Web service is one of the key communications software services for Internet. phishing many security threats to web on aims steal private information, such as usernames, passwords, and credit card details, by way impersonating a legitimate entity. It will lead information disclosure property damage. This paper mainly focuses applying deep learning framework detect websites. first designs two types features phishing: original interaction features. A detection model based Deep Belief Networks...

The exponentially increasing number of internet things (IoT) devices and the data generated by these introduces spectrum crisis at already crowded ISM 2.4 GHz band. To address this issue enable more flexible concurrent communications among IoT devices, we propose B2W2, a novel communication framework that enables N-way WiFi Bluetooth Low Energy (BLE) devices. Specifically, demonstrate it is possible to BLE cross-technology while supporting communications. We conducted extensive experiments...

Existing flooding algorithms have demonstrated their effectiveness in achieving communication efficiency and reliability wireless sensor networks. However, further performance improvement has been hampered by the assumption of link independence, a design premise imposing need for costly acknowledgements (ACKs) from every receiver. In this paper, we present Collective Flooding (CF), which exploits correlation to achieve using concept collective ACKs. CF requires only 1-hop information sender,...

Flooding in low-duty-cycle wireless sensor networks is very costly due to asynchronous schedules of nodes. To adapt existing flooding-tree-based designs for networks, we shall schedule nodes common parents wake up simultaneously. Traditionally, energy optimality a designated flooding-tree achieved by selecting with the highest link quality. In this work, demonstrate that surprisingly more can be saved considering correlation. Specifically, work first experimentally verifies existence...

Advanced Metering Infrastructure (AMI) is the core component in a smart grid that exhibits highly complex network configuration. AMI shares information about consumption, outages, and electricity rates reliably efficiently by bidirectional communication between meters utilities. However, numerous being connected through mesh networks open new opportunities for attackers to interfere with communications compromise utilities assets or steal customers private information. In this paper, we...

The exponentially increasing number of IoT devices makes the unlicensed industrial, scientific, and medical (ISM) radio bands (e.g., 2.4 GHz) extremely crowded. Currently, there is no efficient solution to coordinate large amount heterogeneous that have different communication technologies WiFi ZigBee). To fill this gap, in paper, we introduce embedded multiple flows (EMF) method, which (i) embeds pieces information existing traffic (ii)concurrently sends out these from one sender receivers...

To support ubiquitous computing for various applications (such as smart health, homes, and cities), the communication system requires to be ubiquitously available, ultra-low-power, high throughput, low-latency. A passive such backscatter is desirable. However, existing systems cannot achieve all of above requirements. In this paper, we present first LTE (LScatter) that leverages continuous ambient traffic ubiquitous, throughput low latency communication. Our design motivated by our...

Due to volatile and rising energy prices, smart microgrids appear be increasingly popular. Instead of one centrally located power plant, the will rely on solar panels wind turbines every house sharing renewable among houses. How efficiently optimally share is a challenging problem. In order energy, routing protocols in data network are needed, which introduces another design challenge that how feasibly detect defend major attacks against for microgrids. Most existing secure other networks...

With advances in energy harvesting techniques, it is now feasible to build sustainable sensor networks (SSN) support long-term applications. Unlike battery-powered networks, the objective of effectively utilize a continuous stream ambient energy. Instead pushing limits conservation, we are aiming at energy-synchronized designs <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> keep supplies and demands balance. Specifically, this work...

The exponentially increasing number of heterogeneous Internet Things (IoT) devices motivate us to explore more efficient and higher throughput communication, especially at the bottleneck (i.e., edge) IoT networks. Our work, named Chiron, opens a promising direction for Physical (PHY) layer concurrent high communication (e.g., wider-band WiFi narrower-band ZigBee). Specifically, PHY layer, Chiron enables concurrently transmitting (or receiving) 1 stream data up 4 streams ZigBee from)...

The exponentially increasing number of Internet things (IoT) devices introduces spectrum crisis to the widely used industrial, scientific, and medical (ISM) frequency band. Since IoT use heterogeneous radios with different bandwidths (e.g., 20 MHz for WiFi 2 ZigBee), traditional interference avoidance methods, such as time-division multiple access (TDMA) carrier-sense (CSMA), have very low utilization. This is because TDMA CSMA allocate packets at time domain, without considering bandwidth...

