We study spectral representation as well as predictability and recoverability problems for nonvanishing discrete-time signals from , i.e., for bounded discrete-time signals, including signals that do not vanish at . We extend the notions of ...

Ransomware has evolved from an economic nuisance to a national security threat nowadays, which poses a significant risk to users. To address this problem, we propose RansomTag, a tag-based approach against crypto ransomware with fine-grained data ...

Digital forensics investigators may need to infer the past presence of an application which was uninstalled prior to device seizure or media imaging. Some existing approaches use a catalog of fixed data block hashes to scan for evidence of a previously ...

Data sanitization of modern digital devices is an important issue given that electronic wastes are being recycled and repurposed. The embedded Multi Media Card (eMMC), one of the NAND flash memory-based commodity devices, is one of the popularly recycled ...

Ransomware is increasingly prevalent in recent years. To defend against ransomware in computing devices using flash memory as external storage, existing designs extract the entire raw flash memory data to restore the external storage to a good state. ...

Node breakdown is very common in distributed storage systems, which will result in data loss or damage. Regenerating codes can reduce the network bandwidth cost by broken data recovery. Interference Alignment (IA) code is a type of regenerating code ...

We derive two extensions of the celebrated K-means algorithm as a tool for community detection in feature-rich networks. We define a data-recovery criterion additively combining conventional least-squares criteria for approximation of the network link ...

We investigate the possibility of data recovery for finite sequences with constraints on their spectrum defined by a special discretization of the spectrum range. These sequences are dense in the space of all sequences. We show that uniqueness ...

The problem of community detection in a network with features at its nodes takes into account both the graph structure and node features. The goal is to find relatively dense groups of interconnected entities sharing some features in common. We apply ...

The paper proposes a wireless sensor network activity recognition system based on compressed sensing (CS) for data compression-transmission-recovery (CTR-WSN) in the case of data loss, where effective use of transmission resources, real-time performance, ...

During the development phase of a file carver, it is inappropriate to use a used hard disk as an input medium due to the fact that the file system does not provide openness regarding file fragmentation and location of data on the disk. In this paper, we ...

Conventional RAID solutions with fixed layouts partition large disk enclosures so that each RAID group uses its own disks exclusively. This achieves good performance isolation across underlying disk groups, at the cost of disk under-utilization and slow ...

Data recovery techniques such as compressive sensing are commonly used in mobile crowdsensing (MCS) applications to infer the information of unsensed regions based on data from nearby participants. However, the participants' locations are exposed when ...

Encryption ransomware is a malicious software that stealthily encrypts user files and demands a ransom to provide access to these files. Several prior studies have developed systems to detect ransomware by monitoring the activities that typically occur ...

For real‐time transmission of high‐bandwidth sensor data from an unmanned aircraft vehicle (UAV) to the ground station (GS) in an unmanned aircraft system, a high‐speed payload communication system is essential. While orthogonal frequency‐division ...

Digital devices contain increasingly more data and applications. This means more data to handle and a larger amount of different types of traces to recover and consider in digital forensic investigations. Both present a challenge to data recovery ...

Internet of Things (IoT) solutions are increasingly being deployed for smart applications. To provide good communication for the increasing number of smart applications, there is a need for low cost and long range Low Power Wide Area Network (LPWAN) ...

Partial transmit sequence (PTS) is an effective scheme to reduce high peak‐to‐average power ratio (PAPR) for multicarrier modulation (MCM) signal transmission systems. This approach produces side information (SI) data as a result of the MCM signal ...

The number of applications loaded with malware is rapidly increasing in Android operating system OS. These malwares spread through the official Android market "Play Store", unofficial "black market", and private web pages. Once the malware activates, ...

Tensor completion aims to reconstruct a high-dimensional data set where the vast majority of entries is missing. The assumption of low-rank structure in the underlying original data allows us to cast the completion problem into an optimization problem ...