Results 11 to 20 of about 26,093 (253)

Advanced persistent threat detection through multi-modal behavioral analysis. [PDF]

PLoS ONE
Advanced Persistent Threats (APTs) represent sophisticated cyberattacks characterized by stealth, persistence, and evasion of traditional detection mechanisms.
Adel Alshamrani
doaj   +2 more sources

Advanced Persistent Threat (APT) and intrusion detection evaluation dataset for linux systems 2024 [PDF]

Data in Brief
The novel dataset called Linux-APT Dataset 2024 captures Advanced Persistent Threat (APT) attacks along with other latest and sophisticated payloads. Existing datasets lacks latest attacker's techniques and procedures, APTs tactics and configuration to ...
Syed Sohaib Karim, Mehreen Afzal, Waseem Iqbal, Dawood Al Abri   +3 more
doaj   +2 more sources

BAN: Predicting APT Attack Based on Bayesian Network With MITRE ATT&CK Framework

IEEE Access, 2023
Since cyberattacks have become sophisticated in the form of advanced persistent threats (APTs), predicting and defending the APT attacks have drawn lots of attention.
Youngjoon Kim, Insup Lee, Hyuk Kwon, Kyeongsik Lee, Jiwon Yoon   +4 more
doaj   +1 more source

Big knowledge-based semantic correlation for detecting slow and low-level advanced persistent threats

Journal of Big Data, 2021
Targeted cyber attacks, which today are known as Advanced Persistent Threats (APTs), use low and slow patterns to bypass intrusion detection and alert correlation systems.
Amir Mohammadzade Lajevardi, Morteza Amini   +1 more
doaj   +1 more source

Construction of Index System Based on Advanced Persistent Threat

ITM Web of Conferences, 2017
With the proliferation of advanced persistent threat (APT), APT attack effect evaluation is playing an increasingly important role in cyberspace. As one of the hot issues of network security, the evaluation to its attack effect can quantify the harm ...
Lin Jia, Jiang Rong, Qi Yu-Lu, Yang Shu-Qiang, Li Ai-Ping   +4 more
doaj   +1 more source

Flow-Data Gathering Using NetFlow Sensors for Fitting Malicious-Traffic Detection Models

Sensors, 2020
Advanced persistent threats (APTs) are a growing concern in cybersecurity. Many companies and governments have reported incidents related to these threats.
Adrián Campazas-Vega, Ignacio Samuel Crespo-Martínez, Ángel Manuel Guerrero-Higueras, Camino Fernández-Llamas   +3 more
doaj   +1 more source

Research on the Defense of Advanced Persistent Threats in Enterprise Network

Dianxin kexue, 2013
Recently,advanced persistent threats have become a hot spot of information security industry as so many reports were taken about that some famous companies had been suffered from it.
Dongxin Liu, Guorong Liu, Shuai Wang, Jun Shen, Huamin Jin   +4 more
doaj   +2 more sources

Nation-State Threat Actor Attribution Using Fuzzy Hashing

IEEE Access, 2023
Recent years have seen a rise in state-sponsored malware. Advanced Persistent Threat groups (APTs) have been waging a covert war with little repercussions due to the clandestine nature of cyberconflict. For sanctions to be imposed, malware attribution is
Michal Kida, Oluwafemi Olukoya
doaj   +1 more source

Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF

Tongxin xuebao, 2022
Objectives: In the face of the complex and changing network security environment, how to fight against Advanced Persistent Threat (APT) attacks has become an urgent problem for the entire security community.
Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI   +5 more
doaj   +2 more sources

Review of threat discovery and forensic analysis based on system provenance graph

Tongxin xuebao, 2022
By investigating works of literature related to provenance graph research, a research framework for network threat discovery and forensic analysis based on system-level provenance graph was proposed.A detailed overview of data collection, data management,
Tao LENG, Lijun CAI, Aimin YU, Ziyuan ZHU, Jian’gang MA, Chaofei LI, Ruicheng NIU, Dan MENG   +7 more
doaj   +2 more sources