Summary
Because of the rapid increasing of malware attacks on the Internet of Things in recent years, it is critical for resource-constrained devices to guard against potential risks. The traditional host-based security solution becomes puffy and inapplicable with the development of malware attacks. Moreover, it is hard for the cloud-based security solution to achieve both the high performance detection and the data privacy protection simultaneously. This paper proposes a cloud-based anti-malware system, called CloudEyes, which provides efficient and trusted security services for resource-constrained devices. For the cloud server, CloudEyes presents suspicious bucket cross-filtering, a novel signature detection mechanism based on the reversible sketch structure, which provides retrospective and accurate orientations of malicious signature fragments. For the client, CloudEyes implements a lightweight scanning agent which utilizes the digest of signature fragments to dramatically reduce the range of accurate matching. Furthermore, by transmitting sketch coordinates and the modular hashing, CloudEyes guarantees both the data privacy and low-cost communications. Finally, we evaluate the performance of CloudEyes by utilizing both the campus suspicious traffic and normal files. The results demonstrate that the mechanisms in CloudEyes are effective and practical, and our system can outperform other existing systems with less time and communication consumption. Copyright © 2016 John Wiley & Sons, Ltd.

CloudEyes: Cloud-based malware detection with reversible sketch for resource-constrained internet of things (IoT) devices

A survey on network coding

Distributed Denial of Service (DDoS) is defined as an attack in which mutiple compromised systems are made to attack a single target to make the services unavailable foe legitimate users.It is an attack designed to render a computer or network incapable of providing normal services. DDoS attack uses many compromised intermediate systems, known as botnets which are remotely controlled by an attacker to launch these attacks. DDOS attack basically results in the situation where an entity cannot perform an action for which it is authenticated. This usually means that a legitimate node on the network is unable to reach another node or their performance is degraded. The high interruption and severance caused by DDoS is really posing an immense threat to entire internet world today. Any compromiseto computing, communication and server resources such as sockets, CPU, memory, disk/database bandwidth, I/O bandwidth, router processing etc. for collaborative environment would surely endanger the entire application. It becomes necessary for researchers and developers to understand behaviour of DDoSattack because it affects the target network with little or no advance warning. Hence developing advanced intrusion detection and prevention systems for preventing, detecting, and responding to DDOS attack is a critical need for cyber space. Our rigorous survey study presented in this paper describes a platform for the study of evolution of DDoS attacks and their defense mechanisms.

/pdf/a-survey-on-latest-dos-attacks-classificationand-defense-2qkb8bgtq5.pdf

A Survey on Latest DoS Attacks:Classificationand Defense Mechanisms

Access point selection in beyond 5G hybrid MmWave/Wi-Fi/Li-Fi network

Security against passive attacks on network coding system – A survey

Network coding has emerged as a promising approach for peer-to-peer converged
 ubiquitous networks to increase network capacity and solve the block reconciliation
 problem. However, peer-to-peer systems with network coding suffer a severe security
 threat, known as pollution attack, in which malicious peers inject corrupted packets
 into the information flow. Previous solutions are either computationally expensive
 or too ineffective to limit pollution attacks with arbitrary collusion among
 malicious peers. In this paper, we propose time keys, an efficient security scheme
 which allows participating peers to efficiently detect corrupted packets by using
 time and space properties of network coding. Our work is an innovative security
 solution to frustrate pollution attacks with collusion based on time and space
 properties of network coding. In addition, time keys scheme provides an efficient
 packet verification without requiring the existence of any extra secure channels. We
 also present security analysis and simulations of our scheme, and results
 demonstrate the practicality and efficiency of time keys scheme.

Securing network coding against pollution attacks in P2P converged ubiquitous networks

The RSSI-based localization is widely researched in wireless network, the signal strength acquirement is convenient by network nodes and need not additional hard wares. We propose a numerical method to correct and optimize the weight value from similitude signal strength named CO-WVSS for improving range accuracy. In particular, we correct and optimize a weight value to reduce errors of RSSI measurement which combined with triangle centroid localization algorithm and estimate the angel and path to optimize the localization algorithm with CO-WVSS. In addition, we perform computer simulations using the OPNET modeler in order to prove our hybrid algorithm can obviously the locating accuracy compared to the single triangle centroid localization algorithm based on RSSI.

A Hybrid Localization Algorithm for Improving Accuracy Based on RSSI/AOA in Wireless Network

In wireless local area networks (WLANs), there could be several available access points (APs) around a Station (STA). How to select the most appropriate AP among those available APs has become a hot research topic. The conventional selection policy, which selects one AP with the best RSSI, makes the loads among APs be distributed unevenly and degrades resource utilization rate. Recently, several AP selection mechanisms have been proposed, which can facilitate the load imbalance and improve the network performance. However, due to the effect of Mutil-Rate in IEEE 802.11a/b/g protocol, the accuracy of AP selection could be reduced. In this paper, we propose a Mutil-Rate Access Point selection (MRAPS) policy, which not only considers overall received signal strength indication(RSSI), throughput and transmission rate, but also can be implemented easily. In addition, we perform computer simulations using the OPNET modeler in order to verify the performance of our scheme. The results show that our proposed selection policy outperforms the conventional policy.

A Mutil-Rate Access Point selection policy in IEEE 802.11 WLANs

In this paper, the recent research on secure transmission of network coding in wireless networks is reviewed. Security risks have become a major problem to the development of wireless networks, and network coding is the development trend of next generation secure networks. Firstly, the brief concept of network coding is introduced. Secondly, up to date related research on secure network coding in wireless networks are discussed. Finally, theory and application prospects for secure network coding in wireless networks are given and analyzed. Considering intrinsic properties of network coding, it is important to design a simple and efficient secure network coding schemes in wireless networks. We can see that network coding in wireless networks is a promising research area.

Survey on Secure Transmission of Network Coding in Wireless Networks

The increasingly campus WLAN deployed in order to achieve a wide network coverage and convenient for users, the shared open medium and the varying channel conditions are challenges for network administrator. It is necessary to diagnose network performance faults. We present a flexible architecture for detecting and diagnosing faults in campus WLAN. Furthermore, we show that a novel mechanism called Access Module of Endpoint (AME) that allows disconnected wireless endpoints to convey information to network administrator. We utilize APs to monitor wireless medium and nearby devices, detect and diagnose network performance problems by this monitoring model, the novel architecture model enable disconnected endpoints to diagnose problems with the help of nearby endpoints by AME mechanism.

A Novel Fault Diagnosing Architecture for Campus Wireless Local Area Network

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