Grouping-Enhanced Resilient Probabilistic En-Route Filtering of Injected False Data in WSNs

Efficient Geographical Information-Based En-route Filtering Scheme in Wireless Sensor Networks

“…En-route filtering is an effective mechanism to address the false data injection problem, with which, the forwarding nodes can detect and drop false reports early. Recently, many en-route filtering schemes [14][15][16][17][18][19][20][21][22][23][24] have been proposed which can be classified into two major categories: symmetric cryptography based schemes and asymmetric cryptography based schemes. Asymmetric cryptography based schemes (e.g., CCEF [14], LTE [15], PDF [16], DAEF [17], and ERF [18]) are generally more resilient to adversaries, however, symmetric cryptography based schemes are more efficient in terms of communication overhead, computation overhead, and storage overhead.…”

“…Asymmetric cryptography based schemes (e.g., CCEF [14], LTE [15], PDF [16], DAEF [17], and ERF [18]) are generally more resilient to adversaries, however, symmetric cryptography based schemes are more efficient in terms of communication overhead, computation overhead, and storage overhead. Therefore, symmetric cryptography based techniques have attracted huge attention, and large amount of work has been done in recent time, such as SEF [19], DEFS [20], GRPEF [21], BECAN [22], GFFS [23], NFFS [23], and DSF [24].…”

“…Li et al [21] proposed a scheme, referred to as grouping-enhanced resilient probabilistic en-route filtering (GRPEF). In GRPEF, an efficient distributed algorithm is proposed to divide sensor nodes into exact T groups, and guarantee that any location in the monitored area is covered simultaneously by T nodes from distinct groups with a high probability.…”

“…To filter out the false data reports injected by compromised nodes, many schemes have been proposed [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. In [10][11][12][13], the false data reports are forwarded to the sink by intermediate nodes without any filtering, and are verified when they reach the sink, which will waste the constrained resources of intermediate nodes and the limited network bandwidth.…”

“…In [10][11][12][13], the false data reports are forwarded to the sink by intermediate nodes without any filtering, and are verified when they reach the sink, which will waste the constrained resources of intermediate nodes and the limited network bandwidth. However, in the en-route filtering schemes proposed in [14][15][16][17][18][19][20][21][22][23][24], the false data reports are verified by intermediate nodes and are dropped early, which can save the limited network bandwidth and energy. Therefore, the false data en-route filtering strategies are favored by scholars.…”