The camera is one of the most important sensors for an autonomous vehicle (AV) to perform Environment Perception and Simultaneous Localization Mapping (SLAM). To secure camera, current vehicles not only utilize data gathered from multiple (e.g., Camera, Ultrasonic Sensor, Radar, or LiDAR) environment perception SLAM but also require human driver always realize driving situation, which can effectively defend against previous attack approaches (i.e., creating visible fake objects introducing...

Human posture recognition has a wide range of applications including elderly care and video surveillance. This paper discusses how to recognize human postures using wearable devices. From real-world data, we analyze the challenges in terms result performance, efficiency sensor selection. To deal with challenges, present our design five techniques: i) oversampling undersampling methods, ii) ensemble learning, iii) selection, iv) stream data classification v) post-processing techniques. We...

Recent advances in cross-technology communication have significantly improved the spectrum efficiency same ISM band among heterogeneous wireless devices (e.g., WiFi and ZigBee). However, further performance improvement whole network is hampered because layer missing. As first design, our work, named ECT, opens a promising direction for reducing packet delivery delay via collaborative concurrent between ZigBee devices. Specifically, ECT can dynamically change nodes' priorities reduce from...

The password has become today's dominant method of authentication. While brute-force attack methods such as HashCat and John the Ripper have proven unpractical, research then switches to guessing. State-of-the-art approaches Markov Model probabilistic context-free grammar (PCFG) are all based on statistical probability. These require a large amount calculation, which is time-consuming. Neural networks more accurate practical in guessing than traditional methods. However, raw neural network...

Although existing flooding protocols can provide efficient and reliable communication in wireless sensor networks on some level, further performance improvement has been hampered by the assumption of link independence, which requires costly acknowledgments (ACKs) from every receiver. In this paper, we present collective (CF), exploits correlation to achieve reliability using concept ACKs. CF only 1-hop information at each node, making design highly distributed scalable with low complexity....

Location based social networks (LBSNs) are becoming increasingly popular with the fast deployment of broadband mobile and growing prevalence versatile devices. This success has attracted great interest in studying measuring characteristics LBSNs, such as Facebook Places, Yelp, Google+ Local. However, it is often prohibitive, sometimes too costly, to obtain a detailed complete snapshot LBSN due its usually massive scale. In this work, taking Foursquare an example, we focus on sampling...

Password has become today's dominant method of authentication in social network. While the brute-force attack methods, such as HashCat and John Ripper, are unpractical, research then switches to password guess. The state-of-the-art approaches, Markov Model probabilistic context-free grammars(PCFG), all based on statistical probability. These approaches have a low matching rate. methods neural network been proved more accurate practical for guessing than traditional methods. However, raw...

The exponentially increasing number of Internet Things (IoT) devices and the data generated by these introduces spectrum crisis at already crowded ISM 2.4-GHz band. To address this issue enable more flexible concurrent communications among IoT devices, we propose B <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> W , a novel communication framework that enables N-way Wi-Fi Bluetooth low energy (BLE) devices. Specifically, demonstrate it...

Virtualization is a technique that allows multiple instances typically running different guest operating systems on top of single physical hardware. A hypervisor, layer software the host system, runs and manages these systems. Rather than to run services servers for reliability security reasons, companies started employ virtualization over their within server. This approach proves beneficial as it provides much better reliability, stronger isolation, improved resource utilization compared...

Wireless communication consumes a significant amount of energy in wireless networks. Most multi-hop routing protocols are adopted from wired network and use pre-selected single or multiple minimum cost paths to forward data packets. However unlike networks, has unique characteristics such as unreliable links receivers associated with packet transmission. These particular make it inefficient by using preselected In this paper we propose scalable, opportunistic, efficient protocol (E <sup...

When the number of data generating sensors increases and amount sensing grows to a scale that traditional methods cannot handle, big are needed for applications. However, is fuzzy science concept there no existing research architecture it nor generic application structure in field sensing. In this survey, we explore many scattered results have been achieved by combining techniques with present our vision Firstly, outline categories generally summarize achievements. Then discuss proposed...