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Embedded detectors for network-based attacks

Cache based Timing Attacks on Embedded Systems

Cache based Timing Attacks on Embedded Systems

... for embedded systems has grown ...the embedded devices has ...only based on the underlying ...are based on the physical characteristics of the particular implementation on the device, such as ...

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A Survey of Network-based Security Attacks

A Survey of Network-based Security Attacks

... It was found that in the 2000s gambling companies, finance companies, and anyone whose job, whose livelihood, depended on being up and online all the time 24/7, was being held for ransom. They would get a call, an email, ...

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Detection of Network Attacks Based on NetFlow Data

Detection of Network Attacks Based on NetFlow Data

... particular network segment. It is very difficult to obtain data from a network where you are not an administrator, because most admins will not let you use their network traffic ...

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AppCon: Mitigating evasion attacks to ML cyber detectors

AppCon: Mitigating evasion attacks to ML cyber detectors

... Adversarial attacks represent a critical issue that prevents the reliable integration of machine learning methods into cyber defense ...proficient detectors are highly affected just by small perturbations ...

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Using internal sensors and embedded detectors for intrusion detection

Using internal sensors and embedded detectors for intrusion detection

... which detectors are implemented have already been fixed in ...the detectors for each attack have to be ...try attacks against the instrumented system without worrying about the ad- verse effects they ...

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Comparative Evaluation of Header vs. Payload based Network Anomaly Detectors

Comparative Evaluation of Header vs. Payload based Network Anomaly Detectors

... in network traffic ...“zero-day” attacks against computers and network ...anomaly detectors which work on both header and payload perform better than those ADS which consider only header for ...

5

A specification-based IDS for detecting attacks on RPL-based network topology

A specification-based IDS for detecting attacks on RPL-based network topology

... RPL-based network, the two most applicable IDS approaches for detecting the internal threats are the anomaly-based and ...hoc network from the internal ...the network) will request its ...

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Localized attacks on spatially embedded networks with dependencies

Localized attacks on spatially embedded networks with dependencies

... are embedded in space and their components may depend on one another to ...malicious attacks or natural ...spatially embedded networks with dependencies under localized ...localized attacks on ...

6

Attacks on Network Infrastructure

Attacks on Network Infrastructure

... of network attacksattacks that target the network in- ...techniques based on processor monitoring that we have proposed in prior work can help in detecting and avoiding such ...

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Modeling Network Attacks

Modeling Network Attacks

... is based upon the type of attacker being ...the network will ...Your network consists of both wired and wireless LAN segments in order to support mobile ...

8

A Neural Network Based System for Intrusion Detection and Classification of Attacks

A Neural Network Based System for Intrusion Detection and Classification of Attacks

... neural network based intrusion detection system, intended to classify the normal and attack patterns and the type of the attack, has been presented in this ...neural network and at the same time ...

6

CiteSeerX — An ontology-based system to identify complex network attacks

CiteSeerX — An ontology-based system to identify complex network attacks

... Computer network security; Intrusion Detection System; Ontology ...a network or host, also referred to as intrusion detection, is an active research area that does not have a definitive ...new ...

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Defending Network-Based Services Against Denial of Service Attacks

Defending Network-Based Services Against Denial of Service Attacks

... overload attacks; evaluate the overhead of the solution through a combination of simulation and implementation; and outline an incremental deployment strategy for its partial ...

6

Mitigating Network-Based Denial-of-Service Attacks with Client Puzzles

Mitigating Network-Based Denial-of-Service Attacks with Client Puzzles

... synflood attacks and could be considered as an alternative to ...these attacks and still be able to recover the actions from the three-way handshake is the best choice for ...

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An evolvable block-based neural network architecture for embedded hardware

An evolvable block-based neural network architecture for embedded hardware

... d) Parallel processing for BbNN simulation and training is achieved using a computer equipped with a 2.8 Ghz Intel Core i7 processor. For performing multithreaded execution, the libpthread library is used. e) Verilog and ...

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Detecting Network-Based Obfuscated Code Injection Attacks Using Sandboxing

Detecting Network-Based Obfuscated Code Injection Attacks Using Sandboxing

... compared to signatures searching exclusively for NOP instructions preceding the payload of an attack, but is unlikely to detect attacks that make use of obfuscation techniques since these techniques obfuscate the ...

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Detection of wormhole attacks on IPv6 mobility based wireless sensor network

Detection of wormhole attacks on IPv6 mobility based wireless sensor network

... sensor network or IoT will be the trend, and more and more wireless sensor network applications have been developed in the ...sensor network, the devices have only limited computing and electricity ...

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Network Attacks Detection Based on Multi Clustering and Trace back Methods

Network Attacks Detection Based on Multi Clustering and Trace back Methods

... Denial-of-Service attacks are a grave threat to the ...for attacks that is based on the entropy variation between the normal and assail traffic, which is essentially different from commonly used ...

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Classification, Detection and Prevention of Network Attacks using Rule Based Approach

Classification, Detection and Prevention of Network Attacks using Rule Based Approach

... square based SVM estimation is ...(IDS) based Hybrid Evolutionary Neural Network (HENN) using the genetic algorithm has been ...of attacks such as Flooding, Black hole, Neighbor, Rushing and ...

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Entropy Trust based Approach against IP Spoofing Attacks in Network

Entropy Trust based Approach against IP Spoofing Attacks in Network

... Kolkata-32 ABSTRACT Designing and architecture of Trust model in WSN is now a days research challenge. Trust is important in wireless networks because collaboration and cooperation among nodes and critical towards ...

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