Results 41 to 50 of about 3,020 (212)
Revealing the Feature Influence in HTTP Botnet Detection
, 2022 Botnet are identified as one of most emerging threats due to Cybercriminals work diligently to make most of the part of the users’ network of computers as their target.
Rudy Fadhlee M. D, Wan Ahmad Ramzi W. Y, Faizal M. A, Siti Rahayu Selamat, +1 more
core +1 more source
Botnet Identification Technology Based on Fuzzy Clustering [PDF]
Jisuanji gongcheng, 2018 A Botnet that combining worms,backdoors,and Trojans has become the backing of Advanced Persistent Threat(APT) attacks because it can be used by attackers to send spam,perform denial of service attacks,and steal sensitive information.Existing Botnet ...
CHEN Ruidong,ZHAO Lingyuan,ZHANG Xiaosong
doaj +1 more source
, 2018 A botnet, a set of compromised machines controlled distantly by an attacker, is the basis of numerous security threats around the world. Command and Control servers are the backbones of botnet communications, where the bots and botmasters send report and
Mohammad Alauthman +7 more
core +1 more source
, 2014 Botnets are emerging as the most serious threat against cyber-security as they provide adistributed platform for several illegal activities such as launching distributed denial of service attacksagainst critical targets, malware dissemination, phishing ...
Harshita Kanani (576566) +1 more
core +1 more source
An Effective Conversation-Based Botnet Detection Method [PDF]
, 2017 A botnet is one of the most grievous threats to network security since it can evolve into many attacks, such as Denial-of-Service (DoS), spam, and phishing. However, current detection methods are inefficient to identify unknown botnet.
Xiaosong Zhang +4 more
core +1 more source
International Journal of Eating Disorders, EarlyView.ABSTRACT Objective Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly comprise research validity. Drawing from our experience using Qualtrics with open recruitment, existing literature, and emerging studies in eating disorders (ED), we outline the risk and provide simple ...
Jamie‐Lee Pennesi +2 more
wiley +1 more source
Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi +2 more
wiley +1 more source
Modular neural network for edge-based detection of early-stage IoT botnet
High-Confidence ComputingThe Internet of Things (IoT) has led to rapid growth in smart cities. However, IoT botnet-based attacks against smart city systems are becoming more prevalent.
Duaa Alqattan +5 more
doaj +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network [PDF]
, 2018 Botnet represent a critical threat to computer networks because their behavior allows hackers to take control of many computers simultaneously. Botnets take over the device of their victim and performs malicious activities on its system.
Abdulghani Ali Ahmed +1 more
core +1 more source