scholarly journals An Efficient Security System for Mobile Data Monitoring

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Likun Liu ◽  
Hongli Zhang ◽  
Xiangzhan Yu ◽  
Yi Xin ◽  
Muhammad Shafiq ◽  
...  

During the last decade, rapid development of mobile devices and applications has produced a large number of mobile data which hide numerous cyber-attacks. To monitor the mobile data and detect the attacks, NIDS/NIPS plays important role for ISP and enterprise, but now it still faces two challenges, high performance for super large patterns and detection of the latest attacks. High performance is dominated by Deep Packet Inspection (DPI) mechanism, which is the core of security devices. A new TTL attack is just put forward to escape detecting, such that the adversary inserts packet with short TTL to escape from NIDS/NIPS. To address the above-mentioned problems, in this paper, we design a security system to handle the two aspects. For efficient DPI, a new two-step partition of pattern set is demonstrated and discussed, which includes first set-partition and second set-partition. For resisting TTL attacks, we set reasonable TTL threshold and patch TCP protocol stack to detect the attack. Compared with recent produced algorithm, our experiments show better performance and the throughput increased 27% when the number of patterns is 106. Moreover, the success rate of detection is 100%, and while attack intensity increased, the throughput decreased.

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4372 ◽  
Author(s):  
Yan Naung Soe ◽  
Yaokai Feng ◽  
Paulus Insap Santosa ◽  
Rudy Hartanto ◽  
Kouichi Sakurai

With the rapid development and popularization of Internet of Things (IoT) devices, an increasing number of cyber-attacks are targeting such devices. It was said that most of the attacks in IoT environments are botnet-based attacks. Many security weaknesses still exist on the IoT devices because most of them have not enough memory and computational resource for robust security mechanisms. Moreover, many existing rule-based detection systems can be circumvented by attackers. In this study, we proposed a machine learning (ML)-based botnet attack detection framework with sequential detection architecture. An efficient feature selection approach is adopted to implement a lightweight detection system with a high performance. The overall detection performance achieves around 99% for the botnet attack detection using three different ML algorithms, including artificial neural network (ANN), J48 decision tree, and Naïve Bayes. The experiment result indicates that the proposed architecture can effectively detect botnet-based attacks, and also can be extended with corresponding sub-engines for new kinds of attacks.


Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1937
Author(s):  
So-Yeon Kim ◽  
Sun-Woo Yun ◽  
Eun-Young Lee ◽  
So-Hyeon Bae ◽  
Il-Gu Lee

With the recent development and popularization of various network technologies, communicating with people at any time, and from any location, using high-speed internet, has become easily accessible. At the same time, eavesdropping, data interception, personal data leakage, and distribution of malware during the information transfer process have become easier than ever. Recently, to respond to such threats, end-to-end encryption (E2EE) technology has been widely implemented in commercial network services as a popular information security system. However, with the use of E2EE technology, it is difficult to check whether an encrypted packet is malicious in an information security system. A number of studies have been previously conducted on deep packet inspection (DPI) through trustable information security systems. However, the E2EE is not maintained when conducting a DPI, which requires a long inspection time. Thus, in this study, a fast packet inspection (FPI) and its frame structure for quickly detecting known malware patterns while maintaining E2EE are proposed. Based on the simulation results, the proposed FPI allows for inspecting packets approximately 14.4 and 5.3 times faster, respectively, when the inspection coverage is 20% and 100%, as compared with a DPI method under a simulation environment in which the payload length is set to 640 bytes.


2020 ◽  
Vol 13 (4) ◽  
pp. 1132-1153 ◽  
Author(s):  
Tianpei Zhou ◽  
Nan Zhang ◽  
Changzheng Wu ◽  
Yi Xie

Surface/interface nanoengineering of electrocatalysts and air electrodes will promote the rapid development of high-performance rechargeable Zn–air batteries.


2018 ◽  
Vol 28 (6) ◽  
pp. 1849-1854
Author(s):  
Marin Petkov

The rapid development of science and technology has led to the emergence of a crisis in society. Science "pushes" religion, but does not offer a new moral code in its place. The definitions of "security" are almost as many and as controversial as postmodernism. For the purposes of this study, however, it will be sufficient to define security as "the functional state of a system that provides for the neutralization and counteraction of external and internal factors affecting or potentially damaging the system." This scientific article presents a study, which seeks to answer the question why the paradigm "security" is so important in the postmodern society, what are the roots of its influence and meaning, and to seek conclusions and guidelines for its increase.


2009 ◽  
Vol 20 (8) ◽  
pp. 2214-2226 ◽  
Author(s):  
Qian XU ◽  
Yue-Peng E ◽  
Jing-Guo GE ◽  
Hua-Lin QIAN

Sign in / Sign up

Export Citation Format

Share Document