Visualization and deep-learning-based malware variant detection using OpCode-level features

A Darem, J Abawajy, A Makkar, A Alhashmi… - Future Generation …, 2021 - Elsevier
Malicious software (malware) is a major threat to the systems and networks' security.
Although anti-malware products are used to protect systems and networks against malware …

[HTML][HTML] Detecting the presence of malware and identifying the type of cyber attack using deep learning and VGG-16 techniques

AIA Alzahrani, M Ayadi, MM Asiri, A Al-Rasheed… - Electronics, 2022 - mdpi.com
malware is malicious software (harmful program files) that targets and damage computers,
devices, networks, and servers. Many types of malware exist, including worms, viruses …

Advances in spam detection for email spam, web spam, social network spam, and review spam: ML-based and nature-inspired-based techniques

AA Akinyelu - Journal of Computer Security, 2021 - journals.sagepub.com
Despite the great advances in spam detection, spam remains a major problem that has
affected the global economy enormously. Spam attacks are popularly perpetrated through …

SecureCPS: Cognitive inspired framework for detection of cyber attacks in cyber–physical systems

A Makkar, JH Park - Information processing & management, 2022 - Elsevier
In the era of autonomous systems, the security is indispensable module for flexible
computing environment. Due to increased computer power and network speed, a new …

PROTECTOR: An optimized deep learning-based framework for image spam detection and prevention

A Makkar, N Kumar - Future Generation Computer Systems, 2021 - Elsevier
Image spam is a spamming technique that integrates spam text content into graphical
images in order to bypass conventional text-based spam filters. In order to detect image …

A fuzzy-based approach to enhance cyber defence security for next-generation IoT

A Makkar, U Ghosh, PK Sharma… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In the modern era, the Cognitive Internet of Things (CIoT) in conjunction with IoT evolves
which provides the intelligence power of sensing and computation for next-generation IoT …

SPAMI: A cognitive spam protector for advertisement malicious images

A Makkar, N Kumar, AY Zomaya, S Dhiman - Information Sciences, 2020 - Elsevier
In modern era, the graphical information is presented in the form of web images. As the
dependency of human beings on web information is increasing day-by-day, so the …

Detecting web spam in webgraphs with predictive model analysis

NS Sattar, S Arifuzzaman, MF Zibran… - … Conference on Big …, 2019 - ieeexplore.ieee.org
Web spam is a serious threat for both end-users and search engines (wrt, query cost).
Webgraphs can be exploited in detecting spam. In the past, several graph mining …

Detecting web spam based on novel features from web page source code

J Liu, Y Su, S Lv, C Huang - Security and Communication …, 2020 - Wiley Online Library
Search engine is critical in people's daily life because it determines the information quality
people obtain through searching. Fierce competition for the ranking in search engines is not …

[PDF][PDF] A novel computer assisted genomic test method to detect breast cancer in reduced cost and time using ensemble technique

M Gupta, B Gupta, A Jabbari, I Budhiraja… - … -Centric Comput. Inf …, 2023 - researchgate.net
Breast cancer is the leading cause of death among women around the world. It is a primary
malignancy for which genetic markers have revealed the ability for clinical decision making …