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Applications of Artificial Intelligence to Detect Android Botnets: A Survey
IEEE Access, 2022 From the growing popularity of Android smart devices, and especially with the recent advances brought on by the COVID-19 pandemic on digital adoption and transformation, the importance of protecting these devices has grown, as they carry very sensitive ...
Abdullah M. Almuhaideb +1 more
doaj +1 more source
A Survey on Botnets: Incentives, Evolution, Detection and Current Trends
Future Internet, 2021 Botnets, groups of malware-infected hosts controlled by malicious actors, have gained prominence in an era of pervasive computing and the Internet of Things.
Simon Nam Thanh Vu +4 more
doaj +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
A survey on latest botnet attack and defense
, 2011 A botnet is a group of compromised computers, which are remotely controlled by hackers to launch various network attacks, such as DDoS attack and information phishing. Botnet has become a popular and productive tool behind many cyber attacks.
Watters, Paul +7 more
core +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
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
, 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
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
Autonomous Botnet Detection [PDF]
, 2013 With the pervasiveness of internet, huge threats have been seen in last few decades. These threats involve the activities for violation of security in terms of integrity, confidentiality, denial of service, authentication.
Chandankhede, Pragati
core +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