changed since the emergence of social
networks, the expansion of the Internet and the proliferation of connected mobile devices …

An artificial immunity approach to malware detection in a mobile platform

J Brown, M Anwar, G Dozier - EURASIP Journal on Information Security, 2017 - Springer
Inspired by the human immune system, we explore the development of a new Multiple-
Detector Set Artificial Immune System (mAIS) for the detection of mobile malware based on …

Detection of mobile malware: an artificial immunity approach

J Brown, M Anwar, G Dozier - 2016 IEEE Security and Privacy …, 2016 - ieeexplore.ieee.org
Inspired by the human immune system, we explore the development of a new multiple
detector set artificial immune system (mAIS) for the detection of mobile malware based on …

Analysis of the use of artificial immune systems

RM Mikherskii, MR Mikherskii - IOP Conference Series: Materials …, 2021 - iopscience.iop.org
Artificial immune systems are systems of artificial intelligence at the basis of work, which are
based on the principles of the functioning of the biological immune system. These systems …

Towards understanding an open-source bounty: Analysis of bountysource

T Kanda, M Guo, H Hata… - 2017 IEEE 24th …, 2017 - ieeexplore.ieee.org
When develo** and maintaining a software project, many issues about bug fixing or
feature addition are reported on the Bug Tracking System (BTS) and the Issue Tracking …

Intrusion detection using a multiple-detector set artificial immune system

J Brown, M Anwar, G Dozier - 2016 IEEE 17th International …, 2016 - ieeexplore.ieee.org
The goal of an intrusion detection system (IDS) is to monitor activities to detect breaches in
security policies of a computer system or a network. This paper focuses on anomaly …

Review on email spam filtering techniques

N Nisar, N Rakesh, M Chhabra - International Journal of …, 2021 - ijpe-online.com
A huge increase in the number of spam emails has led to the requirement for the evolution of
more reliable and robust anti-spam techniques or filters that are utilized for preventing these …